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#### 100% online

Start instantly and learn at your own schedule.

#### Approx. 19 hours to complete

Suggested: 4-6 hours/week...

#### English

Subtitles: English

#### 100% online

Start instantly and learn at your own schedule.

#### Approx. 19 hours to complete

Suggested: 4-6 hours/week...

#### English

Subtitles: English

### Syllabus - What you will learn from this course

Week
1
8 hours to complete

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

14 videos (Total 86 min), 10 readings, 3 quizzes
14 videos
Rattle Installation Guidelines for Windows6m
Rattle Installation Guideline for MacOS11m
Rattle Interface for Windows9m
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 26m
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 Quiz10m
Week
2
6 hours to complete

## Module 2: Dating with Data

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
6 hours to complete

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

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
5 hours to complete

## Module 4: Curse of Dimensionality

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
4.3
7 Reviews

### Top reviews from Data Modeling and Regression Analysis in Business

By ASAug 11th 2019

The course was easy to understand and fun to practice at home which made it exciting and useful at the same time.

## Start working towards your Master's degree

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

## About University of Illinois at Urbana-Champaign

The University of Illinois at Urbana-Champaign is a world leader in research, teaching and public engagement, distinguished by the breadth of its programs, broad academic excellence, and internationally renowned faculty and alumni. Illinois serves the world by creating knowledge, preparing students for lives of impact, and finding solutions to critical societal needs. ...