Class Central is learner-supported. When you buy through links on our site, we may earn an affiliate commission.

Cloudswyft

Microsoft Future Ready: Fundamentals to R for Data Science

Cloudswyft via FutureLearn

Overview

Prepare for a new career with $100 off Coursera Plus
Gear up for jobs in high-demand fields: data analytics, digital marketing, and more.

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 a 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 visualisations. No prior knowledge in programming or data science is required.

What makes this course unique is that you will continuously practise 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 personalised feedback that guides you to the correct solution.

This course is designed to give you practical experience in executing commands using R. In this course you will learn the basic syntax of R and prepare you for data analysis using R. Starting with variables and basic operations, we will learn how to handle data structures such as vectors, matrices, data frames, and lists, and we will delve deeper into the graphical capabilities of R to create data visualisation.

Course Outcomes The following are the course learning objectives:

The R language fundamentals and basic syntax What R is and how it’s used to perform data analysis The major R data structures How to create visualizations using R

If you’re just starting your journey to become a data scientist, or you’re just curious to learn about R, then you’re in the right place! This course is the best way to start learning R, and no prior knowledge or technical background is required. If you’re a more advanced learner, or already a seasoned R user, stick around the discussion group and perhaps help your fellow students.

Syllabus

  • Course Introduction
    • About This Course
    • Introduction to R
    • CloudSwyft Hands-On Lab 1
    • Vectors
    • CloudSwyft Hands-On Lab 2
    • Wrapping Up the Week
  • Matrices, Factors and Lists
    • Matrices
    • CloudSwyft Hands-On Lab 3
    • Factors and Lists
    • CloudSwyft Hands-On Lab 4
    • Wrapping Up the Week
  • Data Frames and Graphics
    • Data Frames
    • CloudSwyft Hands-On Lab 5
    • Graphics
    • CloudSwyft Hands-On Lab 6
    • Wrapping Up the Course

Taught by

Daniela Piedrahita

Reviews

3 rating at FutureLearn based on 2 ratings

Start your review of Microsoft Future Ready: Fundamentals to R for Data Science

Never Stop Learning.

Get personalized course recommendations, track subjects and courses with reminders, and more.

Someone learning on their laptop while sitting on the floor.