Google
Regression Analysis: Simplify Complex Data Relationships
Google

Regression Analysis: Simplify Complex Data Relationships

This course is part of Google Advanced Data Analytics Professional Certificate

Taught in English

Some content may not be translated

Google Career Certificates

Top Instructor

31,330 already enrolled

Included with Coursera Plus

Course

Gain insight into a topic and learn the fundamentals

4.7

(313 reviews)

|

97%

Advanced level
Designed for those already in the industry
32 hours (approximately)
Flexible schedule
Learn at your own pace

What you'll learn

  • Investigate relationships in datasets

  • Identify regression model assumptions 

  • Perform linear and logistic regression using Python

  • Practice model evaluation and interpretation

Details to know

Shareable certificate

Add to your LinkedIn profile

Assessments

27 quizzes

Course

Gain insight into a topic and learn the fundamentals

4.7

(313 reviews)

|

97%

Advanced level
Designed for those already in the industry
32 hours (approximately)
Flexible schedule
Learn at your own pace

See how employees at top companies are mastering in-demand skills

Placeholder

Build your Data Analysis expertise

This course is part of the Google Advanced Data Analytics Professional Certificate
When you enroll in this course, you'll also be enrolled in this Professional Certificate.
  • Learn new concepts from industry experts
  • Gain a foundational understanding of a subject or tool
  • Develop job-relevant skills with hands-on projects
  • Earn a shareable career certificate from Google
Placeholder
Placeholder

Earn a career certificate

Add this credential to your LinkedIn profile, resume, or CV

Share it on social media and in your performance review

Placeholder

There are 6 modules in this course

You’ll begin by exploring the main steps for building regression models, from identifying your assumptions to interpreting your results. Next, you’ll explore the two main types of regression: linear and logistic. You’ll learn how data professionals use linear and logistic regression to approach different kinds of business problems.

What's included

8 videos3 readings4 quizzes1 discussion prompt1 plugin

You’ll explore how to use models to describe complex data relationships. You’ll focus on relationships of correlation. Then, you’ll build a simple linear regression model in Python and interpret your results.

What's included

9 videos8 readings5 quizzes1 discussion prompt5 ungraded labs

After simple regression, you’ll move on to a more complex regression model: multiple linear regression. You’ll consider how multiple regression builds on simple linear regression at every step of the modeling process. You’ll also get a preview of some key topics in machine learning: selection, overfitting, and the bias-variance tradeoff.

What's included

10 videos4 readings5 quizzes1 discussion prompt3 ungraded labs1 plugin

You’ll build on your prior knowledge of hypothesis testing to explore two more statistical tests: Chi-squared and analysis of variance (ANOVA). You’ll learn how data professionals use these tests to analyze different types of data. Finally, you’ll conduct two kinds of Chi-squared tests, as well as one-way and two-way ANOVA tests.

What's included

9 videos3 readings4 quizzes3 ungraded labs

You’ll investigate binomial logistic regression, a type of regression analysis that classifies data into two categories. You’ll learn how to build a binomial logistic regression model and how data professionals use this type of model to gain insights from their data.

What's included

8 videos4 readings5 quizzes3 ungraded labs

You’ll complete an end-of-course project by building a regression model to analyze a workplace scenario dataset.

What's included

5 videos9 readings4 quizzes2 discussion prompts6 ungraded labs

Instructor

Instructor ratings
4.5 (76 ratings)
Google Career Certificates

Top Instructor

Google
324 Courses9,574,204 learners

Offered by

Google

Recommended if you're interested in Data Analysis

Why people choose Coursera for their career

Felipe M.
Learner since 2018
"To be able to take courses at my own pace and rhythm has been an amazing experience. I can learn whenever it fits my schedule and mood."
Jennifer J.
Learner since 2020
"I directly applied the concepts and skills I learned from my courses to an exciting new project at work."
Larry W.
Learner since 2021
"When I need courses on topics that my university doesn't offer, Coursera is one of the best places to go."
Chaitanya A.
"Learning isn't just about being better at your job: it's so much more than that. Coursera allows me to learn without limits."

Learner reviews

Showing 3 of 313

4.7

313 reviews

  • 5 stars

    82.74%

  • 4 stars

    9.58%

  • 3 stars

    3.83%

  • 2 stars

    1.91%

  • 1 star

    1.91%

BT
5

Reviewed on Apr 13, 2023

TH
5

Reviewed on Jan 27, 2024

YG
5

Reviewed on Aug 6, 2023

New to Data Analysis? Start here.

Placeholder

Open new doors with Coursera Plus

Unlimited access to 7,000+ world-class courses, hands-on projects, and job-ready certificate programs - all included in your subscription

Advance your career with an online degree

Earn a degree from world-class universities - 100% online

Join over 3,400 global companies that choose Coursera for Business

Upskill your employees to excel in the digital economy

Frequently asked questions