Data Analysis Tools

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Data Analysis Tools

This course is part of Data Analysis and Interpretation Specialization

Instructors: Jen Rose

47,478 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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This course is part of the Data Analysis and Interpretation Specialization

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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.

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 videos Total 79 minutes

Lesson 1 - The role of probability in inference 10 minutes
Lesson 2 - From sample to population 6 minutes
Lesson 3 - Steps in hypothesis testing 8 minutes
Lesson 4 - What is a p value? 6 minutes
Lesson 5 - How to choose a statistical test 2 minutes
Lesson 6 - Ideas behind ANOVA 10 minutes
SAS Lesson 7 - ANOVA: Explanatory variable with 2 levels 7 minutes
SAS Lesson 8 - ANOVA: Explanatory variables with more than 2 levels 3 minutes
SAS Lesson 9 - Post hoc tests for ANOVA 5 minutes
SAS Lesson 10 - ANOVA summary 3 minutes
Python Lesson 7 - ANOVA: Explanatory variables with two levels 8 minutes
Python Lesson 8 - ANOVA: Explanatory variables with more than 2 levels 3 minutes
Python Lesson 9 - Post hoc tests for ANOVA 6 minutes
Python Lesson 10 - ANOVA Summary 3 minutes

11 readings Total 110 minutes

Choosing SAS or Python 10 minutes
Getting Started with SAS 10 minutes
Getting Started with Python 10 minutes
Course Codebooks 10 minutes
Course Data Sets 10 minutes
Uploading Your Own Data to SAS 10 minutes
SAS Program Code for Video Examples 10 minutes
Python Program Code for Video Examples 10 minutes
Getting set up for the assignments 10 minutes
Tumblr Instructions 10 minutes
Example: Running an analysis of variance 10 minutes

1 peer review Total 60 minutes

Running an analysis of variance 60 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 videos Total 48 minutes

Lesson 1 - Ideas behind the Chi Square test of independence 11 minutes
SAS Lesson 2 - Chi Square Test of independence in practice 6 minutes
SAS Lesson 3 - Post hoc tests for Chi Square tests of independence 11 minutes
SAS Lesson 4 - Chi Square summary 2 minutes
Python Lesson 2 - Chi Square test of independence in practice 8 minutes
Python Lesson 3 - Post hoc tests for Chi Square tests of independence 9 minutes
Python Lesson 4 - Chi Square summary 2 minutes

3 readings Total 30 minutes

SAS Program Code for Video Examples 10 minutes
Python Program Code for Video Examples 10 minutes
Example: Running a Chi-Square Test of Independence 10 minutes

1 peer review Total 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 videos Total 18 minutes

Lesson 1 - Pearson Correlation 5 minutes
Lesson 2 - Correlation Example 4 minutes
SAS Lesson 3 - Calculating Correlation 5 minutes
Python Lesson 3 - Calculating Correlation 5 minutes

2 readings Total 20 minutes

SAS Program Code for Video Examples 10 minutes
Python Program Code for Video Examples 10 minutes

1 peer review Total 60 minutes

Generating a Correlation Coefficient 60 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 videos Total 51 minutes

SAS Lesson 1 - Defining moderation, a.k.a. statistical interaction 4 minutes
SAS Lesson 2 - Testing moderation in the context of ANOVA 4 minutes
SAS Lesson 3 - Testing moderation in the context of chi square 7 minutes
SAS Lesson 4 - Testing moderation in the context of correlation 4 minutes
Python Lesson 1 - Defining moderation, a.k.a. statistical interaction 5 minutes
Python Lesson 2 - Testing moderation in the context of ANOVA 4 minutes
Python Lesson 3 - Testing moderation in the context of Chi-Square 5 minutes
Python Lesson 4 - Testing moderation in the context of correlation 4 minutes
A Question of Causation (Used with Permission from Annenberg Learner) 14 minutes

2 readings Total 20 minutes

SAS Program Code for Video Examples 10 minutes
Python Program Code for Video Examples 10 minutes

1 peer review Total 60 minutes

Testing a Potential Moderator 60 minutes

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Instructors

Instructor ratings

(19 ratings)

Jen Rose

Wesleyan University

4 Courses 95,286 learners

Offered by

Wesleyan University

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Reviewed on Sep 13, 2021

Well-explained lectures. Educate the key concepts with simple examples.

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 Nov 4, 2016

Found this course to be really nicely balanced... I learnt a lot and did not get bored doing so :-)

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