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| "Multivariate Data Visualization with R" |
| "It is often both useful and revealing to create visualizations, plots and graphs of the multivariate data that is the subject of one's research project. Often, both pre-analysis and post-analysis visualizations can help one understand what is going on in the data" in a way that looking at numerical summaries of fitted model estimates cannot. The lattice package in R is uniquely designed to graphically depict relationships in multivariate data sets.This course describes and demonstrates this creative approach for constructing and drawing grid-based multivariate graphic plots and figures using R. Lattice graphics are characterized as multi-variable (3, 4, 5 or more variables) plots that use conditioning and paneling. Consequently, it is a popular approach for, and a good fit to visually present the results of multi-variable statistical model fitting. The appearance of most of the plots, graphs and figures are determined by panel functions, rather than by the high-level graphics function calls themselves. Further, the user of lattice graphics has extensive and comprehensive control over many more of the details and features of the visual plots, far greater control that is afforded by the base graphics approach in R. The method is based on trellis graphics which were popularized in the S language developed by Bell Labs."
Price: 94.99  |
| "Essential Fundamentals of R" |
| "Essential Fundamentals of R is an integrated program that draws from a variety of introductory topics and courses to provide participants with a solid base of knowledge with which to use R software for any intended purpose. No statistical knowledge, programming knowledge, or experience with R software is necessary. Essential Fundamentals of R (7 sessions) covers those important introductory topics basic to using R functions and data objects for any purpose: installing R and RStudio; interactive versus batch use of R; reading data and datasets into R; essentials of scripting; getting help in R; primitive data types; important data structures; using functions in R; writing user-defined functions; the 'apply' family of functions in R; data set manipulation: and subsetting, and row and column selection. Most sessions present "hands-on" material that demonstrate the execution of R 'scripts' (sets of commands) and utilize many extended examples of R functions, applications, and packages for a variety of common purposes. RStudio, a popular, open source Integrated Development Environment (IDE) for developing and using R applications, is also utilized in the program, supplemented with R-based direct scripts (e.g. 'command-line prompts') when necessary."
Price: 94.99  |
| "Extra Fundamentals of R" |
| "Extra Fundamentals of R is an extension of the Udemy course Essential Fundamentals of R. Extra Fundamentals of R introduces additional topics of interest and relevance utilizing many specific R-scripted examples. These broad topics include: (1) Details on using Base, GGPlot and Lattice graphics;(2) An introduction to programming and simulation in R; and(3) Character and string processing in R.All materials, scripts, slides, documentation and anything used or viewed in any one of the video lessons is provided with the course. The course is useful for both R-novices, as well as to intermediate R users. Rather than focus on specific and narrow R-supported skill sets, the course paints a broad canvas illustrating many specific examples in three domains that any R user would find useful. The course is a natural extension of the more basic Udemy course, Essential Fundamentals of R and is highly recommended for those students, as well as for other new students (and for practicing professionals) interested in the three domains enumerated above.Base, GGplot and Lattice (or "trellis) graphics are the three principal graphics systems in R. They each operate under different "rules" and each present useful and often brilliant graphics displays. However, each of these three graphics systems are generally designed and used for different domains or applications.There are many different programming and simulation scenarios that can be modeled with R. This course provides a good sense for some of the potential simulation applications through the presentation of 'down-to-earth,' practical domains or tasks that are supported. The examples are based on common and interesting 'real-world' tasks: (1) simulating a game of coin-tossing; (2) returning Top-Hats checked into a restaurant to their rightful owners; (3) collecting baseball cards and state quarters for profit: (4) validating whether so-called "streaky" behavior, such as have a string of good-hitting behavior in consecutive baseball games, is really unusual from a statistical point of view; (4) estimating the number of taxicabs in a newly-visited city; and (5) estimating arrival times for Sam and Annie at the Empire State Building ("Sleepless in Seattle").R is likely best known for the ability to process numerical data, but R also has quite extensive capabilities to process non-quantitative text (or character) and string variables. R also has very good facilities for implementing powerful "regular expression" natural-language functions. An R user is bested served with an understanding of how these text (or character) and string processing capabilities "work."Most sessions present "hands-on" material that make use of many extended examples of R functions, applications, and packages for a variety of common purposes. RStudio, a popular, open source Integrated Development Environment (IDE) for developing and using R applications, is utilized in the program, supplemented with R-based direct scripts (e.g. 'command-line prompts') when necessary."
Price: 94.99  |
| "The Comprehensive Programming in R Course" |
| "The Comprehensive Programming in R Course is actually a combination of two R programming courses that together comprise a gentle, yet thorough introduction to the practice of general-purpose application development in the R environment. The original first course (Sections 1-8) consists of approximately 12 hours of video content and provides extensive example-based instruction on details for programming R data structures. The original second course (Sections 9-14), an additional 12 hours of video content, provides a comprehensive overview on the most important conceptual topics for writing efficient programs to execute in the unique R environment. Participants in this comprehensive course may already be skilled programmers (in other languages) or they may be complete novices to R programming or to programming in general, but their common objective is to write R applications for diverse domains and purposes. No statistical knowledge is necessary. These two courses, combined into one course here on Udemy, together comprise a thorough introduction to using the R environment and language for general-purpose application development. The Comprehensive Programming in R Course (Sections 1-8) presents an detailed, in-depth overview of the R programming environment and of the nature and programming implications of basic R objects in the form of vectors, matrices, dataframes and lists. The Comprehensive Programming in R Course (Sections 9-14) then applies this understanding of these basic R object structures to instruct with respect to programming the structures; performing mathematical modeling and simulations; the specifics of object-oriented programming in R; input and output; string manipulation; and performance enhancement for computation speed and to optimize computer memory resources."
Price: 174.99  |
| "More Data Mining with R" |
| "More Data Mining with R presents a comprehensive overview of a myriad of contemporary data mining techniques. More Data Mining with R is the logical follow-on course to the preceding Udemy course Data Mining with R: Go from Beginner to Advanced although it is not necessary to take these courses in sequential order. Both courses examine and explain a number of data mining methods and techniques, using concrete data mining modeling examples, extended case studies, and real data sets. Whereas the preceding Data Mining with R: Go from Beginner to Advanced course focuses on: (1) linear, logistic and local polynomial regression; (2) decision, classification and regression trees (CART); (3) random forests; and (4) cluster analysis techniques, this course, More Data Mining with R presents detailed instruction and plentiful ""hands-on"" examples about: (1) association analysis (or market basket analysis) and creating, mining and interpreting association rules using several case examples; (2) network analysis, including the versatile iGraph visualization capabilities, as well as social network data mining analysis cases (marriage and power; friendship links); (3) text mining using Twitter data and word clouds; (4) text and string manipulation, including the use of 'regular expressions'; (5) time series data mining and analysis, including an extended case study forecasting house price indices in Canberra, Australia."
