- Level Foundation
- Duration 12 hours
- Course by Wesleyan University
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Offered by
About
Whether being used to customize advertising to millions of website visitors or streamline inventory ordering at a small restaurant, data is becoming more integral to success. Too often, we're not sure how use data to find answers to the questions that will make us more successful in what we do. In this course, you will discover what data is and think about what questions you have that can be answered by the data " even if you've never thought about data before. Based on existing data, you will learn to develop a research question, describe the variables and their relationships, calculate basic statistics, and present your results clearly. By the end of the course, you will be able to use powerful data analysis tools " either SAS or Python " to manage and visualize your data, including how to deal with missing data, variable groups, and graphs. Throughout the course, you will share your progress with others to gain valuable feedback, while also learning how your peers use data to answer their own questions.Modules
Steps in Data Analysis (Lesson 1)
2
Videos
- Welcome Video
- Video Lesson - Steps in data analysis
What Do We Mean By Data? (Lesson 2)
1
Videos
- Video Lesson - What do we mean by data?
Data Sets and Code Books (Lesson 3)
1
Videos
- Video Lesson - Datasets and codebooks
Developing a Research Question (Lesson 4)
1
Videos
- Video Lesson - Developing a research question
ASSIGNMENT: Developing a Research Question and Creating Your Personal Code Book
1
Peer Review
- Getting Your Research Project Started
5
Readings
- Course codebooks
- Course Data Sets
- Getting Set Up for the Assignments
- Tumblr Instructions
- Troubleshooting Your Tumblr Assignment Blog Link
Software Setup and Supporting Materials
7
Readings
- Choosing SAS or Python
- Getting Started with SAS
- Getting Started with Python
- Codebook for Video Examples
- SAS Program for Video Examples
- Python Program for Video Examples
- Uploading Your Own Data to SAS
SAS Lessons
4
Videos
- SAS Lesson 1 - Defining exploratory data analysis
- SAS Lesson 2 - SAS coding conventions
- SAS Lesson 3 - Running your program and examining frequency distribution
- SAS Lesson 4 - Refining your research question by selecting rows
Python Lessons
4
Videos
- Python Lesson 1 - Defining Exploratory Data Analysis
- Python Lesson 2 - Python Coding Conventions
- Python Lesson 3 - Running your program and examining frequency distributions
- Python Lesson 4 - Refining your research question by selecting rows
Assignment: Running Your First Program
1
Peer Review
- Running Your First Program
1
Readings
- Assignment Sample
Supporting Materials
3
Readings
- SAS Program for Video Examples
- Python Program for Video Examples
- Codebook for Video Examples
SAS Lessons
4
Videos
- SAS Lesson 1 - Setting aside missing data
- SAS Lesson 2 - Coding in valid data and recoding values
- SAS Lesson 3 - Creating secondary variables
- SAS Lesson 4 - Grouping variables within individual variables
Python Lessons
4
Videos
- Python Lesson 1 - Setting aside missing data
- Python Lesson 2 - Coding valid data and recoding values
- Python Lesson 3 - Creating secondary variables
- Python Lesson 4 - Grouping values within individual variables
Assignment: Making Data Management Decisions
1
Peer Review
- Making Data Management Decisions
1
Readings
- Assignment Sample
Supporting Materials
4
Readings
- Graphing Decisions Flowchart
- SAS Programs for Video Examples
- Python Programs for Video Examples
- Codebooks for Video Examples
SAS Lessons
6
Videos
- SAS Lesson 1 - Graphing individual variables
- SAS Lesson 2 - Describing distributions visually
- SAS Lesson 3 - Measures of center and spread
- SAS Lesson 4 - Designing the role each of your variables will play
- SAS Lesson 5 - Graphing decisions: categorical response variables
- SAS Lesson 6 - Graphing decisions: quantitative response variable
Python Lessons
6
Videos
- Python Lesson 1 - Graphing individual variables
- Python Lesson 2 - Describing distributions visually
- Python Lesson 3 - Measures of Center and Spread
- Python Lesson 4 - Designing the role each of your variables will play
- Python Lesson 5 - Graphing Decisions: Categorical response variables
- Python Lesson 6 - Graphing decisions: quantitative response variable
Assignment: Creating Graphs for Your Data
1
Peer Review
- Creating graphs for your data
1
Readings
- Assignment Sample
More Supporting Materials - All Weeks
3
Readings
- How to Write a Literature Review
- Translation Code
- Acknowledgments
Auto Summary
Unlock the power of data with the Data Management and Visualization course by Coursera. Focused on Data Science & AI, this foundational course guides you through the essentials of data analysis using SAS or Python. Over 720 minutes, learn to develop research questions, calculate statistics, and visualize data effectively. Ideal for beginners, choose from Starter, Professional, or Paid subscription options and collaborate with peers to enhance your learning experience.

Lisa Dierker