| "Project Management MicroMasters Capstone Exam" |
| "The capstone exam includes the evaluation of the competencies and performance tasks, which define a successful project manager. The capstone exam is the culminating component of the RITx Project Management MicroMasters program that is designed to provide you with the in-depth knowledge and skills needed to be a successful project manager in any industry. In order to qualify for the Project Management MicroMasters credential, you will need to earn a verified certificate in each of the three RITx Project Management MicroMasters courses and pass the verified capstone exam. The capstone exam will test knowledge across all three MicroMasters courses, so it is strongly recommended you complete PM9001x, PM9002x, and PM9003x prior to participating in this exam. It will be a webcam proctored timed exam and will feature problems similar to the graded assignments in the different modules as well as some writing."
Price: 450.00  |
| "Natural Resources for Sustainable Development" |
| "Natural resources represent a potentially transformational opportunity to support development but are ultimately finite How do we make the most of them without destroying the planet? In this 12-week course, produced by the Natural Resource Governance Institute, the Columbia Center on Sustainable Investment and the World Bank, learn about efforts to sustainably manage extractive industry investments. You will come to understand the complex and interwoven aspects of natural resource governance and become part of a global movement of citizens and practitioners committed to harnessing the transformational impacts of our natural resources. This course is for: Sustainable development practitioners – as well as private-sector actors, such as those who work in corporate sustainability and responsibility or renewable energy – who need a historical context of the extractives industry and its evolution Extractive practitioners, such as those who work in oil, gas and mining, who are interested in making the field more sustainable Graduate students and advanced undergraduate students studying extractives, environmental science, environmental law, sustainable development, sustainable business and related fields Climate change activists or practitioners looking to understand the balance of sustainable resource use and business investment"
Price: 49.00  |
| "Réfugiés et demandeurs d'asile: réalités et pistes" |
| "Mot de la conceptrice principale Durant les dernières années, de nombreux conflits armés et diverses crises humanitaires ont secoué notre planète et provoqué le déplacement forcé de nombreuses populations dans différentes régions du monde. Ces mouvements migratoires ont mis de nombreux pays face aux défis de l’accueil des réfugiés et des demandeurs d’asile. Les sociétés d’accueil se trouvent devant la nécessité de répondre aux divers besoins de ces populations afin de mieux les intégrer. Par conséquent, la connaissance et la prise en compte des réalités psychosociales et éducatives des jeunes réfugiés et demandeurs d’asile et de leur famille, ainsi que leur vécu pré, péri et post-migratoire constituent une assise pour toute action fructueuse auprès d’eux. L’accueil et l’intégration des jeunes réfugiés et demandeurs d’asile dépendent du travail collaboratif de nombreux intervenants et professionnels qui doivent et veulent être formés et outillés à cet effet. Lors de l’arrivée des réfugiés syriens au Québec et au Canada (2015-2016), j’ai été très fréquemment sollicitée par les milieux éducatifs, les milieux de la santé et des services sociaux à proposer des formations ciblées à leurs intervenants. Après de multiples formations données au Québec ou ailleurs, j’ai voulu offrir et partager le fruit de nombreuses années de recherche et d’expérience clinique auprès de ces populations parfois endeuillées, traumatisées et vulnérabilisées par les expériences pré, péri et post-migratoires, mais aussi enrichies par des stratégies adaptatives. Ce CLOM (MOOC), ce cours en ligne organisé et massif, accessible, gratuit et adressé au monde francophone vient s’ajouter à toutes les initiatives visant un meilleur accueil et une meilleure intégration des jeunes réfugiés et demandeurs d’asile. J’espère que ce cours vous donnera les outils nécessaires pour intervenir de façon éclairée avec cette population particulière. Au plaisir de partager ces contenus avec vous, Garine Papazian-Zohrabian | Professeure agrégée Département de psychopédagogie et d'andragogie Faculté des sciences de l’éducation, Université de Montréal Membre de l’Ordre des Psychologues du Québec"
Price: 99.00  |
| "Clinical Reasoning Process" |
| "The course introduces the clinical reasoning process as it is used by clinicians from different health disciplines: medicine, dentistry, nursing, veterinary medicine, and pharmacy. The course offers a step-by-step description and explanation of the process, illustrated with clinical examples. This course is of interest to both students and health professionals as they hone their knowledge and clinical reasoning skills. The clinical reasoning process was analyzed and modeled by six clinicians from the Faculty of Medicine at Université de Montréal together with a cognitive specialist. The result of this research was a model that was first published in the journal Medical Education in April 2012(1). The research itself forms the cornerstone of the course. (1) Source : Charlin, B., Lubarsky, S., Millette, B., Crevier, F., Audétat, M.-C., Charbonneau, A., Caire Fon, N., Hoff, L. and Bourdy, C. (2012), Clinical reasoning processes: unravelling complexity through graphical representation. Medical Education, 46: 454–463. doi: 10.1111/j.1365-2923.2012.04242.x"
