Begin your R programming journey with this foundational course that combines essential programming concepts with Microsoft's professional development environment. Through five comprehensive modules, you'll master R basics while working with Visual Studio Code and GitHub Copilot. Starting with fundamental concepts like variables and data structures, you'll progress to working with real data and implementing version control. The course features hands-on projects, AI-assisted coding practice, and culminates in creating your first complete R programming project.
In this first module, you'll become familiar with R, a language used to organize, analyze, and visualize data in your workplace. You will set up your workspace in Microsoft Visual Studio Code, learn how to navigate the basic interface, and start writing your first simple commands. This module will…
In Module 2, you'll learn important building blocks for working comfortably with data using R. You will practice creating and using variables, managing different kinds of data structures, like vectors and tables, and start making decisions in your code using conditional statements and loops. You wi…
In this module, you'll learn practical skills to bring data into R, organize it clearly, and tidy things up when data isn't perfect (which is common in the workplace). You'll also find out how to do simple calculations and create straightforward reports to summarize information clearly for your tea…
In this module, you'll learn how to keep track of your work and collaborate using Git and GitHub, tools many professionals rely on to manage their work projects efficiently. You'll also discover how to use GitHub Copilot, an AI assistant that guides and supports you while writing code, simplifying…
In this final module, you'll plan and complete your own practical R programming project, applying everything you've learned to solve a realistic workplace challenge. You'll organize your work, write simple documentation, and share your completed project using GitHub, just like professionals do. By…
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Microsoft is in Tier 2: excellent universities and the companies that build the technology of our institution ranking (86/100).
Instructor: Dennis Freeman, Kendra Pugh This course provides an integrated introduction to electrical engineering and computer science, including modern software engineering, linear systems analysis, electronic circuits, and decision-making. The lecture videos provide an overview of each topic, whi…
Harvard University · edX
Learn the concepts and techniques that make up the foundation of data science and machine learning.
This is an introductory-level course in supervised learning, with a focus on regression and classification methods. The syllabus includes: linear and polynomial regression, logistic regression and linear discriminant analysis; cross-validation and the bootstrap, model selection and regularization m…
Instructors: Esther Duflo and Sara Ellison View the complete course: https://ocw.mit.edu/courses/14-310x-data-analysis-for-social-scientists-spring-2023 This course introduces methods for harnessing data to answer questions of cultural, social, economic, and policy interest. We will start with esse…
Harvard University · edX
An introduction to programming using Python, a popular language for general-purpose programming, data science, web programming, and more.
Harvard University · edX
Build a foundation in R and learn how to wrangle, analyze, and visualize data.
