4.6
stars
177 ratings

Ronald Guymon +1 more instructor

21,946 already enrolled

Offered By

Make progress toward the Master of Business Administration (iMBA) degree

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University of Illinois at Urbana-Champaign

About this Course

39,054 recent views

Nearly every aspect of business is affected by data analytics. For businesses to capitalize on data analytics, they need leaders who understand the business analytic workflow. This course addresses the human skills gap by providing a foundational set of data processing skills that can be applied to many business settings.
In this course you will use a data analytic language, R, to efficiently prepare business data for analytic tools such as algorithms and visualizations. Cleaning, transforming, aggregating, and reshaping data is a critical, but inconspicuous step in the business analytic workflow. 

As you learn how to use R to prepare data for analysis you will gain experience using RStudio, a powerful integrated development environment (IDE), that has many built-in features that simplify coding with R. 

As you learn about the business analytic workflow you will also consider the interplay between business principles and data analytics. Specifically, you will explore how delegation, control, and feasibility influence the way in which data is processed. You will also be introduced to examples of business problems that can be solved with data automation and analytics, and methods for communicating data analytic results that do not require copying and pasting from one platform to another.

Flexible deadlines

Reset deadlines in accordance to your schedule.

Shareable Certificate

Earn a Certificate upon completion

100% online

Start instantly and learn at your own schedule.

Coursera Labs

Includes hands on learning projects.

Learn more about Coursera Labs

Beginner Level

At least 1 year of business experience. Critical thinking.

Approx. 16 hours to complete

English

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What you will learn

You will learn how to process data using R and RStudio. You will also explore the interaction between business principles and data analytics.

Skills you will gain

Business Analytics
R Programming
Rstudio

Flexible deadlines

Reset deadlines in accordance to your schedule.

Shareable Certificate

Earn a Certificate upon completion

100% online

Start instantly and learn at your own schedule.

Coursera Labs

Includes hands on learning projects.

Learn more about Coursera Labs

Beginner Level

At least 1 year of business experience. Critical thinking.

Approx. 16 hours to complete

English

Could your company benefit from training employees on in-demand skills?

Try Coursera for Business

Instructors

Instructor rating

4.62/5 (58 Ratings)

Ronald Guymon

Senior Lecturer of Accountancy

Accountancy

55,484 Learners

5 Courses

Ashish Khandelwal

Adjunct Professor

Business Administration

21,946 Learners

1 Course

Offered by

University of Illinois at Urbana-Champaign

Get a head start on your degree

This course is part of the Master of Business Administration (iMBA) from University of Illinois at Urbana-Champaign. If you are admitted to the full program, your coursework will count towards your degree learning and all of your progress will transfer with you.

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See how employees at top companies are mastering in-demand skills

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Syllabus - What you will learn from this course

Content Rating93%(1,644 ratings)

Week1

Week 1

4 hours to complete

Course Overview and Module 1 How Do I Get Started Using a Data Analytic Language to Solve Business Problem?

4 hours to complete

14 videos (Total 84 min), 7 readings, 2 quizzes

14 videos

Course Introduction4mMeet Prof Ron Guymon2mLearn on Your Terms30sIntroduction to Business Analytics and R6mOverview of Business Analytics3mExamples of Business Analytics5mFACT Framework7mIntroduction to R6mGetting Started with R5mCalculations with R12mMaking Your Code Readable4mFunctions and Using the Built-In Help8mReading and Writing Data12mModule 1 Conclusion1m

7 readings

Syllabus10mAbout the Discussion Forums10mGlossary10mLearn More About Flexible Learning Paths10mModule 1 Overview10mModule 1 Readings1hUpdate Your Profile10m

2 practice exercises

Orientation QuizModule 1 Quiz30m

Week2

Week 2

3 hours to complete

Module 2 How Do I Get to Know My Data and Share It with Others?

3 hours to complete

14 videos (Total 104 min), 2 readings, 1 quiz

14 videos

Module 2 Introduction2mIs Data an Asset?5mProperties of a Tidy Dataframe4mData Dictionaries4mGetting to Know Your Data 1: Explore as in Excel4mGetting to Know Your Data 2: Referring to Specific Rows and Columns7mSummary Statistics12mGetting to Know Your Data 3: Summary Statistics for Each Column, and Quick Plots6mFACT Framework: Tell Others About The Results6mR Notebooks11mMarkdown7mKnitting Markdown Files14mDashboards Preview13mModule 2 Conclusion3m

2 readings

Module 2 Overview10mModule 2 Readings10m

1 practice exercise

Module 2 Quiz30m

Week3

Week 3

6 hours to complete

Module 3 How Can I Use Functions to Help with Data Preparation?

6 hours to complete

12 videos (Total 107 min), 2 readings, 2 quizzes

Week4

Week 4

3 hours to complete

Module 4 How Do I Preprocess Data?

3 hours to complete

16 videos (Total 95 min), 4 readings, 1 quiz

16 videos

Module 4 Introduction3mFraming Questions for Actionable Insight7mDataframe Shape: Level of Aggregation3mDataframe: Control Versus Feasibility5mDataframe Shape: Wide Versus Long3mReview of Notebooks and Introduction to dplyr3mSubset Data Using dplyr's Select and Filter Functions7mUseful Operators: %>% and %in%7mUsing dplyr's Mutate, Rename, Relocate, and Distinct Functions10mHandling Missing Values6mData Aggregation and Summary4mPivoting Dataframes Between Wide and Long Shapes6mStacking and Sorting Data7mJoining Data8mModule 4 Conclusion3mGies Online Programs3m

4 readings

Module 4 Overview10mModule 4 Readings40mCongratulations!10mGet Your Course Certificate10m

1 practice exercise

Module 4 Quiz30m

Reviews

4.6

46 reviews

5 stars
71.75%
4 stars
20.33%
3 stars
3.95%
2 stars
1.12%
1 star
2.82%

TOP REVIEWS FROM INTRODUCTION TO BUSINESS ANALYTICS WITH R

by PDDec 14, 2020

This course is well designed for newbies like me and our teachers are super dedicated.

by VGMay 22, 2023

Excellent challenging course. Tough to crack assignments and assessments without hands-on knowledge.

by ETSep 14, 2020

first part was easy to follow and last 2 week courses were too much focused on getting code drilled and not enough on what the code could be used for in real life.

by DRJun 14, 2020

Thank you for helping me in acquiring the knowledge of the analysis using the R studio. I have really got a good understanding of how does this is been applied in an organisation.

View all reviews

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Introduction to Business Analytics with R

About this Course

What you will learn

Skills you will gain