Price: 149.00  |
| "Bias and Discrimination in AI" |
| "Engage in this course pertaining to a highly impactful yet, too rarely discussed, AI-related topic. You will learn from international experts in the field, also speakers at IVADO’s International School on Bias and Discrimination in AI, which took place in Montreal, and explore the social and technical aspects of bias, discrimination and fairness in machine learning and algorithm design. The main focus of this course is: gender, race and socioeconomic-based bias as well as bias in data-driven predictive models leading to decisions. The course is primarily intended for professionals and academics with basic knowledge in mathematics and programming, but the rich content will be of great use to whomever uses, or is interested in, AI in any other way. These sociotechnical topics have proven to be great eye-openers for technical professionals! The total duration of the video content available in this course is 7:30 hours, cut into relevant segments that you may watch at your own pace. There are also comprehensive quizzes at the end of each segment to measure your understanding of the content. IVADO is a scientific and economic data science hub bridging industrial, academic and governmental partners with expertise in digital intelligence. One of its missions is to contribute to the advancement of digital knowledge and train new generations of bias-aware data scientists. Welcome to this enlightening journey in the world of ethical AI!"
Price: 149.00  |
| "Deep Learning Essentials" |
| "Gain a good understanding of what Deep Learning is, what types of problems it resolves, and what are the fundamental concepts and methods it entails. The course developed by IVADO, Mila and Université de Montréal offers diversified learning tools for you to fully grasp the extent of this ground-breaking cross-cutting technology, a critical need in the field. IVADO, a scientific and economic data science hub bridging industrial, academic and government partners with expertise in digital intelligence designed the course, and the world-renowned Mila, rallying researchers specialized in Deep Learning, created the content. Mila’s founder and IVADO’s scientific director, Yoshua Bengio, also a professor at Université de Montréal, is a world-leading expert in artificial intelligence and a pioneer in deep learning as well as the scientific director of this course. He is also a joint recipient of the 2018 A.M. Turing Award, “the Nobel Prize of Computing”, for conceptual and engineering breakthroughs that have made deep neural networks a critical component of computing. Deep Learning is an extension of Machine Learning where machines can learn by experience without human intervention. It is largely influenced by the human brain in the fact that algorithms, or artificial neural networks, are able to learn from massive amounts of data and acquire skills that a human brain would. Thus, Deep learning is now able to tackle a large variety of tasks that were considered out of reach a few years ago in computer vision, signal processing, natural language processing, robotics, and sequential decision-making. Because of these recent advances, various industries are now deploying deep learning models that impact various economic sectors such as transport, health, finance, energy, as well as our daily life in general. If you are a professional, a scientist or an academic with basic knowledge in mathematics and programming, this MOOC is designed for you! Atop the rich Deep Learning content, discover issues of bias and discrimination in machine learning and benefit from this sociotechnical topic that has proven to be a great eye-opener for many."
Price: 149.00  |
| "Monozukuri: Making Things" |
| "This course introduces fundamental topics related to Monozukuri covering engineering topics such as thermodynamics, fluid dynamics, design, and dynamics of machinery. This is a new type of course in which learners not only view video lectures and answer quizzes but also learn while actually engaging in their own hands-on learn-by-doing project. You will learn about propulsion mechanism related to a small pop-pop (heat powered) steamboat. By introducing monozukuri (the art of manufacturing or preparing tangible objects) which is a philosophy of how to make things with precision that work extremely well. The principle standing behind Japanese high quality manufactured goods will be revealed. Interviews with craftsmen and student organizations that design and make things including the all Japan university competition on human-powered aircraft will be given as an example. This course is recommended course for learners who want to learn engineering principles and about making things in Japan. This course is a revision of the previous course on the same topic and was revised taking into account learner feedback. It also contains materials on experiental learning, which is the learning process by which one learns via their experiences. Furthermore, building a milk-carton boat out of an aluminum can was added in case wood and copper tubing are not available."
