About this Course

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Learner Career Outcomes

44%

started a new career after completing these courses

36%

got a tangible career benefit from this course
Shareable Certificate
Earn a Certificate upon completion
100% online
Start instantly and learn at your own schedule.
Flexible deadlines
Reset deadlines in accordance to your schedule.
Approx. 16 hours to complete
English
Subtitles: English, Korean

Skills you will gain

SAS LanguageData AnalysisPython ProgrammingData Management

Learner Career Outcomes

44%

started a new career after completing these courses

36%

got a tangible career benefit from this course
Shareable Certificate
Earn a Certificate upon completion
100% online
Start instantly and learn at your own schedule.
Flexible deadlines
Reset deadlines in accordance to your schedule.
Approx. 16 hours to complete
English
Subtitles: English, Korean

Instructor

Offered by

Wesleyan University logo

Wesleyan University

Syllabus - What you will learn from this course

Content RatingThumbs Up94%(4,683 ratings)Info
Week
1

Week 1

3 hours to complete

Selecting a research question

3 hours to complete
5 videos (Total 31 min), 5 readings, 1 quiz
5 videos
Video Lesson - Steps in data analysis7m
Video Lesson - What do we mean by data?4m
Video Lesson - Datasets and codebooks7m
Video Lesson - Developing a research question5m
5 readings
Course codebooks10m
Course Data Sets10m
Getting Set Up for the Assignments10m
Tumblr Instructions10m
Troubleshooting Your Tumblr Assignment Blog Link10m
Week
2

Week 2

4 hours to complete

Writing your first program - SAS or Python

4 hours to complete
8 videos (Total 59 min), 7 readings, 1 quiz
8 videos
SAS Lesson 2 - SAS coding conventions8m
SAS Lesson 3 - Running your program and examining frequency distribution9m
SAS Lesson 4 - Refining your research question by selecting rows5m
Python Lesson 1 - Defining Exploratory Data Analysis3m
Python Lesson 2 - Python Coding Conventions8m
Python Lesson 3 - Running your program and examining frequency distributions12m
Python Lesson 4 - Refining your research question by selecting rows7m
7 readings
Choosing SAS or Python10m
Getting Started with SAS10m
Getting Started with Python10m
Codebook for Video Examples10m
Program for Video Examples10m
Uploading Your Own Data to SAS10m
Assignment Sample10m
Week
3

Week 3

3 hours to complete

Managing Data

3 hours to complete
8 videos (Total 45 min), 3 readings, 1 quiz
8 videos
SAS Lesson 2 - Coding in valid data and recoding values2m
SAS Lesson 3 - Creating secondary variables7m
SAS Lesson 4 - Grouping variables within individual variables2m
Python Lesson 1 - Setting aside missing data7m
Python Lesson 2 - Coding valid data and recoding values6m
Python Lesson 3 - Creating secondary variables8m
Python Lesson 4 - Grouping values within individual variables3m
3 readings
Program for Video Examples10m
Codebook for Video Examples10m
Assignment Sample10m
Week
4

Week 4

4 hours to complete

Visualizing Data

4 hours to complete
12 videos (Total 107 min), 4 readings, 1 quiz
12 videos
SAS Lesson 2 - Describing distributions visually7m
SAS Lesson 3 - Measures of center and spread11m
SAS Lesson 4 - Designing the role each of your variables will play5m
SAS Lesson 5 - Graphing decisions: categorical response variables13m
SAS Lesson 6 - Graphing decisions: quantitative response variable9m
Python Lesson 1 - Graphing individual variables6m
Python Lesson 2 - Describing distributions visually7m
Python Lesson 3 - Measures of Center and Spread11m
Python Lesson 4 - Designing the role each of your variables will play5m
Python Lesson 5 - Graphing Decisions: Categorical response variables14m
Python Lesson 6 - Graphing decisions: quantitative response variable9m
4 readings
Graphing Decisions Flowchart10m
Programs for Video Examples10m
Codebooks for Video Examples10m
Assignment Sample10m
1 hour to complete

Supplemental Materials (All Weeks)

1 hour to complete
3 readings
3 readings
How to Write a Literature Review10m
Translation Code10m
Acknowledgments10m

Reviews

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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....
Data Analysis and Interpretation

Frequently Asked Questions

  • 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.
  • 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.

  • If you subscribed, you get a 7-day free trial during which you can cancel at no penalty. After that, we don’t give refunds, but you can cancel your subscription at any time. See our full refund policy.

  • Yes, Coursera provides financial aid to learners who cannot afford the fee. Apply for it by clicking on the Financial Aid link beneath the "Enroll" button on the left. You'll be prompted to complete an application and will be notified if you are approved. You'll need to complete this step for each course in the Specialization, including the Capstone Project. Learn more.

  • This Course doesn't carry university credit, but some universities may choose to accept Course Certificates for credit. Check with your institution to learn more. Online Degrees and Mastertrack™ Certificates on Coursera provide the opportunity to earn university credit.

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