Price: 174.99  |
| "Case Studies in Data Mining with R" |
| "Case Studies in Data Mining was originally taught as three separate online data mining courses. We examine three case studies which together present a broad-based tour of the basic and extended tasks of data mining in three different domains: (1) predicting algae blooms; (2) detecting fraudulent sales transactions; and (3) predicting stock market returns. The cumulative ""hands-on"" 3-course fifteen sessions showcase the use of Luis Torgo's amazingly useful ""Data Mining with R"" (DMwR) package and R software. Everything that you see on-screen is included with the course: all of the R scripts; all of the data files and R objects used and/or referenced; as well as all of the R packages' documentation. You can be new to R software and/or to data mining and be successful in completing the course. The first case study, Predicting Algae Blooms, provides instruction regarding the many useful, unique data mining functions contained in the R software 'DMwR' package. For the algae blooms prediction case, we specifically look at the tasks of data pre-processing, exploratory data analysis, and predictive model construction. For individuals completely new to R, the first two sessions of the algae blooms case (almost 4 hours of video and materials) provide an accelerated introduction to the use of R and RStudio and to basic techniques for inputting and outputting data and text. Detecting Fraudulent Transactions is the second extended data mining case study that showcases the DMwR (Data Mining with R) package. The case is specific but may be generalized to a common business problem: How does one sift through mountains of data (401,124 records, in this case) and identify suspicious data entries, or ""outliers""? The case problem is very unstructured, and walks through a wide variety of approaches and techniques in the attempt to discriminate the ""normal"", or ""ok"" transactions, from the abnormal, suspicious, or ""fraudulent"" transactions. This case presents a large number of alternative modeling approaches, some of which are appropriate for supervised, some for unsupervised, and some for semi-supervised data scenarios. The third extended case, Predicting Stock Market Returns is a data mining case study addressing the domain of automatic stock trading systems. These four sessions address the tasks of building an automated stock trading system based on prediction models that utilize daily stock quote data. The goal is to predict future returns for the S&P 500 market index. The resulting predictions are used together with a trading strategy to make decisions about generating market buy and sell orders. The case examines prediction problems that stem from the time ordering among data observations, that is, from the use of time series data. It also exemplifies the difficulties involved in translating model predictions into decisions and actions in the context of 'real-world' business applications."
Price: 174.99  |
| "Data Mining with Rattle" |
| "Data Mining with Rattle is a unique course that instructs with respect to both the concepts of data mining, as well as to the ""hands-on"" use of a popular, contemporary data mining software tool, ""Data Miner,"" also known as the 'Rattle' package in R software. Rattle is a popular GUI-based software tool which 'fits on top of' R software. The course focuses on life-cycle issues, processes, and tasks related to supporting a 'cradle-to-grave' data mining project. These include: data exploration and visualization; testing data for random variable family characteristics and distributional assumptions; transforming data by scale or by data type; performing cluster analyses; creating, analyzing and interpreting association rules; and creating and evaluating predictive models that may utilize: regression; generalized linear modeling (GLMs); decision trees; recursive partitioning; random forests; boosting; and/or support vector machine (SVM) paradigms. It is both a conceptual and a practical course as it teaches and instructs about data mining, and provides ample demonstrations of conducting data mining tasks using the Rattle R package. The course is ideal for undergraduate students seeking to master additional 'in-demand' analytical job skills to offer a prospective employer. The course is also suitable for graduate students seeking to learn a variety of techniques useful to analyze research data. Finally, the course is useful for practicing quantitative analysis professionals who seek to acquire and master a wider set of useful job skills and knowledge. The course topics are scheduled in 10 distinct topics, each of which should be the focus of study for a course participant in a separate week per section topic."
Price: 149.99  |
| "R Programming for Simulation and Monte Carlo Methods" |
| "R Programming for Simulation and Monte Carlo Methods focuses on using R software to program probabilistic simulations, often called Monte Carlo Simulations. Typical simplified ""real-world"" examples include simulating the probabilities of a baseball player having a 'streak' of twenty sequential season games with 'hits-at-bat' or estimating the likely total number of taxicabs in a strange city when one observes a certain sequence of numbered cabs pass a particular street corner over a 60 minute period. In addition to detailing half a dozen (sometimes amusing) 'real-world' extended example applications, the course also explains in detail how to use existing R functions, and how to write your own R functions, to perform simulated inference estimates, including likelihoods and confidence intervals, and other cases of stochastic simulation. Techniques to use R to generate different characteristics of various families of random variables are explained in detail. The course teaches skills to implement various approaches to simulate continuous and discrete random variable probability distribution functions, parameter estimation, Monte-Carlo Integration, and variance reduction techniques. The course partially utilizes the Comprehensive R Archive Network (CRAN) spuRs package to demonstrate how to structure and write programs to accomplish mathematical and probabilistic simulations using R statistical software."
Price: 174.99  |
| "Linear Mixed-Effects Models with R" |
| "Linear Mixed-Effects Models with R is a 7-session course that teaches the requisite knowledge and skills necessary to fit, interpret and evaluate the estimated parameters of linear mixed-effects models using R software. Alternatively referred to as nested, hierarchical, longitudinal, repeated measures, or temporal and spatial pseudo-replications, linear mixed-effects models are a form of least-squares model-fitting procedures. They are typically characterized by two (or more) sources of variance, and thus have multiple correlational structures among the predictor independent variables, which affect their estimated effects, or relationships, with the predicted dependent variables. These multiple sources of variance and correlational structures must be taken into account in estimating the ""fit"" and parameters for linear mixed-effects models.The structure of mixed-effects models may be additive, or non-linear, or exponential or binomial, or assume various other families of modeling relationships with the predicted variables. However, in this ""hands-on"" course, coverage is restricted to linear mixed-effects models, and especially, how to: (1) choose an appropriate linear model; (2) represent that model in R; (3) estimate the model; (4) compare (if needed), interpret and report the results; and (5) validate the model and the model assumptions. Additionally, the course explains the fitting of different correlational structures to both temporal, and spatial, pseudo-replicated models to appropriately adjust for the lack of independence among the error terms. The course does address the relevant statistical concepts, but mainly focuses on implementing mixed-effects models in R with ample R scripts, real data sets, and live demonstrations. No prior experience with R is necessary to successfully complete the course as the first entire course section consists of a ""hands-on"" primer for executing statistical commands and scripts using R."
Price: 39.99  |
| "Multilevel SEM Modeling with xxM" |
| "Multilevel modeling is a term alternately used to describe hierarchical linear models, nested models, mixed-effects models, random-effects models, and split-plot designs. They are statistical models for estimating parameters that vary at more than one level and which may contain both observed and latent variables at any level. They are generalizations of linear models, particularly linear regression, although they may be extended to non-linear models.xxM is an R package which can estimate multilevel SEM models characterized by complex level-dependent data structures containing both observed and latent variables. The package was developed at the University of Houston by a collaborative team headed by Dr. Paras Mehta. xxM implements a modeling framework called n-Level Structural Equation Modeling (NL-SEM) which allows the specification of models with any number of levels. Because observed and latent variables are allowed at all levels, a conventional SEM model may be specified for each level and across any levels. Also, the random-effects of observed variables are allowed both within and across levels. Mehta claims that xxM is the only software tool in the world that is capable of estimating the effects of both observed and latent variables in a SEM nomological network across an unlimited number of levels.Some of the complex dependent data structures that can be effectively modeled and estimated with xxM include: Hierarchically nested data (e.g. students, classrooms, schools) Longitudinal data (long or wide) Longitudinal data with switching classification (e.g. students changing classrooms) Cross-classified data (e.g. students nested within primary and secondary schools) Partial nesting (e.g. underperforming students in a classroom receive tutoring)Model specification with xxM uses a LEGO-like building block approach for model construction. With an understanding of these basic building blocks, very complex multilevel models may be constructed by repeating the same key building steps.This six-session Multilevel SEM Modeling with xxM course is an overview and tutorial of how to perform these key basic building block steps using xxM. To convey a practical understanding of implementing the core model specification and construction concepts of xxM, seven complete illustrative examples are detailed over the six class sessions. One who completes this course will then be able to construct more complex multilevel models tied to their own research projects. The seven complete examples detailed in the course begin with: (1) a streamlined two-level bivariate random-intercepts model; and (2) a two-level random-slopes model. Then a (3) multilevel confirmatory factor analysis (CFA) and a (4) random-slopes multilevel CFA are detailed, followed by random-slopes (5) 'wide' and (6) 'long' latent growth curve model examples. Finally, a (7) three-level hierarchical model containing both observed and latent variables is fully demonstrated. All of the necessary software, data, manuals, slides and course materials to productively specify and estimate all seven of the course model examples are provided and included in 'resources' folders associated with the video lessons."
