Data Analysis Tools

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Data Analysis Tools

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Beschreibung

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About 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.

Created by:  Wesleyan Universit…

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When you enroll for courses through Coursera you get to choose for a paid plan or for a free plan

  • Free plan: No certicification and/or audit only. You will have access to all course materials except graded items.
  • Paid plan: Commit to earning a Certificate—it's a trusted, shareable way to showcase your new skills.

About 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.

Created by:  Wesleyan University
  • Taught by:  Jen Rose, Research Professor

    Psychology
  • Taught by:  Lisa Dierker, Professor

    Psychology
Basic Info Course 2 of 5 in the Data Analysis and Interpretation Specialization Language English How To Pass Pass all graded assignments to complete the course. User Ratings 4.5 stars Average User Rating 4.5See what learners said Coursework

Each course is like an interactive textbook, featuring pre-recorded videos, quizzes and projects.

Help from your peers

Connect with thousands of other learners and debate ideas, discuss course material, and get help mastering concepts.

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Earn official recognition for your work, and share your success with friends, colleagues, and employers.

Wesleyan University At Wesleyan, distinguished scholar-teachers work closely with students, taking advantage of fluidity among disciplines to explore the world with a variety of tools. The university seeks to build a diverse, energetic community of students, faculty, and staff who think critically and creatively and who value independence of mind and generosity of spirit.

Syllabus


WEEK 1


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.


14 videos, 11 readings expand


  1. Video: Lesson 1 - The role of probability in inference
  2. Video: Lesson 2 - From sample to population
  3. Video: Lesson 3 - Steps in hypothesis testing
  4. Video: Lesson 4 - What is a p value?
  5. Video: Lesson 5 - How to choose a statistical test
  6. Video: Lesson 6 - Ideas behind ANOVA
  7. Reading: Choosing SAS or Python
  8. Reading: Getting Started with SAS
  9. Reading: Getting Started with Python
  10. Reading: Course Codebooks
  11. Reading: Course Data Sets
  12. Reading: Uploading Your Own Data to SAS
  13. Reading: SAS Program Code for Video Examples
  14. Video: SAS Lesson 7 - ANOVA: Explanatory variable with 2 levels
  15. Video: SAS Lesson 8 - ANOVA: Explanatory variables with more than 2 levels
  16. Video: SAS Lesson 9 - Post hoc tests for ANOVA
  17. Video: SAS Lesson 10 - ANOVA summary
  18. Reading: Python Program Code for Video Examples
  19. Video: Python Lesson 7 - ANOVA: Explanatory variables with two levels
  20. Video: Python Lesson 8 - ANOVA: Explanatory variables with more than 2 levels
  21. Video: Python Lesson 9 - Post hoc tests for ANOVA
  22. Video: Python Lesson 10 - ANOVA Summary
  23. Reading: Getting set up for the assignments
  24. Reading: Tumblr Instructions
  25. Reading: Example: Running an analysis of variance

Graded: Running an analysis of variance

WEEK 2


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.


7 videos, 3 readings expand


  1. Video: Lesson 1 - Ideas behind the Chi Square test of independence
  2. Reading: SAS Program Code for Video Examples
  3. Video: SAS Lesson 2 - Chi Square Test of independence in practice
  4. Video: SAS Lesson 3 - Post hoc tests for Chi Square tests of independence
  5. Video: SAS Lesson 4 - Chi Square summary
  6. Reading: Python Program Code for Video Examples
  7. Video: Python Lesson 2 - Chi Square test of independence in practice
  8. Video: Python Lesson 3 - Post hoc tests for Chi Square tests of independence
  9. Video: Python Lesson 4 - Chi Square summary
  10. Reading: Example: Running a Chi-Square Test of Independence

Graded: Running a Chi-Square Test of Independence

WEEK 3


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.


4 videos, 2 readings expand


  1. Video: Lesson 1 - Pearson Correlation
  2. Video: Lesson 2 - Correlation Example
  3. Reading: SAS Program Code for Video Examples
  4. Video: SAS Lesson 3 - Calculating Correlation
  5. Reading: Python Program Code for Video Examples
  6. Video: Python Lesson 3 - Calculating Correlation

Graded: Generating a Correlation Coefficient

WEEK 4


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.


9 videos, 2 readings expand


  1. Reading: SAS Program Code for Video Examples
  2. Video: SAS Lesson 1 - Defining moderation, a.k.a. statistical interaction
  3. Video: SAS Lesson 2 - Testing moderation in the context of ANOVA
  4. Video: SAS Lesson 3 - Testing moderation in the context of chi square
  5. Video: SAS Lesson 4 - Testing moderation in the context of correlation
  6. Video: Python Lesson 1 - Defining moderation, a.k.a. statistical interaction
  7. Video: Python Lesson 2 - Testing moderation in the context of ANOVA
  8. Video: Python Lesson 3 - Testing moderation in the context of Chi-Square
  9. Video: Python Lesson 4 - Testing moderation in the context of correlation
  10. Reading: Python Program Code for Video Examples
  11. Video: A Question of Causation (Used with Permission from Annenberg Learner)

Graded: Testing a Potential Moderator

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