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Data Analysis Tools

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Data Analysis Tools

This course is part of Data Analysis and Interpretation Specialization

Instructors: Jen Rose

47,632 already enrolled

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4 modules

Gain insight into a topic and learn the fundamentals.

416 reviews

1 week to complete

at 10 hours a week

Flexible schedule

Learn at your own pace

93%

Most learners liked this course

4 modules

Gain insight into a topic and learn the fundamentals.

416 reviews

1 week to complete

at 10 hours a week

Flexible schedule

Learn at your own pace

93%

Most learners liked this course

Skills you'll gain

Tools you'll learn

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Taught in English

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There are 4 modules in this course

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.

Module details

This session starts where the Data Management and Visualization course left off. Now that you have selected a data set and research question, managed your variables of interest and visualized their relationship graphically, we are ready to test those relationships statistically. The first group of videos describe the process of hypothesis testing which you will use throughout this course to test relationships between different kinds of variables (quantitative and categorical). Next, we show you how to test hypotheses in the context of Analysis of Variance (when you have one quantitative variable and one categorical variable). Your task will be to write a program that manages any additional variables you may need and runs and interprets an Analysis of Variance test. Note that if your research question does not include one quantitative variable, you can use one from your data set just to get some practice with the tool. If your research question does not include a categorical variable, you can categorize one that is quantitative.

What's included

14 videos11 readings1 peer review

14 videosTotal 79 minutes

Lesson 1 - The role of probability in inference10 minutes
Lesson 2 - From sample to population6 minutes
Lesson 3 - Steps in hypothesis testing8 minutes
Lesson 4 - What is a p value?6 minutes
Lesson 5 - How to choose a statistical test2 minutes
Lesson 6 - Ideas behind ANOVA10 minutes
SAS Lesson 7 - ANOVA: Explanatory variable with 2 levels7 minutes
SAS Lesson 8 - ANOVA: Explanatory variables with more than 2 levels3 minutes
SAS Lesson 9 - Post hoc tests for ANOVA5 minutes
SAS Lesson 10 - ANOVA summary3 minutes
Python Lesson 7 - ANOVA: Explanatory variables with two levels8 minutes
Python Lesson 8 - ANOVA: Explanatory variables with more than 2 levels3 minutes
Python Lesson 9 - Post hoc tests for ANOVA6 minutes
Python Lesson 10 - ANOVA Summary3 minutes

11 readingsTotal 110 minutes

Choosing SAS or Python10 minutes
Getting Started with SAS10 minutes
Getting Started with Python10 minutes
Course Codebooks10 minutes
Course Data Sets10 minutes
Uploading Your Own Data to SAS10 minutes
SAS Program Code for Video Examples10 minutes
Python Program Code for Video Examples10 minutes
Getting set up for the assignments10 minutes
Tumblr Instructions10 minutes
Example: Running an analysis of variance10 minutes

1 peer reviewTotal 60 minutes

Running an analysis of variance60 minutes

This session shows you how to test hypotheses in the context of a Chi-Square Test of Independence (when you have two categorical variables). Your task will be to write a program that manages any additional variables you may need and runs and interprets a Chi-Square Test of Independence. Note that if your research question only includes quantitative variables, you can categorize those just to get some practice with the tool.

What's included

7 videos3 readings1 peer review

7 videosTotal 48 minutes

Lesson 1 - Ideas behind the Chi Square test of independence11 minutes
SAS Lesson 2 - Chi Square Test of independence in practice6 minutes
SAS Lesson 3 - Post hoc tests for Chi Square tests of independence11 minutes
SAS Lesson 4 - Chi Square summary2 minutes
Python Lesson 2 - Chi Square test of independence in practice8 minutes
Python Lesson 3 - Post hoc tests for Chi Square tests of independence9 minutes
Python Lesson 4 - Chi Square summary2 minutes

3 readingsTotal 30 minutes

SAS Program Code for Video Examples10 minutes
Python Program Code for Video Examples10 minutes
Example: Running a Chi-Square Test of Independence10 minutes

1 peer reviewTotal 60 minutes

Running a Chi-Square Test of Independence 60 minutes

This session shows you how to test hypotheses in the context of a Pearson Correlation (when you have two quantitative variables). Your task will be to write a program that manages any additional variables you may need and runs and interprets a correlation coefficient. Note that if your research question only includes categorical variables, you can choose other variables from your data set just to get some practice with the tool.

What's included

4 videos2 readings1 peer review

4 videosTotal 18 minutes

Lesson 1 - Pearson Correlation5 minutes
Lesson 2 - Correlation Example4 minutes
SAS Lesson 3 - Calculating Correlation5 minutes
Python Lesson 3 - Calculating Correlation5 minutes

2 readingsTotal 20 minutes

SAS Program Code for Video Examples10 minutes
Python Program Code for Video Examples10 minutes

1 peer reviewTotal 60 minutes

Generating a Correlation Coefficient60 minutes

In this session, we will discuss the basic concept of statistical interaction (also known as moderation). In statistics, moderation occurs when the relationship between two variables depends on a third variable. The effect of a moderating variable is often characterized statistically as an interaction; that is, a third variable that affects the direction and/or strength of the relation between your explanatory (X) and response (Y) variable. Your task will be to test your own research question in the context of one or more potential moderating variables.

What's included

9 videos2 readings1 peer review

9 videosTotal 51 minutes

SAS Lesson 1 - Defining moderation, a.k.a. statistical interaction4 minutes
SAS Lesson 2 - Testing moderation in the context of ANOVA4 minutes
SAS Lesson 3 - Testing moderation in the context of chi square7 minutes
SAS Lesson 4 - Testing moderation in the context of correlation4 minutes
Python Lesson 1 - Defining moderation, a.k.a. statistical interaction5 minutes
Python Lesson 2 - Testing moderation in the context of ANOVA4 minutes
Python Lesson 3 - Testing moderation in the context of Chi-Square5 minutes
Python Lesson 4 - Testing moderation in the context of correlation4 minutes
A Question of Causation (Used with Permission from Annenberg Learner)14 minutes

2 readingsTotal 20 minutes

SAS Program Code for Video Examples10 minutes
Python Program Code for Video Examples10 minutes

1 peer reviewTotal 60 minutes

Testing a Potential Moderator60 minutes

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Instructors

Instructor ratings

(19 ratings)

Jen Rose

Wesleyan University

4 Courses95,629 learners

Offered by

Wesleyan University

Learner reviews

5 stars
68.50%
4 stars
21.39%
3 stars
5.76%
2 stars
2.40%
1 star
1.92%

Showing 3 of 416

Reviewed on Dec 16, 2015

Quick, easy and Practical way to learning statistical programming and data analysis with SAS/ Python.

Reviewed on Feb 9, 2017

This was good module. It covers the basics of inferential statistical techniques along with its application using SAS/Python. I would definitely recommend to take up if you are a beginner.

Reviewed on Sep 19, 2020

The best Data analysis course I have taken so far. Concepts are explained nicely. Interesting peer review assignments. Excellent learning experience.

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