Price: 24.99  |
| "Programming Statistical Applications in R" |
| "Programming Statistical Applications in R is an introductory course teaching the basics of programming mathematical and statistical applications using the R language. The course makes extensive use of the Introduction to Scientific Programming and Simulation using R (spuRs) package from the Comprehensive R Archive Network (CRAN). The course is a scientific-programming foundations course and is a useful complement and precursor to the more simulation-application oriented R Programming for Simulation and Monte-Carlo Methods Udemy course. The two courses were originally developed as a two-course sequence (although they do share some exercises in common). Together, both courses provide a powerful set of unique and useful instruction about how to create your own mathematical and statistical functions and applications using R software.Programming Statistical Applications in R is a "hands-on" course that comprehensively teaches fundamental R programming skills, concepts and techniques useful for developing statistical applications with R software. The course also uses dozens of "real-world" scientific function examples. It is not necessary for a student to be familiar with R, nor is it necessary to be knowledgeable about programming in general, to successfully complete this course. This course is 'self-contained' and includes all materials, slides, exercises (and solutions); in fact, everything that is seen in the course video lessons is included in zipped, downloadable materials files. The course is a great instructional resource for anyone interested in refining their skills and knowledge about statistical programming using the R language. It would be useful for practicing quantitative analysis professionals, and for undergraduate and graduate students seeking new job-related skills and/or skills applicable to the analysis of research data.The course begins with basic instruction about installing and using the R console and the RStudio application and provides necessary instruction for creating and executing R scripts and R functions. Basic R data structures are explained, followed by instruction on data input and output and on basic R programming techniques and control structures. Detailed examples of creating new statistical R functions, and of using existing statistical R functions, are presented. Boostrap and Jackknife resampling methods are explained in detail, as are methods and techniques for estimating inference and for constructing confidence intervals, as well as of performing N-fold cross validation assessments of competing statistical models. Finally, detailed instructions and examples for debugging and for making R programs run more efficiently are demonstrated."
Price: 74.99  |
| "Bayesian Computational Analyses with R" |
| "Bayesian Computational Analyses with R is an introductory course on the use and implementation of Bayesian modeling using R software. The Bayesian approach is an alternative to the ""frequentist"" approach where one simply takes a sample of data and makes inferences about the likely parameters of the population. In contrast, the Bayesian approach uses both likelihood functions and a sample of observed data (the 'prior') to estimate the most likely values and distributions for the estimated population parameters (the 'posterior'). The course is useful to anyone who wishes to learn about Bayesian concepts and is suited to both novice and intermediate Bayesian students and Bayesian practitioners. It is both a practical, ""hands-on"" course with many examples using R scripts and software, and is conceptual, as the course explains the Bayesian concepts. All materials, software, R scripts, slides, exercises and solutions are included with the course materials. It is helpful to have some grounding in basic inferential statistics and probability theory. No experience with R is necessary, although it is also helpful.The course begins with an introductory section (12 video lessons) on using R and R 'scripting.' The introductory section is intended to introduce RStudio and R commands so that even a novice R user will be comfortable using R. Section 2 introduces the Bayesian Rule, with examples of both discrete and beta priors, predictive priors, and beta posteriors in Bayesian estimation. Section 3 explains and demonstrates the use of Bayesian estimation for single parameter models, for example, when one wishes to estimate the most likely value of a mean OR of a standard deviation (but not both). Section 4 explains and demonstrates the use of ""conjugate mixtures."" These are single-parameter models where the functional form of the prior and post are similar (for example, both normally distributed). But 'mixtures' imply there may be more than one component for the prior or posterior density functions. Mixtures enable the simultaneous test of competing, alternative theories as to which is more likely. Section 5 deals with multi-parameter Bayesian models where one is estimating the likelihood of more than one posterior variable value, for example, both mean AND standard deviation. Section 6 extends the Bayesian discussion by examining the estimation of integrals to estimate a probability. Section 7 covers the application the Bayesian approach to rejection and importance sampling and Section 8 looks at examples of comparing and validating Bayesian models."
Price: 94.99  |
| "Mediation, Moderation, and Conditional Process Analysis" |
| "Mediation, Moderation, and Conditional PROCESS Analysis is a methodological statistical technique developed by Dr. Andrew F. Hayes which is applied to ordinary least squares (OLS) regression. PROCESS simplifies the 'untangling' of the analyses of combined direct, indirect and total effects driven by simultaneous mediating and moderating influences in an OLS regression model. However, PROCESS can also be directly applied to estimate the mediating and moderating effects of latent variables in PLS path modeling and in covariance-based SEM. In 2013, Dr. A.F. Hayes developed and published a comprehensive statistical approach to estimate and interpret intertwined, cascading, mediating and moderating, direct, indirect, and total effects, and the comparisons of significant differences between them, as embedded in a series of 77 templates for linear models. Dr. Hayes comprehensively integrated these techniques into a coherent set of SAS and SPSS 'PROCESS' scripts to estimate these complicated effects in linear regression models. We extended these SAS and SPSS scripts with R scripts and a GUI interface and applied this approach directly to both OLS regression and to PLS path modeling results. In this course, we provide our complimentary GUI-based desktop application, allstatGUI, that reliably calculates these estimates using participants' own data and OLS models. This course explains the conceptual basis of PROCESS and demonstrates how these complicated mediating and moderating effects can be reliably estimated on your own data and models using the allstatGUI application developed by Mr. Dean Lim and Dr. Geoffrey Hubona.All software is included with the course materials. The course is structured as a tutorial which begins with simple mediation models and then progresses through a series of moderation examples. All of the models and data and analyses are provided with the course materials. A course participant should then be able to apply the PROCESS analysis approach to their own data and models which may contain a mixture of combined mediating and moderating effects.Anyone who regularly works with regression models would benefit from this course. This includes graduate students, faculty and quantitative and data analysis professionals. However, please note that both our allstatGUI application and the PROCESS application are written in the visual RGtk2 language in R which has been noted to have problems running on a Mac computer. So if you only have a Mac computer available to you, you might have problems getting the free software that comes with the course materials to run properly."
Price: 24.99  |
| "Visualization and Imputation of Missing Data" |
| "There are many problems associated with analyzing data sets that contain missing data. However, there are various techniques to 'fill in,' or impute, missing data values with reasonable estimates based on the characteristics of the data itself and on the patterns of 'missingness.' Generally, techniques appropriate for imputing missing values in multivariate normal data and not as useful when applied to non-multivariate-normal data. This Visualization and Imputation of Missing Data course focuses on understanding patterns of 'missingness' in a data sample, especially non-multivariate-normal data sets, and teaches one to use various appropriate imputation techniques to ""fill in"" the missing data. Using the VIM and VIMGUI packages in R, the course also teaches how to create dozens of different and unique visualizations to better understand existing patterns of both the missing and imputed data in your samples. The course teaches both the concepts and provides software to apply the latest non-multivariate-normal-friendly data imputation techniques, including: (1) Hot-Deck imputation: the sequential and random hot-deck algorithm; (2) the distance-based, k-nearest neighbor imputation approach; (3) individual, regression-based imputation; and (4) the iterative, model-based, stepwise regression imputation technique with both standard and robust methods (the IRMI algorithm). Furthermore, the course trains one to recognize the patterns of missingness using many vibrant and varied visualizations of the missing data patterns created by the professional VIMGUI software included in the course materials and made available to all course participants.This course is useful to anyone who regularly analyzes large or small data sets that may contain missing data. This includes graduate students and faculty engaged in empirical research and working professionals who are engaged in quantitative research and/or data analysis. The visualizations that are taught are especially useful to understand the types of data missingness that may be present in your data and consequently, how best to deal with this missing data using imputation. The course includes the means to apply the appropriate imputation techniques, especially for non-multivariate-normal sets of data which tend to be most problematic to impute.The course author provides free-of-charge with the course materials his own unique VIMGUI toolbar developed in the RGtk2 visualization programming language in R. However, please note that both the R-provided VIMGUI package (developed in RGtk2), as well as the course author's provided VIMGUI toolbar application (also developed in RGtk2) may have some problems starting up properly on a Mac computer. So if you only have a Mac available to you, you may have some initial difficulties getting the applications to run properly."
