This course is part of the Linear Algebra for Data Science Using Python Specialization

Moussa Doumbia +1 more instructor

Offered By

Linear Algebra for Data Science Using Python SpecializationHoward University

About this Course

In this course, you'll learn how to distinguish between the different types of regression models. You will apply the Method of Least Squares to a dataset by hand and using Python. In addition, you will learn how to employ a linear regression model to identify scenarios. Let's get started!

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Course 3 of 4 in the

Linear Algebra for Data Science Using Python Specialization

Beginner Level

Approx. 6 hours to complete

English

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Flexible deadlines

Reset deadlines in accordance to your schedule.

Shareable Certificate

Earn a Certificate upon completion

100% online

Start instantly and learn at your own schedule.

Course 3 of 4 in the

Linear Algebra for Data Science Using Python Specialization

Beginner Level

Approx. 6 hours to complete

English

Could your company benefit from training employees on in-demand skills?

Try Coursera for Business

Instructors

Moussa Doumbia

Department of Mathematics

2,020 Learners

4 Courses

Dennis Davenport

Graduate Director and Associate Professor

Department of Mathematics

2,020 Learners

4 Courses

Offered by

Howard University

Founded in 1867, Howard University is a private, research university that is comprised of 14 schools and colleges. Students pursue more than 140 programs of study leading to undergraduate, graduate and professional degrees. The University operates with a commitment to Excellence in Truth and Service and has produced one Schwarzman Scholar, three Marshall Scholars, four Rhodes Scholars, 12 Truman Scholars, 25 Pickering Fellows and more than 165 Fulbright recipients. Howard also produces more on-campus African American Ph.D. recipients than any other university in the United States. For more information on Howard University, visit www.howard.edu.

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Syllabus - What you will learn from this course

Week1

Week 1

2 hours to complete

Introduction to Regression Models

2 hours to complete

8 videos (Total 36 min), 1 reading, 3 quizzes

8 videos

Introduction to Specialization3mCourse Introduction4mInstructor Introduction3mWhat is Regression Analysis?4mDifferent Types of Regression Models6mRegression Models in the Real World3mIntroduction to the Method of Least Squares3mIntroduction to the Method of Linear Regression Models6m

1 reading

Welcome to Building Regression Models with Linear Algebra10m

3 practice exercises

Practice Quiz: Regression and Types of Regression Models15mPractice Quiz: Which Model to Use?30mGraded Quiz: Regression Definitions and Models30m

Week2

Week 2

2 hours to complete

Using the Method of Least Squares

2 hours to complete

2 videos (Total 11 min)

Week3

Week 3

1 hour to complete

Using Linear Regression Models

1 hour to complete

2 videos (Total 12 min)

Week4

Week 4

1 hour to complete

Using Linear Regression Model

Welcome to the final module of this course! Over the past 3 modules, you have been introduced to and gained knowledge on the following topics: regression, regression models, applying the method of least squares and, understanding linear regression models. In the final module of the course, you’ll apply what you’ve learned to concrete, real-world examples. You’ll review real-world linear regression models and complete peer reviews. We will cover the following learning objectives.

1 hour to complete

2 videos (Total 10 min)

About the Linear Algebra for Data Science Using Python Specialization

Frequently Asked Questions

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Building Regression Models with Linear Algebra

About this Course