Price: 49.00  |
| "Fundamental of Financial Mathematics and Capital Budgeting" |
| "This course begins with a look at the determinants of value. We will cover two main approaches to valuing businesses as going concerns, discounting cash flows and valuation ratios, including the inputs needed to perform the calculations and how each deal with risk. We then proceed to look at the time value of money concepts - present value and future value and the role interest rates plays in the calculation of each. This course also covers the impact of different compounding frequencies and explains the methodologies used to make comparisons between interest rates based on different compounding conventions. We’ll learn how to calculate the future value of lump sums and cash flow streams (including period certain annuities) as well as calculate the present value of lump sums, cash flow streams (including period certain annuities and perpetuities—both constant and growing). The course also covers in in detail the three main approaches to capital budgeting decisions (Payback, Internal Rate of Return and Net Present Value Analysis), including the conceptual framework, input values and decision rules for each. We’ll wrap up this course with a look at the strengths and weaknesses of each of three main approaches to capital budgeting decisions and modification to Payback and IRR that attempt to address the shortcomings of each. This course is part 1 of the New York Institute of Finance’s Corporate Finance & Valuation Methods Professional Certificate."
Price: 99.00  |
| "Cost of Capital" |
| "This course begins with a look at the connection between the cost of capital to the firm and risk versus expected returns to investors for the different types of corporate securities. We’ll look at the trade-offs issuers are considering when assessing the relative cost of different types of capital versus risk to the firm when trying to optimize capital structure. We’ll also learn how to calculate the after-tax cost of debt capital from straight debt and convertible debt, securities based on current borrowing rates as well as calculate the cost of equity capital using both a dividend discount approach and the capital asset pricing model (CAPM). This course also looks at the potential issues regarding the cost of equity capital as computed via CAPM as it relates to values used for equity betas, market risk premium and choice of risk-free rate and explain the connection between common stock betas and company leverage, adjust beta for different degrees of leverage in capital structures and describe potential applications of adjusted betas. We’ll learn how to calculate weighted-average cost of capital (WACC) and discuss the potential impact on WACC due to changes in capital structure, dividend policy or investment policy. We’ll wrap up the course with a look at the rationale for use of WACC or the cost of equity capital in a discounted cash flow valuation, including what cash flow measure either would be appropriate for valuing. This course is part 2 of the New York Institute of Finance’s Corporate Finance & Valuation Methods Professional Certificate."
Price: 150.00  |
| "Discounted Cash Flow (DCF) and Other Valuation Methodologies" |
| "In this course, we’ll look at the various methods for conducting DCF valuations (no growth, constant growth and variable growth), source of input values and when each is appropriate. We’ll explain the rationale for using free cash flows versus other measures of net resource flows (e.g. dividends, earnings, EBITDA, etc.) when valuing a firm or its common equity. We’ll also learn how to calculate free cash flow (to the firm and to the equity holders) using information from corporate financial statements Next, we’ll discuss the factors that would need to be factored into a free cash flow projection for a DCF valuation, including but not limited to issues impacting sales growth, margins (net and operating) and leverage (operating and financial). We’ll also cover the macroeconomic, industry sector and company-specific factors that color the context for cash flow projections (e.g. industry/product lifecycle or competitive analysis). Next, we’ll learn how to calculate a terminal value for a DCF valuation and discuss issues regarding the sensitivity of a terminal value to assumed growth and discount rates as well as a factor related to the determination of reasonable estimates for those inputs. We’ll also learn how to calculate the value of a firm and the value of its equity using DCF analysis given the appropriate free cash flow projections and discount rates. Next, we’ll discuss alternative methods for determining enterprise value and equity value based on either excess cash and non-operating assets or economic profit and invested capital. We’ll wrap up this course with a look at the components of the widely used valuation ratios and how they are employed in assessing relative value. This course is part 3 of the New York Institute of Finance’s Corporate Finance & Valuation Methods Professional Certificate."