Price: 49.99  |
| "Comprehensive Linear Modeling with R" |
| "Comprehensive Linear Modeling with R provides a wide overview of numerous contemporary linear and non-linear modeling approaches for the analysis of research data. These include basic, conditional and simultaneous inference techniques; analysis of variance (ANOVA); linear regression; survival analysis; generalized linear models (GLMs); parametric and non-parametric smoothers and generalized additive models (GAMs); longitudinal and mixed-effects, split-plot and other nested model designs. The course showcases the use of R Commander in performing these tasks. R Commander is a popular GUI-based ""front-end"" to the broad range of embedded statistical functionality in R software. R Commander is an 'SPSS-like' GUI that enables the implementation of a large variety of statistical and graphical techniques using both menus and scripts. Please note that the R Commander GUI is written in the RGtk2 R-specific visual language (based on GTK+) which is known to have problems running on a Mac computer.The course progresses through dozens of statistical techniques by first explaining the concepts and then demonstrating the use of each with concrete examples based on actual studies and research data. Beginning with a quick overview of different graphical plotting techniques, the course then reviews basic approaches to establish inference and conditional inference, followed by a review of analysis of variance (ANOVA). The course then progresses through linear regression and a section on validating linear models. Then generalized linear modeling (GLM) is explained and demonstrated with numerous examples. Also included are sections explaining and demonstrating linear and non-linear models for survival analysis, smoothers and generalized additive models (GAMs), longitudinal models with and without generalized estimating equations (GEE), mixed-effects, split-plot, and nested designs. Also included are detailed examples and explanations of validating linear models using various graphical displays, as well as comparing alternative models to choose the 'best' model. The course concludes with a section on the special considerations and techniques for establishing simultaneous inference in the linear modeling domain.The rather long course aims for complete coverage of linear (and some non-linear) modeling approaches using R and is suitable for beginning, intermediate and advanced R users who seek to refine these skills. These candidates would include graduate students and/or quantitative and/or data-analytic professionals who perform linear (and non-linear) modeling as part of their professional duties."
Price: 94.99  |
| "Linear Regression, GLMs and GAMs with R" |
| "Linear Regression, GLMs and GAMs with R demonstrates how to use R to extend the basic assumptions and constraints of linear regression to specify, model, and interpret the results of generalized linear (GLMs) and generalized additive (GAMs) models. The course demonstrates the estimation of GLMs and GAMs by working through a series of practical examples from the book Generalized Additive Models: An Introduction with R by Simon N. Wood (Chapman & Hall/CRC Texts in Statistical Science, 2006). Linear statistical models have a univariate response modeled as a linear function of predictor variables and a zero mean random error term. The assumption of linearity is a critical (and limiting) characteristic. Generalized linear models (GLMs) relax this assumption of linearity. They permit the expected value of the response variable to be a smoothed (e.g. non-linear) monotonic function of the linear predictors. GLMs also relax the assumption that the response variable is normally distributed by allowing for many distributions (e.g. normal, poisson, binomial, log-linear, etc.). Generalized additive models (GAMs) are extensions of GLMs. GAMs allow for the estimation of regression coefficients that take the form of non-parametric smoothers. Nonparametric smoothers like lowess (locally weighted scatterplot smoothing) fit a smooth curve to data using localized subsets of the data. This course provides an overview of modeling GLMs and GAMs using R. GLMs, and especially GAMs, have evolved into standard statistical methodologies of considerable flexibility. The course addresses recent approaches to modeling, estimating and interpreting GAMs. The focus of the course is on modeling and interpreting GLMs and especially GAMs with R. Use of the freely available R software illustrates the practicalities of linear, generalized linear, and generalized additive models."
Price: 74.99  |
| "Comprehensive Graphics Visualizations with R" |
| "Comprehensive Graphics with R is a thorough, comprehensive overview of each of three major graphics approaches in R: base, lattice, and ggplot. The course also demonstrates the use of the R Commander interface to create a variety of 2D and 3D graphics. Most of the course is engaged in live, ""hands-on"" demonstrations of creating a wide range of 2D and 3D plots and graphs using extensive scripts and data sets, all provided with the course materials. Adequate documentation including slides, exercises and exercise solutions are also provided. The course demonstrates (and uses) two of the most popular front-ends to the R Console: R Commander and RStudio. We begin by exploring the range of graphics output available using both the R Commander and RStudio GUI interfaces to the R Console. The course then follows with a more in-depth examination of the graphics capabilities for each of the three main graphics systems, base, lattice, and ggplot.This course is a must see for anyone who will use R and wishes to get the most out of the stunning variety of graphical charts, plots, and even animations that are available. The R software was designed from the outset to be particularly strong in visualization and graphical capabilities. However, if you are unaware of the full range of these capabilities you are missing opportunities to apply this wide variety of rich, powerful graphics to your own work and research projects. Accordingly, this course is specifically designed to comprehensively demonstrate and explain the broad range of graphical outputs that are available with R."
Price: 94.99  |
| """Hands-On"" PLS Path Modeling with SmartPLS 2.0" |
| "Hands-On PLS Path Modelingwith SmartPLSis an 8-sessioncourse that provides extensive, detailed knowledge about how to use SmartPLS 2.0 software andhow to interpret the extensiveoutputted information. Participants learn the mechanics of performing a variety of tasks associated with PLS path modeling ""from the ground up"" and are provided with comprehensive examplesof how to model, interpret, and reportvarious PLS path modeling scenariosestimated using SmartPLS 2.0 software. Thesepath modeling scenarios include formative, reflective, second-order, mediating, moderating, group differences, second orderand heterogeneous examples.Thiscourse provides detailed instruction on the use of the currently available (and free)SmartPLS 2.0 software to perform PLS path modeling. Thecourse provides detailed explanations of the computational processes of the PLS algorithm, bootstrapping, and blindfolding. ""Hands-On""demonstrates live, on-screen demonstrations of the various features and functions of SmartPLS 2.0 software. It is intended for graduate students, faculty and other researchers who seek explicit and comprehensive explanations and demonstrations of the use of all of the features, functions, and output reports in SmartPLS 2.0 software. Take-home exercises are provided at the end ofmany sessionsto reinforce thehighlighted material. Solutionsto these exercises aretypically reviewed at the beginning of the subsequent session.SmartPLS 2.0 outputs prolific information and data in the four algorithms ""default reports"". Thecourse address the questions: What does all of the information and data in these four default reports mean? How is the default reports data interpreted? What are the formative-reflective construct distinctions in the outputted data? Which information does one need to report in submitted manuscripts and papers? How can the non-reported data be reused in subsequent analyses? What can one determine about: direct, indirect, and total effects? Group differences? Second-order constructs?Path coefficients, weights and loadings? Latent variable scores or values? Predictive levels of variance explained in the endogenous latent variables?Everything is provided with this course . . . all slides, PLS models, software, exercises and solutions . . . anything you see in any of the course videos is included. If you use and/or practice PLSpath modeling, and especially ifyou use SmartPLS2.0 path modeling software, you will likely find this course to be useful to your purposes."
