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| "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 |
| "Introduction to R for Data Science" |
| "R is rapidly becoming the leading language in data science and statistics. Today, R is the tool of choice for data science professionals in every industry and field. Whether you are full-time number cruncher, or just the occasional data analyst, R will suit your needs. This introduction to R programming course will help you master the basics of R. In seven sections, you will cover its basic syntax, making you ready to undertake your own first data analysis using R. Starting from variables and basic operations, you will eventually learn how to handle data structures such as vectors, matrices, data frames and lists. In the final section, you will dive deeper into the graphical capabilities of R, and create your own stunning data visualizations. No prior knowledge in programming or data science is required. What makes this course unique is that you will continuously practice your newly acquired skills through interactive in-browser coding challenges using the DataCamp platform. Instead of passively watching videos, you will solve real data problems while receiving instant and personalized feedback that guides you to the correct solution. Enjoy! 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 |
| "Introduction to Data Science" |
| "Learn what it takes to become a data scientist. This is the first stop in the Data Science curriculum from Microsoft. It will help you get started with the program, plan your learning schedule, and connect with fellow students and teaching assistants. Along the way, you'll get an introduction to working with and exploring data using a variety of visualization, analytical, and statistical techniques. 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 |
| "Microsoft Azure Security Services" |
| "In this course, you will gain insights into Azure Security services to help secure your services and data within Azure. You will learn Azure security best practice andunderstandthe terminology, tools, and techniques for creating a secure resilient cloud service. You will alsolearn about and use the additional security services offered in Azure and Intune. Note: These courses will retire in June. Please enroll only if you are able to finish your coursework in time."
Price: 99.00 |
| "Querying Data with Transact-SQL" |
| "Transact-SQL is an essential skill for data professionals and developers working with SQL databases. With this combination of expert instruction, demonstrations, and practical labs, step from your first SELECT statement through to implementing transactional programmatic logic. Work through multiple modules, each of which explore a key area of the Transact-SQL language, with a focus on querying and modifying data in Microsoft SQL Server or Azure SQL Database. The labs in this course use a sample database that can be deployed easily in Azure SQL Database, so you get hands-on experience with Transact-SQL without installing or configuring a database server. 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 |
| "Introduction to Big Data" |
| "Learn what it takes to build Big Data analytics solutions. This is the first stop in the Big Data curriculum from Microsoft. It will help you get started with the curriculum, plan your learning schedule, and connect with fellow students and teaching assistants. Along the way, you'll get an introduction to working with data and some fundamental concepts and technologies for Big Data scenarios. Note : These courses will retire in June. Please enroll only if you are able to finish your coursework in time."
Price: 99.00 |
| "Windows Server 2016 Security Features" |
| "Have you had a chance to explore the new and enhanced security functionalities in Windows Server 2016? In this new course authored by Orin Thomas - who literally wrote the book on Windows Server! - you'll get a guided tour and learn to better safeguard against security breaches. Windows Server 2016 provides layers of protection that help address both known and emerging threats. You'll learn how it actively contributes to securing your infrastructure. See how protections were built to mitigate an array of attack vectors and to deal with the overall threat of ongoing attacks inside the datacenter. You'll begin with a look at the hardening of Windows Server 2016, including hardware requirements for Secure Boot and guidance on disabling system services. Explore ways to configure network security, including firewalls, and look at secure virtualization, like encryption-supported virtual machines. From there, you'll dive into secure virtualization, threat detection, privileged identity, Desired State Configuration, and more. See demos, participate in hands-on labs, and pass the final exam, as you shore up your skills for ongoing security management. Note: These courses will retire in June. Please enroll only if you are able to finish your coursework in time."
