Data Analysis Tools
Data Analysis Tools
This course is part of Data Analysis and Interpretation Specialization
Instructors: Jen Rose
47,694 already enrolled
Included with
Ask Coursera
416 reviews
416 reviews
Skills you'll gain
Tools you'll learn
Details to know
See how employees at top companies are mastering in-demand skills
Build your subject-matter expertise
- Learn new concepts from industry experts
- Gain a foundational understanding of a subject or tool
- Develop job-relevant skills with hands-on projects
- Earn a shareable career certificate
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
Earn a career certificate
Add this credential to your LinkedIn profile, resume, or CV. Share it on social media and in your performance review.
Instructors
Offered by
Explore more from Data Analysis
- Status: Free TrialJ
Johns Hopkins University
Course
- Status: Free Trial
Guided Project
- Status: Free TrialU
University of Illinois Urbana-Champaign
Course
Why people choose Coursera for their career
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 Sep 13, 2021
Well-explained lectures. Educate the key concepts with simple examples.
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.
Reviewed on Nov 4, 2016
Found this course to be really nicely balanced... I learnt a lot and did not get bored doing so :-)
Advance your career with an online degree
Earn a degree from world-class universities - 100% online
Frequently asked questions
To access the course materials, assignments and to earn a Certificate, you will need to purchase the Certificate experience when you enroll in a course. 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.
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.
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
Financial aid available,