Price: 49.99  |
| "Practical Foundations of R Programming" |
| "Practical Foundations of R Programming is the first courseof a learning path that teaches critical foundationskills necessary to create quality code using the free and open-access R programming language. This course, and the courses that follow,are useful for both beginner and intermediate R programmers who want to understand the unique features of R and why ""Rworks the way it does."" I have been using, teaching, and writing applications in R for 6 years and have come to appreciate that R is a beautiful and elegant language that is especially well-suited for writing applications for data analytics, and formathematical and statistical applications. Furthermore, R is superior in terms of inherentgraphical data presentationcapabilities that go hand-in-hand with exploring and understanding data relationships.Most introductory R courses, those that do not directly address sharpening one's R programming skills, first teach the important R data structures, then the basics of R functions, and generallythe use of base R graphics capabilities. However, these introductory Rcourses are not targeted at the R programmer population, but rather at the general R user population. This course, Practical Foundations of R Programming,whichcontains all-unique material compared to my other Udemy R courses, addresses R data structures, R subsetting, and R functions, but from the focused perspective of someone who intends to write efficient higher-level applications using R. It is specifically intended to teach the most important foundation concepts and features of the R programming language which are necessary to understand to write efficient and effective applications in R.This course, which is exclusively ""hands-on,"" demonstrates the construction and use of R code within the RStudio IDE, andfocuseson the unique features of R thatcan make writing applications in R both a challenge and a delight. The course does not present a single power point slide and relies heavily on userexercises. In each of the three major sections of the course, (1) data structures, (2) subsetting, and (3) functions,there are multiple sets of within-section exercises, as well as a final end-of-section exercise set. Participants are encouraged to complete each set of exercises ""on their own"" before they view the videos that present the exercisesolutions. All course videos, and all exercises, as well as their solutions, are presented within R scripts that are made accessible with the course materials. Anything and everything that you see me demonstrate and/or discuss in the 100+ course videos are available foryou todownload atthe beginning of the course.The second course in this learning path, which should be available to you by the time you complete this first course, will delve more deeply into functional programming in R per se.The second coursewill have a similar format to this first course: all ""hands-on"" with extensive use of practical and relevant in-section, and end-of-section, exercises."
Price: 94.99  |
| "PLS Path Modeling with the semPLS and PLSPM Packages in R" |
| "The course PLS Path Modeling with thesemPLS and PLSPMpackages in Rdemonstrates the major capabilities and functions of the R semPLS package; and the major capabilities and functions of the R PLSPM package.Although the semPLS and plspm R packages use the same PLS algorithm as does SmartPLS, and consequently produce identical PLS model estimates (in almost all cases with a few exceptions), each of the two R packages also contains additional, useful, complementary functions and capabilities. Specifically, semPLS has some interesting plots and graphs of PLS path model estimates and also converts your model to run in covariance-based R functions (which is quite handy!). On the other hand, the PLSPM package has very complete and well-formatted PLS output that is consistent with the tables and reports required for publication, and also has very useful and unique multigroup-moderation analysis capabilities, and a unique REBUS-PLS function for discovering heterogeneity (more multi-group differences). If you are interested in knowing a lot about PLS path modeling, it is certainly a good use of your time to become familiar with both the semPLS and PLSPM packages in R."
Price: 49.99  |
| "The Comprehensive Statistics and Data Science with R Course" |
| "This course, The Comprehensive Statistics and Data Science with RCourse,is mostlybased on the authoritative documentation in the online ""An Introduction to R"" manual produced with each new R release by the Comprehensive R Archive Network (CRAN) development core team. These are the people who actually write, test, produce and release the R code to the general public by way of the CRAN mirrors. It is a rich and detailed10-session course which covers much of the content in thecontemporary 105-page CRAN manual. Theten sessions follow the outline in the An Introduction to R online manual and specifically instruct with respect to the following user topics:1. Introduction to R; Inputting data into R2. Simple manipulation of numbers and vectors3. Objects, their modes and attributes4. Arrays and matrices5. Lists and data frames6. Writing user-defined functions7. Working with R as a statistical environment8. Statistical models and formulae; ANOVAand regression9. GLMs and GAMs10. Creating statistical and other visualizations with RIt is a comprehensive and decidedly ""hands-on"" course. You are taught how to actually use R and R script to create everything that you see on-screen in the course videos. Everything is included with the course materials: all software; slides; R scripts; data sets; exercises and solutions; in fact, everything that you see utilized in any of the 200+ course videos are includedwith the downloadablecourse materials.The course is structured for both the novice R user, as well as for the more experienced R user who seeks a refresher course in the benefits, tools and capabilities that exist in R as a software suite appropriate for statistical analysis and manipulation. The first half of the course is suited for novice R users and guides one through ""hands-on"" practice to master the input and output of data, as well as all of themajor and important objects and data structures that are used within the R environment. The second half of the course is a detailed ""hands-on"" transcript for using R for statistical analysis including detaileddata-driven examples ofANOVA, regression, and generalized linear and additive models. Finally, the course concludes with a multitude of ""hands-on"" instructional videos on how to create elegant and elaborate statistical (and other) graphics visualizations using both the base and gglot visualization packages in R.The course is veryuseful for any quantitative analysis professional who wishes to ""come up to speed"" on the use of R quickly. It would also be useful for any graduate student or college or university faculty member who also seeks to master these data analysis skills using the popular R package."
Price: 174.99  |
| "PLS Path Modeling with the Desktop PLS-GUI Application" |
| "PLSPath Modeling with the Desktop PLS-GUI Application is a course that both teaches about the practice of variance-based structural equation modeling (SEM), sometimes referred to as PLS Path Modeling, and is a course that provides a beta application, the desktop PLS-GUI, to do so. The PLS-GUI application was developedusingthe visual RGtk2 programming language in R software. RGtk2 is the R-based GUI language extensionderived from the publicGTK+ (GIMPTool Kit) language.The PLS-GUI desktop application was jointly developed by Dr. Geoffrey Hubona and Dean Lim, both of whom are co-instructors of this course.Course participants are encouraged to use the included PLS-GUI desktop application with their own data and PLS model files. Pleasenote that this was a beta version application which is no longer directly supported by our staff. So, while we are limited in our ability toprovide fixes or solutions to use-relatedissues which may arise installing orusing the application, we are happy to answer any and all questions relevant to the course content per se.We include three beta versions of the desktop PLS-GUI application: one from March 2014;another from September 2014;and the last version dated December 2014. However, the video lessons in this course are specific to the March 2014 PLS-GUI application version only.It is advantageous to know something about PLSpath modeling before you take this course. If you are brand new to PLSpath modeling, you might also considerenrolling in the free Udemy course Conceptual Foundations of PLSPath Modeling.We include all of the materials seen in the course videos: data files and PLS model and project files. If you note any materials that aremissing please bring it to our attention.Anyone who is involved with PLSpath modeling would benefit, learn something new, by taking this course. This includes graduate students, faculty, and other practitioners who deal with variance-based SEM tools for a living."
Price: 29.99  |
| "Resultados inmediatos = proyectos exitosos" |
| "Te has preguntado cmo lograr el xito de un proyecto? Necesitas que los resultados de tus esfuerzos se concreten rpidamente? Has sentido que haces malabares entre tantas tareas, compromisos, reuniones y tiempos de entrega de tus proyectos?Acompanos en el curso Resultados inmediatos = Proyectos exitosos y sorprndete con un modo eficiente y organizado de realizar tus proyectos! Sumrgete en el fascinante mundo de la Administracin de Proyectos y conoce las estrategias para dirigir tus esfuerzos hacia el logro de experiencias y proyectos exitosos.Nuestra Oficina de Proyectos es dirigida por la Lic. Graciela Brcenas P., quien actualmente ocupa tambin la Presidencia del Project Management Institute Captulo Mxico. Con el apoyo de nuestra oficina de proyectos, hemos creado para ti este curso que presenta giles sesiones de video y tiles recursos que podrs descargar para que inicies la gestin exitosa de tus proyectos. Con este curso comprenders las responsabilidades y competencias de un Administrador de Proyectos y contars con guas de referencia para crear documentacin crtica como el Acta de Constitucin del Proyecto y el Plan para la Direccin del Proyecto. Tambin comprenders los retos que enfrenta todo proyecto y contars con recursos para el logro de proyectos exitosos, como job aids para gestionar a los interesados, para un inicio de proyecto satisfactorio y para minimizar el nmero de cambios en tus proyectos. Dentro de las lecciones encontrars ejercicios para comprobar lo que has aprendido y resmenes que podrs consultar para sintetizar las ideas ms importantes.Inscrbete ahora y estudia desde cualquier lugar y a tu propio ritmo, con un acceso ilimitado para que puedas llevar tu aprendizaje al siguiente nivel!"
