About this Course
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Start instantly and learn at your own schedule.

Flexible deadlines

Reset deadlines in accordance to your schedule.

Approx. 15 hours to complete

Suggested: 4 weeks, 4 - 5 hours per week...

English

Subtitles: English

Skills you will gain

Logistic RegressionData AnalysisPython ProgrammingRegression Analysis
Learners taking this Course are
  • Data Scientists
  • Data Analysts
  • Business Analysts
  • Scientists
  • Researchers

100% online

Start instantly and learn at your own schedule.

Flexible deadlines

Reset deadlines in accordance to your schedule.

Approx. 15 hours to complete

Suggested: 4 weeks, 4 - 5 hours per week...

English

Subtitles: English

Syllabus - What you will learn from this course

Week
1
3 hours to complete

Introduction to Regression

4 videos (Total 25 min), 5 readings, 1 quiz
4 videos
Lesson 2: Experimental Data6m
Lesson 3: Confounding Variables8m
Lesson 4: Introduction to Multivariate Methods6m
5 readings
Some Guidance for Learners New to the Specialization10m
Getting Set up for Assignments10m
Tumblr Instructions10m
How to Write About Data10m
Writing About Your Data: Example Assignment10m
Week
2
4 hours to complete

Basics of Linear Regression

8 videos (Total 53 min), 9 readings, 1 quiz
8 videos
SAS Lesson 2: Testing a Basic Linear Regression Mode6m
SAS Lesson 3: Categorical Explanatory Variables5m
Python Lesson 1: More on Confounding Variables6m
Python Lesson 2: Testing a Basic Linear Regression Model8m
Python Lesson 3: Categorical Explanatory Variables4m
Lesson 4: Linear Regression Assumptions12m
Lesson 5: Centering Explanatory Variables3m
9 readings
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
SAS Program Code for Video Examples10m
Python Program Code for Video Examples10m
Outlier Decision Tree10m
Week
3
3 hours to complete

Multiple Regression

10 videos (Total 68 min), 2 readings, 1 quiz
10 videos
SAS Lesson 2: Confidence Intervals3m
SAS Lesson 3: Polynomial Regression8m
SAS Lesson 4: Evaluating Model Fit, pt. 15m
SAS Lesson 5: Evaluating Model Fit, pt. 29m
Python Lesson 1: Multiple Regression6m
Python Lesson 2: Confidence Intervals3m
Python Lesson 3: Polynomial Regression9m
Python Lesson 4: Evaluating Model Fit, pt. 15m
Python Lesson 5: Evaluating Model Fit, pt. 210m
2 readings
SAS Program Code for Video Examples10m
Python Program Code for Video Examples10m
Week
4
4 hours to complete

Logistic Regression

7 videos (Total 38 min), 6 readings, 1 quiz
7 videos
Python Lesson 1: Categorical Explanatory Variables with More Than Two Categories6m
Lesson 2: A Few Things to Keep in Mind2m
SAS Lesson 3: Logistic Regression for a Binary Response Variable, pt 17m
SAS Lesson 4: Logistic Regression for a Binary Response Variable, pt. 24m
Python Lesson 3: Logistic Regression for a Binary Response Variable, pt. 17m
Python Lesson 4: Logistic Regression for a Binary Response Variable, pt. 23m
6 readings
SAS Program Code for Video Examples10m
Python Program Code for Video Examples10m
Week 1 Video Credits10m
Week 2 Video Credits10m
Week 3 Video Credits10m
Week 4 Video Credits10m
4.4
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started a new career after completing these courses

40%

got a tangible career benefit from this course

Top reviews from Regression Modeling in Practice

By VMMar 7th 2017

Awesome course. More than regression generation, they have explained in details about how to interpret regression coefficients and results and how to make conclusions. 5 Stars

By PCNov 28th 2016

This was a great course. I've done a few in the area of stats, regression and machine learning now and the Wesleyan ones are the most well-rounded of all of them

Instructors

Avatar

Jen Rose

Research Professor
Psychology
Avatar

Lisa Dierker

Professor
Psychology

About 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. ...

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

  • Once you enroll for a Certificate, you’ll have access to all videos, quizzes, and programming assignments (if applicable). Peer review assignments can only be submitted and reviewed once your session has begun. If you choose to explore the course without purchasing, you may not be able to access certain assignments.

  • 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.

More questions? Visit the Learner Help Center.