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edX Introduction to R for Data Science

Microsoft via edX

  • Overview
  1. edX
    Platform:
    edX
    Provider:
    Microsoft
    Length:
    4 weeks
    Effort:
    2-3 hours/week
    Language:
    English
    Credentials:
    Paid Certificate Available
    Part of:
    Microsoft Professional Program Certificate in Data Science
    Overview
    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 Will 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
    Syllabus
    Section 1: Introduction to Basics
    Take your first steps with R. Discover the basic data types in R and assign your first variable.

    Section 2: Vectors
    Analyze gambling behaviour using vectors. Create, name and select elements from vectors.

    Section 3: Matrices
    Learn how to work with matrices in R. Do basic computations with them and demonstrate your knowledge by analyzing the Star Wars box office figures.

    Section 4: Factors
    R stores categorical data in factors. Learn how to create, subset and compare categorical data.

    Section 5: Data Frames
    When working R, you’ll probably deal with Data Frames all the time. Therefore, you need to know how to create one, select the most interesting parts of it, and order them.

    Section 6: Lists
    Lists allow you to store components of different types. Section 6 will show you how to deal with lists.

    Section 7: Basic Graphics
    Discover R’s packages to do graphics and create your own data visualizations.

    Taught by
    Filip Schouwenaars

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