About this Course

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Learner Career Outcomes

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started a new career after completing these courses

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17%

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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. 14 hours to complete
English
Subtitles: English

Skills you will gain

Data AnalysisPython ProgrammingMachine LearningExploratory Data Analysis

Learner Career Outcomes

29%

started a new career after completing these courses

36%

got a tangible career benefit from this course

17%

got a pay increase or promotion
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. 14 hours to complete
English
Subtitles: English

Offered by

Wesleyan University logo

Wesleyan University

Syllabus - What you will learn from this course

Week
1

Week 1

5 hours to complete

Decision Trees

5 hours to complete
7 videos (Total 40 min), 15 readings, 1 quiz
7 videos
Machine Learning and the Bias Variance Trade-Off6m
What Is a Decision Tree?5m
What is the Process of Growing a Decision Tree?4m
Building a Decision Tree with SAS9m
Strengths and Weaknesses of Decision Trees in SAS4m
Building a Decision Tree with Python9m
15 readings
Some Guidance for Learners New to the Specialization10m
SAS or Python - Which to Choose?10m
Getting Started with SAS10m
Getting Started with Python10m
Course Codebooks10m
Course Data Sets10m
Uploading Your Own Data to SAS10m
Data Set for Decision Tree Videos (tree_addhealth.csv)10m
SAS Code: Decision Trees10m
CART Paper - Prevention Science10m
Python Code: Decision Trees10m
Installing Graphviz and pydotplus10m
Getting Set up for Assignments10m
Tumblr Instructions10m
Assignment Example10m
Week
2

Week 2

3 hours to complete

Random Forests

3 hours to complete
4 videos (Total 25 min), 4 readings, 1 quiz
4 videos
Building a Random Forest with SAS7m
Building a Random Forest with Python6m
Validation and Cross-Validation7m
4 readings
SAS code: Random Forests10m
The HPForest Procedure in SAS10m
Python Code: Random Forests10m
Assignment Example10m
Week
3

Week 3

3 hours to complete

Lasso Regression

3 hours to complete
5 videos (Total 32 min), 3 readings, 1 quiz
5 videos
Testing a Lasso Regression with SAS10m
Data Management for Lasso Regression in Python3m
Testing a Lasso Regression Model in Python10m
Lasso Regression Limitations2m
3 readings
SAS Code: Lasso Regression10m
Python Code: Lasso Regression10m
Assignment Example10m
Week
4

Week 4

3 hours to complete

K-Means Cluster Analysis

3 hours to complete
6 videos (Total 42 min), 3 readings, 1 quiz
6 videos
Running a k-Means Cluster Analysis in SAS, pt. 18m
Running a k-Means Cluster Analysis in SAS, pt. 26m
Running a k-Means Cluster Analysis in Python, pt. 18m
Running a k-Means Cluster Analysis in Python, pt. 210m
k-Means Cluster Analysis Limitations2m
3 readings
SAS Code: k-Means Cluster Analysis10m
Python Code: k-Means Cluster Analysis10m
Assignment Example10m

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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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