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Introduction to R for Data Science

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Learn the R statistical programming language, the lingua franca of data science in this hands-on course.

Microsoft Online Course Highlights
  • weeks long
  • 2-3 hours per week
  • Learn for FREE, Ugpradable
  • Self-Paced
  • Taught by: Filip Schouwenaars, Jonathan Sanito
  • View Course Syllabus

Online Course Details:

This course is part of the Microsoft Professional Program Certificate in 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.

What you’ll learn

  • Introductory R language fundamentals and basic syntax
  • What R is and how it’s used to perform data analysis
  • Become familiar with the major R data structures
  • Create your own visualizations using R

Take This Online Course