About this Course

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Learner Career Outcomes

40%

started a new career after completing these courses

27%

got a tangible career benefit from this course

11%

got a pay increase or promotion
Shareable Certificate
Earn a Certificate upon completion
100% online
Start instantly and learn at your own schedule.
Flexible deadlines
Reset deadlines in accordance to your schedule.
Approx. 17 hours to complete
English
Subtitles: English

Skills you will gain

Log–Log PlotInteraction (Statistics)Linear RegressionRegression Analysis

Learner Career Outcomes

40%

started a new career after completing these courses

27%

got a tangible career benefit from this course

11%

got a pay increase or promotion
Shareable Certificate
Earn a Certificate upon completion
100% online
Start instantly and learn at your own schedule.
Flexible deadlines
Reset deadlines in accordance to your schedule.
Approx. 17 hours to complete
English
Subtitles: English

Offered by

Rice University logo

Rice University

Syllabus - What you will learn from this course

Content RatingThumbs Up98%(2,926 ratings)Info
Week
1

Week 1

5 hours to complete

Regression Analysis: An Introduction

5 hours to complete
7 videos (Total 65 min), 13 readings, 7 quizzes
7 videos
Introducing Linear Regression: Building a Model8m
Introducing Linear Regression: Estimating the Model10m
Introducing Linear Regression: Interpreting the Model12m
Introducing Linear Regression: Predictions using the Model9m
Errors, Residuals and R-square14m
Normality Assumption on the Errors7m
13 readings
Course FAQs10m
Pre-Course Survey10m
Toy Sales.xlsx10m
Slides, Lesson 110m
Toy Sales.xlsx10m
Slides, Lesson 210m
Toy Sales.xlsx10m
Slides, Lesson 310m
Toy Sales.xlsx10m
Slides, Lesson 410m
Toy Sales2.xlsx10m
Slides, Lesson 510m
Slides, Lesson 610m
7 practice exercises
Practice Quiz4m
Practice Quiz4m
Practice Quiz4m
Practice Quiz4m
Practice Quiz4m
Practice Quiz4m
Regression Analysis: An Introduction1h
Week
2

Week 2

5 hours to complete

Regression Analysis: Hypothesis Testing and Goodness of Fit

5 hours to complete
6 videos (Total 74 min), 15 readings, 7 quizzes
6 videos
Hypothesis Testing in a Linear Regression: using 'p-values'7m
Hypothesis Testing in a Linear Regression: Confidence Intervals9m
A Regression Application Using Housing Data15m
'Goodness of Fit' measures: R-square and Adjusted R-square11m
Categorical Variables in a Regression: Dummy Variables18m
15 readings
Toy Sales.xlsx10m
Toy Sales (with regression).xlsx10m
Toy Sales (with regression, t-statistic).xlsx10m
Toy Sales (with regression, t-cutoff)10m
Slides, Lesson 110m
Toy Sales.xlsx10m
Slides, Lesson 210m
Toy Sales.xlsx10m
Slides, Lesson 310m
Home Prices.xlsx10m
Slides, Lesson 410m
Home Prices.xlsx10m
Slides, Lesson 510m
deliveries1.xlsx10m
Slides, Lesson 610m
7 practice exercises
Practice Quiz4m
Practice Quiz4m
Practice Quiz4m
Practice Quiz4m
Practice Quiz4m
Practice Quiz4m
Regression Analysis: Hypothesis Testing and Goodness of Fit1h
Week
3

Week 3

4 hours to complete

Regression Analysis: Dummy Variables, Multicollinearity

4 hours to complete
6 videos (Total 62 min), 12 readings, 7 quizzes
6 videos
Dummy Variable Regression: Interpretation of Coefficients6m
Dummy Variable Regression: Estimation, Interpretation of p-values17m
A Regression Application Using Refrigerator data12m
A Regression Application Using Refrigerator data (continued...)7m
Multicollinearity in Regression Models: What it is and How to Deal with it10m
12 readings
deliveries2.xlsx10m
Slides, Lesson 110m
Slides, Lesson 210m
deliveries2.xlsx10m
deliveries2 (for prediction).xlsx10m
Slides, Lesson 310m
Refrigerators.xlsx10m
Slides, Lesson 410m
Cars.xlsx10m
Slides, Lesson 510m
Cars.xlsx10m
Slides, Lesson 610m
7 practice exercises
Practice Quiz4m
Practice Quiz4m
Practice Quiz4m
Practice Quiz4m
Practice Quiz4m
Practice Quiz4m
Regression Analysis: Model Application and Multicollinearity20m
Week
4

Week 4

4 hours to complete

Regression Analysis: Various Extensions

4 hours to complete
7 videos (Total 63 min), 11 readings, 7 quizzes
7 videos
Building Confidence Bounds for Prediction Using a Regression Model9m
Interaction Effects in a Regression: An Introduction6m
Interaction Effects in a Regression: An Application8m
Transformation of Variables in a Regression: Improving Linearity7m
The Log-Log and the Semi-Log Regression Models17m
Course 4 Recap1m
11 readings
Height and Weight.xlsx10m
Slides, Lesson 110m
Height and Weight.xlsx10m
Slides, Lesson 210m
Slides, Lesson 310m
Height and Weight.xlsx10m
Slides, Lesson 410m
Slides, Lesson 510m
Cocoa.xlsx10m
Slides, Lesson 610m
End-of-Course Survey10m
7 practice exercises
Practice Quiz6m
Practice Quiz4m
Practice Quiz4m
Practice Quiz4m
Practice Quiz6m
Practice Quiz6m
Regression Analysis: Various Extensions22m

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About the Business Statistics and Analysis Specialization

The Business Statistics and Analysis Specialization is designed to equip you with a basic understanding of business data analysis tools and techniques. You’ll master essential spreadsheet functions, build descriptive business data measures, and develop your aptitude for data modeling. You’ll also explore basic probability concepts, including measuring and modeling uncertainty, and you’ll use various data distributions, along with the Linear Regression Model, to analyze and inform business decisions. The Specialization culminates with a Capstone Project in which you’ll apply the skills and knowledge you’ve gained to an actual business problem. To successfully complete all course assignments, students must have access to a Windows version of Microsoft Excel 2010 or later. To see an overview video for this Specialization, click here!...
Business Statistics and Analysis

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  • When you enroll in the course, you get access to all of the courses in the Specialization, and you earn a certificate when you complete the work. 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.

  • If you subscribed, you get a 7-day free trial during which you can cancel at no penalty. After that, we don’t give refunds, but you can cancel your subscription at any time. See our full refund policy.

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