Microsoft Future Ready: Fundamentals to R for Data Science

Future Learn

Course Features

Duration

3 weeks

Delivery Method

Online

Available on

Lifetime Access

Accessibility

Mobile, Desktop

Language

English

Subtitles

English

Level

Intermediate

Effort

5 hours per week

Teaching Type

Self Paced

Course Description

R is quickly becoming the most popular language for data science and statistics. R is today the preferred tool for data scientists in all industries and fields. R is the right tool for you, whether you're a full-time data cruncher or a casual analyst.

This course will introduce you to R programming. It will take you through seven sections. You will learn the syntax of R and how to use it to analyze data. The final section will allow you to explore the graphics capabilities of R and create stunning data visualizations. You don't need any prior knowledge of programming or data science.

This course is unique because you'll be able to continuously practice your new skills using interactive in-browser code challenges via the DataCamp platform. Instead of watching videos and passively learning, you will be solving real data problems and receiving personalized feedback to guide you towards the right solution.

This course will give you hands-on experience with R commands.

These are the course outcomes:

R syntax and the basics of R language. How to create visualizations with R using the major R data structures

Microsoft has co-created this course and it is accredited

Course Overview

Alumni Network

International Faculty

Post Course Interactions

Instructor-Moderated Discussions

Skills You Will Gain

What You Will Learn

Applied Introductory R language fundamentals and basic syntax

Described What R is and how it's used to perform data analysis

Evaluated major R data structures

Designed your own visualizations using R

Target Students

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

Course Content

Expand all sections

Module 1: R language

Module 2: Vectors

Module 3: Matrices

Module 4: Factors

Course Accreditations