Price: 250.00  |
| "Option Pricing and Applications in Capital Budgeting and Corporate Finance" |
| "In this course, we’ll look at the elemental features of basic call and put options and identify the factors which are the key determinants of option values. We’ll also look at the characteristics and methodology used to estimate option values: Black-Scholes and binomial option pricing models. In this course, we’ll also define the term “real option” and draw decision trees to represent alternative decisions and potential outcomes in an uncertain economy and describe three types of real options—timing, growth, and abandonment—and explain why it is important to consider those options when evaluating projects. We’ll explain how an investment for which a negative NPV is projected can have a positive NPV once any embedded real options are properly included in the evaluation as well as describe other methodologies businesses sometimes use to decide among investment projects: Equivalent Annual Benefit, Profitability Index and Hurdle Rate. We’ll wrap up the course with a look at the option equivalents of corporate securities and explain how any insights obtained can be used in determining optimal investing or issuance strategies. This course is part 4 of the New York Institute of Finance’s Corporate Finance & Valuation Methods Professional Certificate."
Price: 275.00  |
| "Corporate Funding Alternatives and Financing Strategies" |
| "In this course, we’ll look at the role of venture capitalists in funding early-stage companies including their position in the capital structure and potential benefits to the early-stage company beyond obtaining capital. We’ll describe the different means by which corporations obtain funding in the public and private markets and the differences between offerings registered with the SEC (Securities and Exchange Commission) and transactions that are exempt from that requirement. We’ll identify the primary steps from the filing of a registration statement with the SEC to distribution in an initial public offering (IPO) and discuss the most common types of debt offerings by large corporations, 144A offerings and Shelf registrations (Rule 415). In this course, we’ll also discuss the factors that lead companies to pursue management buyouts (usually structured as leveraged buyouts and the trade-offs inherent in corporations making investments via M&A (mergers and acquisitions) or strategic partnerships versus de novo investments or organic growth of existing businesses. This course is part 5 of the New York Institute of Finance’s Corporate Finance & Valuation Methods Professional Certificate."
Price: 275.00  |
| "Corporate Finance and Valuation Methods Professional Certificate Examination" |
| "Ready to earn a professional certificate and stand out in your field? If you’ve gained a clear, comprehensive understanding of the courses, your next step is to complete the Corporate Finance and Valuation Methods Professional Certificate Examination from the New York Institute of Finance. The exam comprises 26 questions, timed at 60 Minutes. To qualify for the certificate, learners must receive a grade of at least 70% or better. Prerequisite for this exam: Earn a Verified Certificate in all parts of the Corporate Finance and Valuation Methods program from NYIF: Fundamental of Financial Mathematics and Capital Budgeting Cost of Capital Discounted Cash Flow (DCF) and Other Valuation Methodologies Option Pricing and Applications in Capital Budgeting and Corporate Finance Corporate Funding Alternatives and Financing Strategies"
Price: 500.00  |
| "Statistics and R" |
| "This course teaches the R programming language in the context of statistical data and statistical analysis in the life sciences. We will learn the basics of statistical inference in order to understand and compute p-values and confidence intervals, all while analyzing data with R code. We provide R programming examples in a way that will help make the connection between concepts and implementation. Problem sets requiring R programming will be used to test understanding and ability to implement basic data analyses. We will use visualization techniques to explore new data sets and determine the most appropriate approach. We will describe robust statistical techniques as alternatives when data do not fit assumptions required by the standard approaches. By using R scripts to analyze data, you will learn the basics of conducting reproducible research. Given the diversity in educational background of our students we have divided the course materials into seven parts. You can take the entire series or individual courses that interest you. If you are a statistician you should consider skipping the first two or three courses, similarly, if you are biologists you should consider skipping some of the introductory biology lectures. Note that the statistics and programming aspects of the class ramp up in difficulty relatively quickly across the first three courses. We start with simple calculations and descriptive statistics. By the third course will be teaching advanced statistical concepts such as hierarchical models and by the fourth advanced software engineering skills, such as parallel computing and reproducible research concepts. These courses make up 2 XSeries and are self-paced: PH525.1x: Statistics and R for the Life Sciences PH525.2x: Introduction to Linear Models and Matrix Algebra PH525.3x: Statistical Inference and Modeling for High-throughput Experiments PH525.4x: High-Dimensional Data Analysis PH525.5x: Introduction to Bioconductor: annotation and analysis of genomes and genomic assays PH525.6x: High-performance computing for reproducible genomics PH525.7x: Case studies in functional genomics This class was supported in part by NIH grant R25GM114818."
