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#### 100% online

Start instantly and learn at your own schedule.

#### English

Subtitles: English

#### Shareable Certificate

Earn a Certificate upon completion

#### 100% online

Start instantly and learn at your own schedule.

#### English

Subtitles: English

## Start working towards your Master's degree

This course is part of the 100% online Master of Business Administration (iMBA) from University of Illinois at Urbana-Champaign. If you are admitted to the full program, your courses count towards your degree learning.

Week
1

## Week 1

8 hours to complete

## Module 0: Get Ready & Module 1: Introduction to Analytics and Evolution of Statistical Inference

8 hours to complete
14 videos (Total 98 min), 10 readings, 3 quizzes
14 videos
Rattle Installation Guidelines for Windows11m
Rattle Installation Guideline for MacOS19m
Overview of Rattle 7m
Lecture 1-1: Introduction to Analytics and Evolution of Statistical Inference3m
Lecture 1-2: From Data to Decisions9m
Lecture 1-3: The Evolution of Intelligent Machines3m
Lecture 1-5-1: Examples of Paradigms – Part 14m
Lecture 1-5-2: Examples of Paradigms – Part 27m
Lecture 1-6: Introduction to Rattle4m
Lecture 1-7: Importing Datasets in Rattle8m
Lecture 1-8: Plotting Data and Creating Graphs in Rattle7m
Lecture 1-9: Rattle Practice and Summary3m
Syllabus30m
Glossary30m
Brand Descriptions30m
Module 0 Agenda5m
Rattle Tutorials (Interface, Windows, Mac)30m
Module 1 Overview20m
Module 1 Readings, Data Sets, and Slides1h
Module 1 Peer Review Assignment Answer Key20m
2 practice exercises
Orientation Quiz30m
Week
2

## Week 2

6 hours to complete

## Module 2: Dating with Data

6 hours to complete
8 videos (Total 63 min), 3 readings, 3 quizzes
8 videos
Lecture 2-2: Developing and Estimating a Model3m
Lecture 2-3: Univariate and Bivariate Plots8m
Lecture 2-4: Bivariate Correlation5m
Lecture 2-5-1: Estimating With Simple Models - Part 18m
Lecture 2-5-2: Estimating With Simple Models - Part 210m
Lecture 2-6: Improving the Model12m
Lecture 2-7: Model Improvement Practice and Summary8m
Module 2 Overview20m
Module 2 Readings, Data Sets, and Slides1h
Module 2 Peer Review Assignment Answer Key20m
2 practice exercises
Module 2 Practice Problems40m
Week
3

## Week 3

6 hours to complete

## Module 3: Model Development and Testing with Holdout Data

6 hours to complete
8 videos (Total 66 min), 3 readings, 4 quizzes
8 videos
Lecture 3-2: Introducing Root Mean Square Error14m
Lecture 3-3: Variable Selection8m
Lecture 3-4: Variable Selection with R Scripts8m
Lecture 3-5: Introduction to Mallow's CP6m
Lecture 3-6-1: Modeling Example – Part 18m
Lecture 3-6-2: Modeling Example – Part 29m
Lecture 3-7: Example Wrap-Up and Summary6m
Module 3 Overview20m
Module 3 Readings, Data Sets, and Slides1h
Module 3 Peer Review Assignment Answer Key20m
3 practice exercises
Module 3 Practice Problems (A)40m
Module 3 Practice Problems (B)20m
Week
4

## Week 4

5 hours to complete

## Module 4: Curse of Dimensionality

5 hours to complete
7 videos (Total 67 min), 3 readings, 3 quizzes
7 videos
Lecture 4-2: Curse of Dimensionality9m
Lecture 4-3: Limitations of Scatterplots10m
Lecture 4-4: Principle Component Analysis10m
Lecture 4-5: Principle Component Analysis in Rattle9m
Lecture 4-6: Principle Component Analysis in Rattle With Regression10m
Lecture 4-7: Principle Component Analysis Exercise and Summary8m
Module 4 Overview20m
Module 4 Readings, Data Sets, and Slides1h
Module 4 Peer Review Assignment Answer Key20m
2 practice exercises
Module 4 Practice Problems