Price: 19.99  |
| "Build a HTML5 Business Web Application" |
| "This course is geared for people who want to learn a little more about building web applications that have a business slant to them. Although there is some coding involved to get the budget sliders to work, you don't need a programming or a business background to create these projects. The content is explained in a very simple way.It will take about three hours to complete this course. There is no material that you need to download as you will create everything you need from scratch! You will access two online resources.This course starts out by first looking at the completed project. We then take a planned and methodical process to build one small step at a time. The lessons typically are short and you'll see yourself building momentum as you quickly progress through these lessons.This course is geared for people who would want to start to add interactivity to their sites. Rather than having just pictures, text and links, you can now start to build an interface that engages visitors. So if you're interested in learning how to create some neat interactions that has a bit of a business approach to it, this is the course for you.At the end, you will have a fully functioning HTML5 website that you can populate with your own content."
Price: 29.99  |
| "Learn to Create Pixel Art for your Games" |
| "This course teaches the basics for creating video game pixel art. Students will learn about shapes, values, edges, color theory, creating a basic palette, and animation.If you are new to art or pixel art and want to create better art for your indie games then this course is for you.It will take roughly 8 hours to complete this course.This course contains step by step video lectures, quizzes for important section information, and challenges to help students improve their pixel art outside of the video lectures. Practice is key in art and you will get a good amount of practice as you complete this course.This course will strengthen your foundations in art and pixel art. It will build your confidence in your art and give you the information you need to continue improving your pixel art even after completing the course."
Price: 49.99  |
| "The Ultimate Oracle SQL Course: SQL Made Practical" |
| "* Covers Oracle 11g, Oracle 12c, Oracle 18c, and Oracle 19cOracle is currently the most popular relational database management system in the world. It is used by thousands of big companies who are usually willing to pay good salaries to the right people, which includes those with practical Oracle SQL knowledge that is based on best practices and experience. Most SQL courses give you theoretical SQL knowledge. In this course, you will learn by actually writing code.In spite of what you might have heard, relational databases are not going away anytime soon, and the demand for good Oracle SQL developers will continue on the rise.Learn Oracle SQL in a practical and smart way and jump-start your career as an Oracle SQL developer:Understand the most basic concepts about relational databases and Oracle.Get comfortable writing code using Oracle SQL Developer.Learn how to read, filter, and sort information from database tables.Learn how to use comparison, logical, set, and other types of operators in Oracle SQL.Learn how to use numeric, text, date, conversion, aggregate, analytic, and other types of Oracle SQL functions.Learn how to add, modify, and delete information from Oracle databases using SQL.Learn how to use SQL to create and use tables, constraints, sequences, indexes, and views.Learn all SQL basics plus intermediate and advanced features and techniques.Get tips and knowledge that is usually only learned through years of SQL experience.Much more.Oracle implementation of SQL is very powerful. Learn it and use it smartly and stand out from the crowd.I created this course because although there are many courses about Oracle SQL available on different platforms and in different formats, most of them, if not all, focus too much on telling or demonstrating how to do things, but dont give you, as a student, the opportunity to test and practice what is being taught. Some of them tell you to practice or to do things along with the instructor, but unfortunately, such an approach doesnt really work. Seeing how things are done or just copying or repeating what you see on the screen is not going to help you learn SQL. You might feel that you are learning, but when the time comes for you to write a command on your own, you are most likely not going to feel very confident.In addition to that, most SQL courses, if not all, teach you the same kind of content you would find in a textbook, but, what about those things that are not part of the official curriculum and are only learned through experience?Here you will learn much more than just SQL basics.The goal of this course is to help you learn Oracle SQL in a way that can make you stand out from the crowd. I really want you to learn and shine, and at the same time contribute with my grain of sand to bring more talented people to the IT industry. I want to help you become a standout Oracle SQL developer.Content and Overview:This course was designed with beginners in mind, but if you have some previous SQL knowledge you will still learn a lot. After setting the learning environment, it starts with the most basic concepts about databases in general and a very short introduction to Oracle and the SQL language.You will start learning about the simplest SQL statements and before you even notice it, you will have covered all the SQL basics and will be gradually progressing to more advanced concepts.The course includes several topics that some people, including experienced developers and other instructors, consider advanced, such as Analytic Functions, Hierarchical Queries, Pivot and Unpivot features, and many more.It does not include demonstration lectures because the whole course is a coding demonstration. In 90% of the video lectures, you will be watching my computer screen while I type, explain, and run Oracle SQL code.It does not include labs at the end of each section because practically every lesson has a coding task for you to practice what you are learning.Please note that PL/SQL (Oracle's procedural language) is not covered in this course. You are hiring me to teach you Oracle SQL, and that is what I am going to do, and I will do my best to help you learn in a way that can really make you stand out from the crowd of thousands of people who start learning SQL every day.I will not only teach you SQL. I will share my years of Oracle experience with you through what I call experience tips. Those tips can really help you differentiate.Oracle SQL is very powerful, and you are about to start learning it!You could be being seen as an experienced and knowledgeable SQL developer by your friends, peers, and potential employers in a very short time, but you have to take action. If you want my help, youve got it."
Price: 199.99  |
| "How To Get Out Of Debt - Your Debt Free Journey Starts Today" |
| "UPDATES: Over 580 students enrolled in this course in less than 3 days.Course updated as of June 2015.Are you becoming more and more frustrated because of the amount of debt that you have to deal with on a monthly basis? This course is a beginner level course for persons who may simply be feeling overwhelmed by debt and feel that there is no way out. It was designed to be very simple in its delivery so that it is easily understood. Included are videos, text documents and pdfs that will enhance each of the lectures being presented. It will take you some time to go through the video lectures in addition to time required in order to complete the review exercises (This time will vary according to each student). This course will get the student on the right track to beginning their journey to getting rid of their debts. Once the reality of one's current position is accepted and there is a willingness to work at it each day, then the dream of becoming debt free can become a reality."
Price: 44.99  |
| "Curso de guitarra para principiantes." |
| "En este curso aprenders las tcnicas bsicas para poder tocar la guitarra.Se practicarn diversos ejercicios de dedos que permitirn al alumno aprender a colocar los dedos de sendas manos y adquirir soltura.Tambin se aprender el ritmo de rumba (bsico) y por ltimo se estudiar y aprender el tema La Caja de msica en dos partes.A lo largo del curso se facilitar el material necesario para su realizacin.Tras cada videotutorial debern practicar los ejercicios propuestos durante, al menos 10 minutos diarios.Al terminar este curso estarn en disposicin de realizar otro de nivel ms avanzado.Si has intentado aprender a tocar la guitarra sin conseguirlo, esta vez si lo conseguirs.Apuntate ya!! ESTE ES TU CURSO!!!!!!!!!!!!"
