About this Course

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Flexible deadlines

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Approx. 11 hours to complete

Suggested: 7 hours/week...

English

Subtitles: English

Skills you will gain

Business AnalyticsR Programming

100% online

Start instantly and learn at your own schedule.

Flexible deadlines

Reset deadlines in accordance to your schedule.

Approx. 11 hours to complete

Suggested: 7 hours/week...

English

Subtitles: English

Offered by

University of Illinois at Urbana-Champaign logo

University of Illinois at Urbana-Champaign

Syllabus - What you will learn from this course

Week
1

Week 1

4 hours to complete

Course Overview and Module 1 Introduction to Business Analytics and R

4 hours to complete
18 videos (Total 112 min), 4 readings, 2 quizzes
18 videos
Meet Prof Ron Guymon2m
Meet Prof Ashish Khandelwal50s
Introduction to Business Analytics and R6m
Lesson 1-1.1: Overview of Business Analytics3m
Lesson 1-1.2: Examples of Business Analytics5m
Lesson 1-1.3: FACT Framework7m
Lesson 1-2.1: Introduction to R6m
Lesson 1-2.2: Getting Started with R5m
Lesson 1-2.3: Calculations with R12m
Lesson 1-2.4: Making Your Code Readable4m
Lesson 1-3.1: Functions and Using the Built-In Help8m
Lesson 1-3.2: Reading and Writing Data12m
Lesson 1-3.3: Getting to Know Your Data 14m
Lesson 1-3.4: Getting to Know Your Data 27m
Lesson 1-3.5: Getting to Know Your Data 35m
Lesson 1-3.6: Introduction to Other Data Types12m
Module 1 Conclusion1m
4 readings
Syllabus10m
About the Discussion Forums10m
Module 1 Overview10m
Module 1 Readings1h
2 practice exercises
Orientation Quiz
Module 1 Quiz30m
Week
2

Week 2

3 hours to complete

Module 2 Assembling Data

3 hours to complete
14 videos (Total 111 min), 2 readings, 1 quiz
14 videos
Lesson 2-1.1: Framing a Question6m
Lesson 2-1.2: Assembling Data7m
Lesson 2-1.3: Calculate the Results9m
Lesson 2-2.1: Data Types6m
Lesson 2-2.2: Packages9m
Lesson 2-2.3: Creating Date Types8m
Lesson 2-2.4: Calculations with Dates9m
Lesson 2-2.5: Factors9m
Lesson 2-2.6: Logical Type and Relational Operators11m
Lesson 2-3.1: Conditional Statements7m
Lesson 2-3.2: Stacking Data7m
Lesson 2-3.3: Loops8m
Module 2 Conclusion1m
2 readings
Module 2 Overview10m
Module 2 Readings10m
1 practice exercise
Module 2 Quiz30m
Week
3

Week 3

4 hours to complete

Module 3 Data Quality and Data Transformation

4 hours to complete
13 videos (Total 65 min), 2 readings, 1 quiz
13 videos
Lesson 3-1: Data Quality4m
Lesson 3-2.1: Data Structure based on the Business Problem Part 15m
Lesson 3-2.2: Data Structure based on the Business Problem Part 25m
Lesson 3-2.3: Subset Data using Filter and Select functions5m
Lesson 3-2.4: Useful Operators for Data Manipulation5m
Lesson 3-2.5: Creating New Variables using Mutate function3m
Lesson 3-2.6: Data Aggregation using Summarize and Group_By functions5m
Lesson 3-2.7: Handling Missing Values6m
Lesson 3-2.8: Data Join8m
Lesson 3-2.9: Long vs Wide Format for Data5m
Lesson 3-2.10: Manipulating Strings7m
Module 3 Conclusion55s
2 readings
Module 3 Overview10m
Module 3 Readings2h
1 practice exercise
Module 3 Quiz30m
Week
4

Week 4

4 hours to complete

Module 4 Exploratory Data Visualization using R

4 hours to complete
14 videos (Total 53 min), 2 readings, 2 quizzes
14 videos
Lesson 4-1: What to Explore in the Data?2m
Lesson 4-2: Univariate and Bivariate Exploration2m
Lesson 4-3.1: Introduction to the ggplot2 Package3m
Lesson 4-3.2: Introduction to ggplot Syntax4m
Leson 4-4.1: Univariate Exploration of a Numeric Variable5m
Lesson 4-4.2: Univariate Exploration of a Categorical Variable4m
Lesson 4-5.1: Visualizing Relationship between two Numeric Variables4m
Lesson 4-5.2: Visualizing Relationship between a Numeric and a Categorical Variable5m
Lesson 4-5.3: Visualizing Relationship between two Categorical Variables5m
Lesson 4-6: Multidimensional Charts6m
Lesson 4-7: Introduction to ggplot Builder7m
Module 4 Conclusion40s
Course Conclusion1m
2 readings
Module 4 Overview10m
Module 4 Readings40m
1 practice exercise
Module 4 Graded Quiz30m

Frequently Asked Questions

  • Once you enroll for a Certificate, you’ll have access to all videos, quizzes, and programming assignments (if applicable). Peer review assignments can only be submitted and reviewed once your session has begun. If you choose to explore the course without purchasing, you may not be able to access certain assignments.

  • When you purchase a Certificate you get access to all course materials, including graded assignments. Upon completing the course, your electronic Certificate will be added to your Accomplishments page - from there, you can print your Certificate or add it to your LinkedIn profile. If you only want to read and view the course content, you can audit the course for free.

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