This course is part of the Data Analysis and Interpretation Specialization

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Jen Rose +1 more instructor

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Data Analysis and Interpretation SpecializationWesleyan University

About this Course

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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.

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Course 2 of 5 in the

Data Analysis and Interpretation Specialization

Approx. 10 hours to complete

English

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Skills you will gain

Chi-Squared (Chi-2) Distribution
Data Analysis
Statistical Hypothesis Testing
Analysis Of Variance (ANOVA)

Flexible deadlines

Reset deadlines in accordance to your schedule.

Shareable Certificate

Earn a Certificate upon completion

100% online

Start instantly and learn at your own schedule.

Coursera Labs

Includes hands on learning projects.

Learn more about Coursera Labs

Course 2 of 5 in the

Data Analysis and Interpretation Specialization

Approx. 10 hours to complete

English

Could your company benefit from training employees on in-demand skills?

Try Coursera for Business

Instructors

Instructor rating

4.64/5 (15 Ratings)

Jen Rose

Lisa Dierker

Offered by

Wesleyan University

Wesleyan University, founded in 1831, is a diverse, energetic liberal arts community where critical thinking and practical idealism go hand in hand. With our distinctive scholar-teacher culture, creative programming, and commitment to interdisciplinary learning, Wesleyan challenges students to explore new ideas and change the world. Our graduates go on to lead and innovate in a wide variety of industries, including government, business, entertainment, and science.

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Syllabus - What you will learn from this course

Content Rating93%(1,468 ratings)

Week1

Week 1

4 hours to complete

Hypothesis Testing and ANOVA

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.

4 hours to complete

14 videos (Total 79 min), 11 readings, 1 quiz

14 videos

Lesson 1 - The role of probability in inference10mLesson 2 - From sample to population5mLesson 3 - Steps in hypothesis testing7mLesson 4 - What is a p value?5mLesson 5 - How to choose a statistical test1mLesson 6 - Ideas behind ANOVA9mSAS Lesson 7 - ANOVA: Explanatory variable with 2 levels6mSAS Lesson 8 - ANOVA: Explanatory variables with more than 2 levels2mSAS Lesson 9 - Post hoc tests for ANOVA5mSAS Lesson 10 - ANOVA summary2mPython Lesson 7 - ANOVA: Explanatory variables with two levels8mPython Lesson 8 - ANOVA: Explanatory variables with more than 2 levels3mPython Lesson 9 - Post hoc tests for ANOVA5mPython Lesson 10 - ANOVA Summary3m

11 readings

Choosing SAS or Python10mGetting Started with SAS10mGetting Started with Python10mCourse Codebooks10mCourse Data Sets10mUploading Your Own Data to SAS10mSAS Program Code for Video Examples10mPython Program Code for Video Examples10mGetting set up for the assignments10mTumblr Instructions10mExample: Running an analysis of variance10m

Week2

Week 2

2 hours to complete

Chi Square Test of Independence

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.

2 hours to complete

7 videos (Total 48 min), 3 readings, 1 quiz

7 videos

Lesson 1 - Ideas behind the Chi Square test of independence11mSAS Lesson 2 - Chi Square Test of independence in practice5mSAS Lesson 3 - Post hoc tests for Chi Square tests of independence10mSAS Lesson 4 - Chi Square summary1mPython Lesson 2 - Chi Square test of independence in practice8mPython Lesson 3 - Post hoc tests for Chi Square tests of independence8mPython Lesson 4 - Chi Square summary1m

3 readings

SAS Program Code for Video Examples10mPython Program Code for Video Examples10mExample: Running a Chi-Square Test of Independence10m

Week3

Week 3

2 hours to complete

Pearson Correlation

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.

2 hours to complete

4 videos (Total 18 min), 2 readings, 1 quiz

Week4

Week 4

2 hours to complete

Exploring Statistical Interactions

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.

2 hours to complete

9 videos (Total 51 min), 2 readings, 1 quiz

9 videos

SAS Lesson 1 - Defining moderation, a.k.a. statistical interaction4mSAS Lesson 2 - Testing moderation in the context of ANOVA4mSAS Lesson 3 - Testing moderation in the context of chi square6mSAS Lesson 4 - Testing moderation in the context of correlation4mPython Lesson 1 - Defining moderation, a.k.a. statistical interaction4mPython Lesson 2 - Testing moderation in the context of ANOVA3mPython Lesson 3 - Testing moderation in the context of Chi-Square4mPython Lesson 4 - Testing moderation in the context of correlation4mA Question of Causation (Used with Permission from Annenberg Learner)14m

2 readings

SAS Program Code for Video Examples10mPython Program Code for Video Examples10m

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95 reviews

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TOP REVIEWS FROM DATA ANALYSIS TOOLS

by AKFeb 22, 2016

It's one of the best course for understanding all the statistical tools , used for data sciences. Thanks to entire team for making such a wonderful course content

by VSDec 16, 2015

I am just starting. But i like how peer review is made the core model of the entire specialization though :)

by STAug 6, 2017

Great information presented very clearly with many learning aids provided.

by DLDec 19, 2015

Again, with no formal SAS training and minimal statistics background. I found taking the first course and then this course - week after week my knowledge grew in a consistent and organized fashion.

View all reviews

About the Data Analysis and Interpretation Specialization

Learn SAS or Python programming, expand your knowledge of analytical methods and applications, and conduct original research to inform complex decisions.

The Data Analysis and Interpretation Specialization takes you from data novice to data expert in just four project-based courses. You will apply basic data science tools, including data management and visualization, modeling, and machine learning using your choice of either SAS or Python, including pandas and Scikit-learn. Throughout the Specialization, you will analyze a research question of your choice and summarize your insights. In the Capstone Project, you will use real data to address an important issue in society, and report your findings in a professional-quality report. You will have the opportunity to work with our industry partners, DRIVENDATA and The Connection. Help DRIVENDATA solve some of the world's biggest social challenges by joining one of their competitions, or help The Connection better understand recidivism risk for people on parole in substance use treatment. Regular feedback from peers will provide you a chance to reshape your question. This Specialization is designed to help you whether you are considering a career in data, work in a context where supervisors are looking to you for data insights, or you just have some burning questions you want to explore. No prior experience is required. By the end you will have mastered statistical methods to conduct original research to inform complex decisions.

Frequently Asked Questions

When will I have access to the lectures and assignments?
Access to lectures and assignments depends on your type of enrollment. If you take a course in audit mode, you will be able to see most course materials for free. To access graded assignments and to earn a Certificate, you will need to purchase the Certificate experience, during or after your audit. If you don't see the audit option:
The course may not offer an audit option. You can try a Free Trial instead, or apply for Financial Aid.
The course may offer 'Full Course, No Certificate' instead. This option lets you see all course materials, submit required assessments, and get a final grade. This also means that you will not be able to purchase a Certificate experience.
What will I get if I subscribe to this Specialization?
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.
Is financial aid available?
Yes. In select learning programs, you can apply for financial aid or a scholarship if you can’t afford the enrollment fee. If fin aid or scholarship is available for your learning program selection, you’ll find a link to apply on the description page.

More questions? Visit the Learner Help Center.

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