- Level Foundation
- Duration 10 hours
- Course by Wesleyan University
-
Offered by
About
In this course, you will develop and test hypotheses about your data. You will learn a variety of statistical tests, as well as strategies to know how to apply the appropriate one to your specific data and question. Using your choice of two powerful statistical software packages (SAS or Python), you will explore ANOVA, Chi-Square, and Pearson correlation analysis. This course will guide you through basic statistical principles to give you the tools to answer questions you have developed. Throughout the course, you will share your progress with others to gain valuable feedback and provide insight to other learners about their work.Modules
The role of probability in inference
1
Videos
- Lesson 1 - The role of probability in inference
From sample to population?
1
Videos
- Lesson 2 - From sample to population
Steps in hypothesis testing
1
Videos
- Lesson 3 - Steps in hypothesis testing
What is a p value?
1
Videos
- Lesson 4 - What is a p value?
How to choose a statistical test
1
Videos
- Lesson 5 - How to choose a statistical test
Ideas behind ANOVA
1
Videos
- Lesson 6 - Ideas behind ANOVA
Software Setup and Course Supporting Materials
6
Readings
- Choosing SAS or Python
- Getting Started with SAS
- Getting Started with Python
- Course Codebooks
- Course Data Sets
- Uploading Your Own Data to SAS
SAS Lessons
4
Videos
- SAS Lesson 7 - ANOVA: Explanatory variable with 2 levels
- SAS Lesson 8 - ANOVA: Explanatory variables with more than 2 levels
- SAS Lesson 9 - Post hoc tests for ANOVA
- SAS Lesson 10 - ANOVA summary
1
Readings
- SAS Program Code for Video Examples
Python Lessons
4
Videos
- Python Lesson 7 - ANOVA: Explanatory variables with two levels
- Python Lesson 8 - ANOVA: Explanatory variables with more than 2 levels
- Python Lesson 9 - Post hoc tests for ANOVA
- Python Lesson 10 - ANOVA Summary
1
Readings
- Python Program Code for Video Examples
Assignment
1
Peer Review
- Running an analysis of variance
3
Readings
- Getting set up for the assignments
- Tumblr Instructions
- Example: Running an analysis of variance
Ideas behind the Chi Square test of independence
1
Videos
- Lesson 1 - Ideas behind the Chi Square test of independence
SAS Lectures
3
Videos
- SAS Lesson 2 - Chi Square Test of independence in practice
- SAS Lesson 3 - Post hoc tests for Chi Square tests of independence
- SAS Lesson 4 - Chi Square summary
1
Readings
- SAS Program Code for Video Examples
Python Lectures
3
Videos
- Python Lesson 2 - Chi Square test of independence in practice
- Python Lesson 3 - Post hoc tests for Chi Square tests of independence
- Python Lesson 4 - Chi Square summary
1
Readings
- Python Program Code for Video Examples
Assignment
1
Peer Review
- Running a Chi-Square Test of Independence
1
Readings
- Example: Running a Chi-Square Test of Independence
Pearson Correlation
1
Videos
- Lesson 1 - Pearson Correlation
Correlation Example
1
Videos
- Lesson 2 - Correlation Example
Calculating Correlation
1
Peer Review
- Generating a Correlation Coefficient
2
Videos
- SAS Lesson 3 - Calculating Correlation
- Python Lesson 3 - Calculating Correlation
2
Readings
- SAS Program Code for Video Examples
- Python Program Code for Video Examples
SAS Lessons
4
Videos
- SAS Lesson 1 - Defining moderation, a.k.a. statistical interaction
- SAS Lesson 2 - Testing moderation in the context of ANOVA
- SAS Lesson 3 - Testing moderation in the context of chi square
- SAS Lesson 4 - Testing moderation in the context of correlation
1
Readings
- SAS Program Code for Video Examples
Python Lessons
4
Videos
- Python Lesson 1 - Defining moderation, a.k.a. statistical interaction
- Python Lesson 2 - Testing moderation in the context of ANOVA
- Python Lesson 3 - Testing moderation in the context of Chi-Square
- Python Lesson 4 - Testing moderation in the context of correlation
1
Readings
- Python Program Code for Video Examples
But do my findings tell me anything about Causation?
1
Peer Review
- Testing a Potential Moderator
1
Videos
- A Question of Causation (Used with Permission from Annenberg Learner)
Auto Summary
Explore hypothesis testing and statistical analysis in the "Data Analysis Tools" course by Coursera. Ideal for beginners in Data Science & AI, you'll use SAS or Python to master ANOVA, Chi-Square, and Pearson correlation. Engage with peers and enhance your skills over 600 minutes with a Starter subscription.

Jen Rose

Lisa Dierker