Price: 19.99  |
| "Study Less, Achieve More - Untold Secrets from Inner Circle" |
| "This course is for anyone that is looking to take their academics to the next level. These are hacks that have taken years to cultivate but minutes to implement. You will see school as something that can be enjoyable and fun. It is a game that you will WIN! I have included great videos that really articulate what kind of student you should be. The course will take a couple days to really soak in the material but for the over achievers it can completed in an afternoon. Section 1: Introduction to the CourseIn this video section I will dive into what this course is all about, why I created it, and why I am qualified to teach it. I understand that I have a gift and gifts need to be shared.Section 2: How to Network in your classes: The Key to Unlocking Your Unlimited PotentialThis lecture is a video lecture with the premise that two heads are better than one. You can rapidly increase your success with the help of others. In these video lectures I will go over the best practices to identify the people you should and should NOT associate yourselves with in the classroom. You will learn tips to make friends easily and keep that connection alive via a mobile app. This is the equivalent of having a group of people in your corner urging you to finish your assignments. It acts as a personal assistant that reminds you when your assignments are due and also an extended resource outside of the classroom. When you go into this will a pure heart people will recognize that and want to help you succeed. You will also help others succeed as well. This is a WIN-WIN relationship that you can cultivate for a lifetime!Section 3: The Magic Piece of Paper You Severely Overlook and Office HoursIn this screen recording you will get to have the opportunity to see what I do before day 1 to make sure I don't lose any points for assignments and to get notification when tests are coming up. I take you step-by-step and show you the framework that I, and soon to be others, will be using to make class a breeze! The other lecture talks about how to utilize a teachers office hours to get insider information that other students simply don't have. Also to put your teacher in your corner even in a 300+ person class. Section 4: The Art of Efficient StudyingIn this screen recording and document I will show you how to cut your studying time into a fourth of what you used to study. You will find this section humorous because you probably studied like I used to. You will also see how to pick your study spot and how to organize your class binders to NEVER lose anything again!Section 5: Course Wrap-Up and Things to RememberHere is where I wrap-up the course and give you a road map to remind you everything that you have learned and the best way to implement it. I also show you how to get personal consulting via Skype for a little extra kick of confidence!Section 6: Exclusive Bonus ContentIn the first lecture I show you how to get most books free. School is expensive enough as it is and books can sometimes send people over the edge. I show you my step-by-step method on finding practically any book for free. Many people want the feeling of a book so they buy one and if you do that and find the bookstore is not giving you much money when you return it then this section is for you. I will show you the better way to return your books to get a bigger return on investment. In the last lecture of this course I show you my secret sauce for my success."
Price: 19.99  |
| "Scrivener 3: NEW FEATURE Using Multiple Projects in Tabs" |
| "You can do a lot with just one Scrivener Project--especially with Scrivener 3s new and enhanced features; but using multiple Scrivener Projects at one time can turbocharge its power and flexibility. In this course, you will learn:How and why to use multiple Scrivener project filesUse multiple Scrivener project files in tabsFloat Scrivener project files and Quick Reference PanelsWork in Full Screen ModeUse Quick Reference Panels from multiple Projects at onceMove document files, folders and images from one project to anotherMove text excerpts from one project to anotherUse two Scrivener Projects in Compose modeUse two screens in Compose mode for truly distraction free writingUse two screens in Compose mode with one Scrivener Project"
Price: 99.99  |
| "Code & Grow Rich: Earn More As An Entrepreneur Or Developer" |
| "----------------------------------------------------------------------------------------------------------------*Feb 16th 2016*Over 3100 student enrollments within the first four days of course launch!Now with over 57 hours of video content and 500+ pages of curated resources!11 discrete income producing trajectories!Over 100 real-world mock interactions (phone calls and email templates)! Code & Grow Rich is a comprehensive course that empowers both non-technical entrepreneurs and software developers with the skills to succeed in today's techno-centric business world. -----------------------------------------------------------------------------------------------------------------Code & Grow Rich will teach you how to meld technology and entrepreneurship to increase your earnings- IT WON'T TEACH YOU HOW TO CODE. This course DOES NOT OFFER a 50,000-foot overview of archaic and disjointed pseudo-business-tomfoolery already covered ad nauseam by YouTube and Google. This course ALSO DOESN'T promote any get-rich-quick type of theology for the short-sighted or lazy-minded hucksters. Code & Grow Rich is a role-up-your sleeves, ACTIONABLE, and HYPER-RELEVANT framework which will enable you to effectively navigate today's entrepreneurial climate using technology as the building blocks for all of your ventures. HERE ARE THE OVERRIDING COURSE GOALS: Assist you in Accelerating and Amplifying the Precision in which you bring startup ideas to life by seamlessly interweaving technology and entrepreneurship Assist you in maximizing your earnings Per Every Minute of Work by melding technology and entrepreneurship Assist you in maximizing your earnings Per Every Unit of Effort by melding technology and entrepreneurship Provide you with Multiple Earning Trajectories If you are brand-spanking new to the world of entrepreneurship and technology- no es un problemo- we'll get you up to speed with over 200+ income producing tactics.In another vein, If you are an experienced programmer that is dissatisfied working for the man in a 9-5 capacity, then you've likewise lucked out.This course is uber-targeted to help you create multiple forms of Sustainable, Recurring, & Minimally Invasive Passive Income through the confluence of technology and business.Lastly, If you are an experienced serial entrepreneur, we'll show you how to utilize technology for your next startup idea and instruct you, in fine detail, how to efficiently scale your ideas from conception to virality.Module 1: Zero-To-Viral Techno-Centric Startup Multiplier FoundationThis section is designed to teach you to THINK and EXECUTE like a technopreneur. The foundation lectures will show you how to: Design a customized business trajectory based on your specific goals as a startup maven. Understand how technology, relationships, and entrepreneurship dovetail together to impact your future earnings. Optimize and objectively evaluate your communication style, level of emotional independence, and even the words that you use when interacting with prospects, clients, partners, contractors, and co-workers.Learn how to successfully integrate, apply, and adapt core business and user growth strategies to bring your startup, software, and mobile applications to life. Module 2: Build Your Own Techno-Centric Software Startup This Section Extends and Applies What We Learned In The First Section of the Zero-Viral Module - Develop & Monetize Your Own Software: Web Apps, Enterprise Software, SaaS Software, Embedded Apps, Mobile Apps, Cloud Software, and Video Games. For those looking to create, market, sell, and monetize your own software and mobile applications, we'll give you a step-by-step process in how to do so. Specifically well cover:Mobile Applications Web applications Software as service applications Enterprise applications Embedded applications Cloud Software Video Games Module 3: Client Acquisition & Management Building An Integrated Client Management Agency (this module is ginormous) Looking to land better clients, larger clients, or more clients as a solo-practitioner?Looking to reduce the time and effort it takes to manage each account? Looking to drastically increase your compensation for each and every project you work on?Looking to potentially scale up your one-man operation to become a full-service, integrated software development agency?Looking to increase your value by integrating more proficiencies into your client management mix? This course will give you ALL the tools and know-how to identify, attract, acquire, manage, retain, and scale your client management operation. Module 4: Creating ""Fast-Twitch"" / Minimally Invasive Income StreamsMinimally Invasive Recurring Income are earnings that require a minimal amount of monthly upkeep but keep going like the Energizer Bunny. We'll guide you on integrating more technologies, more platforms, and more strategy to help you stabilize and grow your earnings as a technopreneur. Youll be able to create over 15+ passive/complementary income streams that technopreneurs can exploit right now to complement their earnings.Module 5: Generate An Absurdly High Income As A Software ConsultantYou'll earn more as a software consultant by:Targeting the ideal clients and projects Positioning and differentiating yourself as the singular go-to industry expert Pilfering full-time positions Module 6: Make Even More Money As An Ethical/White-Hat Hacker (Cyber Security Expert) Cyber-Security Expert White-Hat HackerFor the unconventional problem solvers out there well show you the optimal ethical hacker and quality assurance paths to higher earnings.Earn more by: Identifying and pitching the right cyber security and prospectsHow to sell vulnerabilities, cryptography, or