Price: 249.00  |
| "Introduction to Linear Models and Matrix Algebra" |
| "Matrix Algebra underlies many of the current tools for experimental design and the analysis of high-dimensional data. In this introductory online course in data analysis, we will use matrix algebra to represent the linear models that commonly used to model differences between experimental units. We perform statistical inference on these differences. Throughout the course we will use the R programming language to perform matrix operations. Given the diversity in educational background of our students we have divided the series into seven parts. You can take the entire series or individual courses that interest you. If you are a statistician you should consider skipping the first two or three courses, similarly, if you are biologists you should consider skipping some of the introductory biology lectures. Note that the statistics and programming aspects of the class ramp up in difficulty relatively quickly across the first three courses. You will need to know some basic stats for this course. By the third course will be teaching advanced statistical concepts such as hierarchical models and by the fourth advanced software engineering skills, such as parallel computing and reproducible research concepts. These courses make up 2 XSeries and are self-paced: PH525.1x: Statistics and R for the Life Sciences PH525.2x: Introduction to Linear Models and Matrix Algebra PH525.3x: Statistical Inference and Modeling for High-throughput Experiments PH525.4x: High-Dimensional Data Analysis PH525.5x: Introduction to Bioconductor: annotation and analysis of genomes and genomic assays PH525.6x: High-performance computing for reproducible genomics PH525.7x: Case studies in functional genomics This class was supported in part by NIH grant R25GM114818."
Price: 149.00  |
| "Statistical Inference and Modeling for High-throughput Experiments" |
| "In this course you’ll learn various statistics topics including multiple testing problem, error rates, error rate controlling procedures, false discovery rates, q-values and exploratory data analysis. We then introduce statistical modeling and how it is applied to high-throughput data. In particular, we will discuss parametric distributions, including binomial, exponential, and gamma, and describe maximum likelihood estimation. We provide several examples of how these concepts are applied in next generation sequencing and microarray data. Finally, we will discuss hierarchical models and empirical bayes along with some examples of how these are used in practice. We provide R programming examples in a way that will help make the connection between concepts and implementation. Given the diversity in educational background of our students we have divided the series into seven parts. You can take the entire series or individual courses that interest you. If you are a statistician you should consider skipping the first two or three courses, similarly, if you are biologists you should consider skipping some of the introductory biology lectures. Note that the statistics and programming aspects of the class ramp up in difficulty relatively quickly across the first three courses. By the third course will be teaching advanced statistical concepts such as hierarchical models and by the fourth advanced software engineering skills, such as parallel computing and reproducible research concepts. These courses make up 2 XSeries and are self-paced: PH525.1x: Statistics and R for the Life Sciences PH525.2x: Introduction to Linear Models and Matrix Algebra PH525.3x: Statistical Inference and Modeling for High-throughput Experiments PH525.4x: High-Dimensional Data Analysis PH525.5x: Introduction to Bioconductor: annotation and analysis of genomes and genomic assays PH525.6x: High-performance computing for reproducible genomics PH525.7x: Case studies in functional genomics This class was supported in part by NIH grant R25GM114818."
Price: 149.00  |
| "High-Dimensional Data Analysis" |
| "If you’re interested in data analysis and interpretation, then this is the data science course for you. We start by learning the mathematical definition of distance and use this to motivate the use of the singular value decomposition (SVD) for dimension reduction of high-dimensional data sets, and multi-dimensional scaling and its connection to principle component analysis. We will learn about the batch effect, the most challenging data analytical problem in genomics today, and describe how the techniques can be used to detect and adjust for batch effects. Specifically, we will describe the principal component analysis and factor analysis and demonstrate how these concepts are applied to data visualization and data analysis of high-throughput experimental data. Finally, we give a brief introduction to machine learning and apply it to high-throughput, large-scale data. We describe the general idea behind clustering analysis and descript K-means and hierarchical clustering and demonstrate how these are used in genomics and describe prediction algorithms such as k-nearest neighbors along with the concepts of training sets, test sets, error rates and cross-validation. Given the diversity in educational background of our students we have divided the series into seven parts. You can take the entire series or individual courses that interest you. If you are a statistician you should consider skipping the first two or three courses, similarly, if you are biologists you should consider skipping some of the introductory biology lectures. Note that the statistics and programming aspects of the class ramp up in difficulty relatively quickly across the first three courses. By the third course will be teaching advanced statistical concepts such as hierarchical models and by the fourth advanced software engineering skills, such as parallel computing and reproducible research concepts. These courses make up 2 XSeries and are self-paced: PH525.1x: Statistics and R for the Life Sciences PH525.2x: Introduction to Linear Models and Matrix Algebra PH525.3x: Statistical Inference and Modeling for High-throughput Experiments PH525.4x: High-Dimensional Data Analysis PH525.5x: Introduction to Bioconductor: annotation and analysis of genomes and genomic assays PH525.6x: High-performance computing for reproducible genomics PH525.7x: Case studies in functional genomics This class was supported in part by NIH grant R25GM114818."