Price: 99.00 |
| "Principles of Machine Learning: Python Edition" |
| "Machine learning uses computers to run predictive models that learn from existing data in order to forecast future behaviors, outcomes, and trends. In this data science course, you will be given clear explanations of machine learning theory combined with practical scenarios and hands-on experience building, validating, and deploying machine learning models. You will learn how to build and derive insights from these models using Python, and Azure Notebooks. 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: Python Edition" |
| "Data scientists are often trained in the analysis of data. However, the goal of data science is to produce a 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 thata 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. Althougha 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 powerful and flexible language used in everything from Data Science to cutting-edge and scalable Artificial Intelligence solutions, Python has become an essential tool for doing Data Science and Machine Learning. With this edition of Data Science Research Methods, all of the labs are done with Python, while the videos are language-agnostic. If you prefer your Data Science to be done with R, please see Data Science Research Methods: R 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 |
| "Windows 10 Security Features" |
| "Looking to stay ahead of the security curve? As you get to know the new security architecture and features of Windows 10--and learn to deploy them--gain the insights and knowledge you'll need for the future. Microsoft security engineers have hardened the operating system at every layer of the stack, reducing the attack surface with new security features that help protect against a range of threats. Join a team of experts to explore the ever-increasing levels of security within Windows 10. You'll start with the Windows 10 defensive stack, including bundled security features. Configure endpoint security, review additional security tools, like Windows Information Protection and Windows Defender Exploit Guard. In this course, you'll get practical details on built-in, end-to-end protections and support for the larger ecosystem of ISV and OEM partners. Skill up to face down today's security threats with hands-on virtualized lab exercises, demos, quizzes, and a final exam. The following team of recognized experts contributed to this course: Andrew Warren, Lesley Kipling, Erdal Ozkaya, Neil Carpenter, Sami Laiho, Raymond Comvalius, Seth Moore, Michiko Short, Mike Terrill, Amitai Rottem, Randy Treit. 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: Python 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 |
| "Managing Identity" |
| "With identity as the new perimeter in today's security landscape, it's important to keep up on the latest ways to manage it. Identity--which defines what protocols you're allowed to use, who you're allowed to interact with, and what you're allowed to do--has evolved significantly in the last few years. In this security course, go beyond the firewall and ports, and learn practical steps and prescriptive guidance on identity management, based on proven, real-world experience from Microsoft Incident Response teams. Start with a conceptual look at identity, explore Active Directory best practices, find out how to secure Azure Active Directory, and then get hands-on with a combination of videos, text, and hosted labs. You will create a protective bastion host for an existing domain, configure Privilege Access Management (PAM) and Just in Time Administration (JIT), install JRE, and set up Microsoft Identity Manager. With successful course completion, you will understand the hows and whys of improving the security posture of your environment, and get started implementing and managing identity as part of your cybersecurity defense plan. 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 for Data Science" |
| "Python is a very powerful programming language used for many different applications. Over time, the huge community around this open source language has created quite a few tools to efficiently work with Python. In recent years, a number of tools have been built specifically for data science. As a result, analyzing data with Python has never been easier. In this practical course, you will start from the very beginning, with basic arithmetic and variables, and learn how to handle data structures, such as Python lists, Numpy arrays, and Pandas DataFrames. Along the way, you'll learn about Python functions and control flow. Plus, you'll look at the world of data visualizations with Python and create your own stunning visualizations based on real data. 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 |
| "Powershell Security Best Practices" |
| "This course that will teach students how to securely accomplish administrative tasks using Windows PowerShell 5.x. Students will review PowerShell fundamentals, learn Powershell operational security, and configuration management. Students will also learn how to use administration tools such as Desired State Configuration (DSC) and Just Enough Administration (JEA) to configure and secure servers. This course also looks at new threats, new exploits, the ever-changing attack surface, and how to remediate them. Note: These courses will retire in June. Please enroll only if you are able to finish your coursework in time."
Price: 99.00 |
| "Ethics and Law in Data and Analytics" |
| "Corporations, governments, and individuals have powerful tools in Analytics and AI to create real-world outcomes, for good or for ill. Data professionals today need both the frameworks and the methods in their job to achieve optimal results while being good stewards of their critical role in society today. In this course, you'll learn to apply ethical and legal frameworks to initiatives in the data profession. You'll explore practical approaches to data and analytics problems posed by work in Big Data, Data Science, and AI. You'll also investigate applied data methods for ethical and legal work in Analytics and AI. 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 |
| "Planning a Security Incident Response" |
| "This course is designed to help you manage an enterprise security incident, while avoiding common errors, increasing both the effectiveness and efficiency of your incident response efforts. Note: These courses will retire in June. Please enroll only if you are able to finish your coursework in time."
Price: 99.00 |