create your own or security software Focus on the optimal pain points and facts to get you more dealsHow to sell yourself without having a world of experienceThe best tools to utilize to automate your security auditsModule 7: Create Additional Sources of Income by Integrating Software and Hardware Learn to apply and monetize your coding skills with Arduino and Raspberry Pi platforms. Earn more by:Quickly getting up to speed with Arduino & Raspberry Pi basics.Learning which products make money, and which tend to fail. Uncovering the most profitable niches to attack. Identifying, qualifying, and negotiating with a hardware manufacturer.Discovering key differences between Raspberry Pi & Arduino money making trajectories.Module 8: Successfully Maneuver Your Way to Your IDEAL Full-Time Job & Maximize Your Compensation Package - Sell out to ""The-Man"" with a smileFor those intrapreneurs that are more comfortable sticking with full-time employment, we'll show you how to increase your compensation and value by merging techno-centric proficiencies and platforms into your current role.If you are fed up with your current job, and are looking to upgrade to a new, higher paying position, we'll assist you in hacking the job search process and show you how to best position yourself for the top-paying roles. Well provide you with a full array of negotiating strategies to maximize your aggregate compensation package. Remember, you will also have the freedom to continue working 9-5 while you utilize techniques from this course to generate additional passive income- you dont need to quit your job in order to implement our strategies. How to position yourself as an integrated problem solver.How to best align your online assets (portfolio, blog, case studies) to maximize your perceived value. How to refine the way you interact and communicate to demonstrate even more value. The right way to ask for a raise. Module 9: Generate Side Income by becoming a PASSIVE Technology Instructor Make More Money As A Technology Instructor. In one of the funner parts of this course we'll show you how to generate even more PASSIVE income by creating and selling your own technology courses online and in the real world. Some technology instructors that upload their little classes to the interwebs make over a million bucks a year- we'll show you how. We'll even show you how to transition your courses into a full-fledged coding school. Youll earn more money by learning:Which platforms to launch your course on Which instructors make the most coin and why What niches are the most profitable Timing your course launch Using kickstarter, facebook, adwords, twitter, bloggers, and journalists to ignite pre-launch virality Optimal pricing strategies for your courses How to grow an audience and upsell students The 4 tenets of an extraordinary learning experience How to best create disruptive educational value Critical student data to track Perpetual vs. discrete student growth tactics The best equipment to use when creating your coursesPartnerships, bundling, & co-creating coursesModule 10: Blend Coding, Creativity, and Marketing Savvy to become a Growth Hacker - Use Growth Hacking Techniques to Quickly Scale Your Ideas For those with an affinity towards technology & marketing - we'll show you how to land high paying gigs as a much sought-after growth hacker.Youll earn more as a growth hacker by understanding: Why a growth hacking skillset is in such high demandGrowth hacking misconceptionsHow to best interweave creativity, marketing, data, and technologyHow to use growth hacking techniques to scale your startupHow to use growth hacking strategies to expedite product viralityHow to use growth hacking to increase industry buzzThe 5-Stages & 8-Steps to growth hacking successHow to create growth hacks of your ownHow to micro-test to validate your hacksHow growth hacking in practice (Dropbox, AirBnB, Linkedin, Slack) can create a massive user baseHow to land or poach growth hacking gigsHow to best interact as a growth hackerModule 11: Insulating Yourself From Obsolescence Investing in Your Future We'll give you both the tools and understanding to best arm and protect you from changes in technology. Youll be able to position yourself for maximum future earnings as technology continues to evolve. You'll learn: Which technologies and platforms are trending now What is the world of technology evolving towards How and where to bet on your future How user-focus will continue to drive growth========================================================================How this course will help you to achieve your goals:Heavy emphasis on ACTIONABLE INITIATIVES to go along with the conceptual learning. Not a lot of pie-in-the-sky philosophy, you will be able to put your learning into IMMEDIATE MOTION.YOU'll ALSO BE LEARNING FASTER:This course will have extremely limited anecdotal fodder. I will not drown you in long-winded, irrelevant narrative.Course information is presented through distinct learning tracks. These tracks are based on your specific starting point and goals as a developer or agency. You will be able to efficiently ingest the information that you find most important for your future.Critical information in both lectures and sections are delivered and summarized in speed-learning ""hack"" sections. Hack sections will allow you to bypass the granular details if you are absolutely pressed for time.========================================================================Who Should Take This Course?Code & Grow Rich provides the most value for these eight audiences, before wasting any time and money by purchasing this course, make sure you fall within at least one of these categories:1) Both Non-Technical Entrepreneurs & Techno-Savvy Startup Junkies Both new and experienced ENTREPRENEURS, STARTUP JUNKIES, & NON-TECHNICAL INDIVIDUALS, who want to fully understand how to best harness and integrate technology to make a killing developing and scaling their own businesses. For entrepreneurs, youll be provided with both a complete technical foundation as well as the optimal trajectory to successfully create and scale ALL of your future business ideas. You wont just understand more about software, you will ACTIVELY BE ABLE to FRAME technology as the centerpiece of your next startup launches. If you are an entrepreneur that absolutely refuses to ever touch a line of code, well show you the best ways to nurture your ideas by utilizing automated software development tools or by partnering up with current software developers. 2) Both Newbie Coders & Experienced Programmers This course infuses programmers with ENTREPRENEURIAL KNOW-HOW and an ACTIONABLE GAME-PLAN to dominate any business niche or grow a client-management software agency- programmers will learn how to weave technical concepts together with marketing, sales, growth-hacking, psychology, effective communication, and strategy to out-pace, out-smart, and out-maneuver the competition to turn their techno-centric ideas into profitable businesses. Brand new Coders and experienced SOFTWARE PROGRAMMERS / WEB & MOBILE APP DEVELOPERS / SOFTWARE ENGINEERS / FREELANCE DEVELOPERS who want to better utilize their technological curiosity and expertise to make Minimally Invasive Passive Income (income which only requires a limited amount of hand-holding and upkeep) will be shown the blueprint to do so. 3) 9-5 Workers Looking For More Career Enhancers & Intrapreneurs Career Switchers If you feel under-appreciated, under-utilized, micro-managed, under-paid or just plain unfulfilled in your 9-5 work, this course will empower you to level-up and land a better, more lucrative and fulfilling technology focused position.If you are not sold on your current career and are looking to explore new paths centered around technology and software, this course will provide you with a hands-on foundation to successfully transition to almost ANY techno-centric field. If you are looking to add more value to your existing position or company by adding proficiencies with new platforms, technologies, this course will enable you to do so. 4) Current Students If you are a technically oriented computer science, information technology, or business administration student looking to find an effective way to pay off your student loans WHILE STILL IN SCHOOL, well show you how to do so. If you are a non-technical or business major- liberal arts, philosophy, architecture (it doesnt really matter) we will show you how to break into the startup world and launch your own businesses without any preexisting technical expertise. If you are dreaming of becoming the next Evan Spiegel or Mark Zuckerberg then youll find this course immensely relevant.5) Underachievers That Have Failed To Launch Full-Time Netflix/Game of Thrones Addicts. If you are: 35 years-old and still living in your parents basement (lights out at 10:30 PM)Cleaning up monkey dung at the town zoo Spending more time playing Grand Theft Auto & Halo than sleeping6) Introverts or The Socially ChallengedIf you've ever been described as shy or a nerd/geek and fear that entrepreneurship is just not for you, we'll show you how to best break out of that shell so you can get transacting. This course includes over 100 mock phone and email interactions to guide you on the best ways to develop relationships with your peers, clients, co-workers, and partners.7) The Highly Motivated That Lack The Raw Business Ideas/Concepts Even if you don't have any new business ideas whatsoever well provide you with over a dozen techno-centric concepts that are just waiting to be brought to life. 8) Parents (makes a ridiculously good gift for the entrepreneur or developer in your family) If jr. or jr. miss is still wavering about a career choice or if the thought of your child saddling themselves with massive college loans is unappealing, this course is the perfect opportunity to invest in something that will actually have a practical impact on your childs financial future.========================================================================So, sign up now, and I'll see you on the inside!"
Price: 199.99  |