Price: 149.00  |
| "Alzheimer’s Disease & Dementia Care" |
| "Are you a current or future caregiver, or, a nurse or other healthcare professional who wants to learn more about Alzheimer’s disease? Here are the key content areas that will be addressed over 5 modules: Over 5 million Americans and an estimated 24 million people worldwide are living with Alzheimer’s disease (AD). Given the exponential aging of the population, these numbers are expected to increase dramatically over the next few decades; Alzheimer’s disease is an irreversible, progressive brain disorder that slowly destroys memory and thinking skills and, eventually, the ability to carry out the simplest tasks. It is the most common cause of dementia among older adults and has both genetic and environmental factors in its development; AD is characterized by a variety of cognitive symptoms, including short-term memory loss, problems with problem-solving, judgment and recognition. There are also changes in mood and neuropsychiatric symptoms such as depression, hallucinations and paranoia. Behavioral expressions, include irritability, agitation, resistance to care, and wandering. In the later stages, the person is dependent in all activities of daily living and requires total care; There is no known cause, effective treatment or cure, but there are currently two classes of medications approved to enhance cognitive function, as well as, lifestyle-based preventive strategies thought to possibly reduce risk; There are evidence-based therapeutic approaches and communication strategies to enhance interactions and optimally, prevent behavioral expressions; The key principles of care for the hospitalized person with Alzheimer’s disease are examined, including the importance of therapeutic communication strategies to prevent behavioral expressions and other complications such as delirium and falls; Lastly, the essential role of the dementia caregiver is discussed, including potential consequences, stresses and gratifications, as well as the resources available."
Price: 49.00  |
| "Batteries, Fuel Cells, and their Role in Modern Society" |
| "In today's world, we see game-changing movements in transportation and energy markets. A better understanding of the processes involved can help you to find your own role in these incipient shifts and take advantage of monumental changes down the road. This course is an elementary introduction to batteries and fuel cell, the cornerstone of electromobility and renewable energy, the main drivers of sustainable development. Learning the lessons of history, understanding the main driving forces, and gaining the basic knowledge of the key technologies will build your basic all-around comprehension of the subject. This course aims tobridgescience and society. For students focused on science, it will help illustrate the demands of society and industry. For learners from industry, business, or from generalist backgrounds, it will be the lucid introduction to the subject. The short course will not make you an expert in batteries, fuels cells, and electric vehicles, but will help you incommunicating with scientists and engineers and make your further education (or self-education) more productive. The main focus of the course is on batteries - namely, lithium-ion batteries - and electric vehicles as the key market."
Price: 49.00  |
| "Intermediate C++" |
| "Now that you’ve mastered the basics, the Intermediate level is where C++ truly shines. This course is the second in a three-part series designed to teach students some of the most important C++ concepts. This part focuses on how C++ interacts with memory, featuring concepts like pointers/memory addresses, heap memory management, and writing/reading files. Knowing C++, you can create applications that will run on a wide variety of hardware platforms such as personal computers running Windows, Linux, UNIX, and Mac OS X, as well as small form factor hardware such as IoT devices like the Raspberry PI and Arduino –based boards. Note: These courses will retire in June. Please enroll only if you are able to finish your coursework in time."
Price: 99.00  |
| "Microsoft Service Adoption Specialist" |
| "In this introductory course you will learn the six critical elements of driving adoption of your Microsoft cloud services to deliver value to your company. This course is applicable to any size company and uses Office 365 and Microsoft Teams as the example service to create real world scenarios. You will learn specifics about the critical elements in successful adoption planning and execution including: Structure of a service adoption team How to create service strategy & success measures Communication methods for training & service awareness Feedback & community management tools Technical readiness elements The course is intended for training, communications or adoption staff as well as IT professionals that manage an Office 365 deployment. Join the community of Office 365 Champions and Adoption Specialists at https://aka.ms/O365Champions to share your experience and learn from others who are driving adoption of cloud services. Note: These courses will retire in June. Please enroll only if you are able to finish your coursework in time."
Price: 99.00  |
| "Introduction to Data Analysis using Excel" |
| "The ability to analyze data is a powerful skill that helps you make better decisions. Microsoft Excel is one of the top tools for data analysis and the built-in pivot tables are arguably the most popular analytic tool. In this course, you will learn how to perform data analysis using Excel's most popular features. You will learn how to create pivot tables from a range with rows and columns in Excel. You will see the power of Excel pivots in action and their ability to summarize data in flexible ways, enabling quick exploration of data and producing valuable insights from the accumulated data. Pivots are used in many different industries by millions of users who share the goal of reporting the performance of companies and organizations. In addition, Excel formulas can be used to aggregate data to create meaningful reports. To complement, pivot charts and slicers can be used together to visualize data and create easy to use dashboards. You should have a basic understanding of creating formulas and how cells are referenced by rows and columns within Excel to take this course. If required, you can can find many help topics on Excel at the Microsoft Office Support Site. You are welcome to use any supported version of Excel you have installed in your computer, however, the instructions are based on Excel 2016. You may not be able to complete all exercises as demonstrated in the lectures but workarounds are provided in the lab instructions or Discussion forum. Please note that Excel for Mac does not support many of the features demonstrated in this course. After taking this course you'll be ready to continue to our more advanced Excel course, Analyzing and Visualizing Data with Excel. Note: These courses will retire in June. Please enroll only if you are able to finish your coursework in time."
Price: 99.00  |
| "Object Oriented Programming in Java" |
| "What do hiring managers look for in entry-level developers? According to a recent survey, one of the most requested job skills is ""strong object oriented design"". Yet traditional computer science programs rarely focus on this area. In this Java course, examine the role of objects in code, explore how to use them, and see how to design them for optimal code reuse and structure. Get tons of hands-on coding experience using popular Java objects, like Arrays and Lists, and then leverage those learnings to design your own object hierarchies. Plus, practice using inheritance, interfaces, abstract classes, and encapsulation techniques to help you manage large code bases. Get comfortable employing industry standards in designing and managing complex relationships within a code base, as you add to your computer science skill set. Note : These courses will retire in June. Please enroll only if you are able to finish your coursework in time."
Price: 99.00  |
| "Learn to Program in Java" |
| "Ready to start your programming journey? Being a software engineer is much more than simply writing code--it requires a strong conceptual understanding of computer science. In this course, which was developed through a combination of academic and industry perspectives, learn not only how to code in Java but also how to break down problems and implement their solutions using some of the most fundamental computer science tools. Get plenty of hands-on Java coding experience with methods, logic, loops, variables, parameters, returns, and recursion. And write your code using industry-standard tools and practices to help you build strong habits as you grow your development skill set. Whether you are preparing for advanced university computer science courses, an entry-level software engineering position, or the Advanced Placement Computer Science A exam, get the tools you need to succeed in this practical, self-paced Java course. Note : These courses will retire in June. Please enroll only if you are able to finish your coursework in time."
Price: 99.00  |
| "Introduction to Python: Fundamentals" |
| "Ready for more hands-on, step-by-step Python fundamentals? Add to the foundational experience you got in the Introduction to Python: Absolute Beginner, and explore data structures. Get lots of practice working with sample code in Jupyter Notebooks on Azure, which require only a browser and an Internet connection. Focus on Python data structures, and work with string, list, and range sequences. Discover the power of list iteration, and learn about string and list methods. From there, get the details on file input and output--open files, read them, add to them, close them, and more. At the end of the course, you'll be able to slice strings into substrings, create lists, iterate through them, import files, and use file append mode, along with a lot of other practical Python tasks, as you get started coding. Note: These courses will retire in June. Please enroll only if you are able to finish your coursework in time."
Price: 99.00  |
| "Logic and Computational Thinking" |
| "Understanding how a computer ""thinks"" is one of the first steps to becoming an excellent computer programmer. A foundation in logic is crucial in developing this understanding. Mastering logic is more than learning a set of rules. It involves learning how to break problems into smaller chunks, figuring out how repeatable processes can save time and improve quality, and understanding how to organize problems into the right size. In this course, you'll learn how to do all those things and use computers to make them easier. After all, logical tasks are what computers are best at doing! This is not a programming course, but it will teach you how to approach critical thinking as both a lifestyle and an aide to better programming and testing. Note: These courses will retire in June. Please enroll only if you are able to finish your coursework in time."
Price: 99.00  |
| "Introduction to Python: Absolute Beginner" |
| "Brand new to text-based programming? Check out this hands-on course for an in-depth look at the details of Python layers and concepts. Get ample practice drills and projects, using Jupyter Notebooks on Azure, which require only a browser and an Internet connection. Learn best practices and begin coding almost immediately. After you explore data types and variables, take a look at strings, input, testing, and formatting. From there, learn about arguments and parameters, along with conditionals and nested conditionals. By the end of the course, you'll be able to create programs that prompt users for input and use conditional (True/False) logic and Python methods to manipulate numbers and text to provide responses to the users, in addition to requesting further input. Plus, learn basic troubleshooting for your code. Sign up, and get started coding right away! Ready for next steps? Take the Introduction to Python: Fundamentals course. Note: These courses will retire in June. Please enroll only if you are able to finish your coursework in time."
Price: 99.00  |
| "Analytics Storytelling for Impact" |
| "All analytics work begins and ends with a story. Storytellingwith data is the analytics professional's missing link in delivering the essence of date signals and insights to executives, management, and other stakeholders. In this analytics storytelling course, you'll learn effective strategies and tools to master data communication in the most impactful way possible--through well-crafted analytics stories. You'll explore what a story is and,perhaps more importantly, what a story is not. Find out how stories create value and why they matter. Learn to craft stories, command the room, finish strong, and assess your impact. Get practical help applying these ideas to your data analytics work. Plus, you'lllearn guidelines and best practices for creating high-impact reports and presentations. edX offers financial assistance for learners who want to earn Verified Certificates but who may not be able to pay the fee. To apply for financial assistance, enroll in the course, then follow this link to complete an application for assistance. Note: These courses will retire in June. Please enroll only if you are able to finish your coursework in time."
Price: 99.00  |
| "Essential Math for Machine Learning: R Edition" |
| "Want to study machine learning or artificial intelligence, but worried that your math skills may not be up to it? Do words like ""algebra' and ""calculus"" fill you with dread? Has it been so long since you studied math at school that you've forgotten much of what you learned in the first place? You're not alone. Machine learning and AI are built on mathematical principles like Calculus, Linear Algebra, Probability, Statistics, and Optimization; and many would-be AI practitioners find this daunting. This course is not designed to make you a mathematician. Rather, it aims to help you learn some essential foundational concepts and the notation used to express them. The course provides a hands-on approach to working with data and applying the techniques you've learned. This course is not a full math curriculum. It's not designed to replace school or college math education. Instead, it focuses on the key mathematical concepts that you'll encounter in studies of machine learning. It is designed to fill the gaps for students who missed these key concepts as part of their formal education, or who need to refresh their memories after a long break from studying math. edX offers financial assistance for learners who want to earn Verified Certificates but who may not be able to pay the fee. To apply for financial assistance, enroll in the course, then follow this link to complete an application for assistance. Note: These courses will retire in June. Please enroll only if you are able to finish your coursework in time."
Price: 99.00  |
| "Data Science Research Methods: R Edition" |
| "Data scientists are often trained in the analysis of data. However, the goal of data science is to produce good understanding of some problem or idea and build useful models on this understanding. Because of the principle of ""garbage in, garbage out,"" it is vital that the data scientist know how to evaluate the quality of information that comes into a data analysis. This is especially the case when data are collected specifically for some analysis (e.g., a survey). In this course, you will learn the fundamentals of the research process--from developing a good question to designing good data collection strategies to putting results in context. Although the data scientist may often play a key part in data analysis, the entire research process must work cohesively for valid insights to be gleaned. Developed as a language with statistical analysis and modeling in mind, R has become an essential tool for doing real-world Data Science. With this edition of Data Science Research Methods, all of the labs are done with R, while the videos are tool-agnostic. If you prefer your Data Science to be done with Python, please see Data Science Research Methods: Python Edition. edX offers financial assistance for learners who want to earn Verified Certificates but who may not be able to pay the fee. To apply for financial assistance, enroll in the course, then follow this link to complete an application for assistance. Note: These courses will retire in June. Please enroll only if you are able to finish your coursework in time."
Price: 99.00  |
