University of California, Irvine
Predictive Modeling, Model Fitting, and Regression Analysis
University of California, Irvine

Predictive Modeling, Model Fitting, and Regression Analysis

This course is part of Data Science Fundamentals Specialization

Taught in English

Some content may not be translated

Julie Pai

Instructor: Julie Pai

4,666 already enrolled

Included with Coursera Plus

Course

Gain insight into a topic and learn the fundamentals

4.4

(59 reviews)

Intermediate level
Some related experience required
4 hours (approximately)
Flexible schedule
Learn at your own pace

What you'll learn

  • The application of predictive modeling to professional and academic work

  • Applications of classification analysis: decision trees

  • Applications of regression analysis (linear and logistic)

Details to know

Shareable certificate

Add to your LinkedIn profile

Assessments

2 quizzes

Course

Gain insight into a topic and learn the fundamentals

4.4

(59 reviews)

Intermediate level
Some related experience required
4 hours (approximately)
Flexible schedule
Learn at your own pace

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

Placeholder

Build your subject-matter expertise

This course is part of the Data Science Fundamentals Specialization
When you enroll in this course, you'll also be enrolled in this Specialization.
  • 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
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 4 modules in this course

Welcome to Module 1, Predictive Modeling. In this module we will begin with a comparison of predictive and descriptive analytics, and discuss what can be learned from both. We will also discuss supervised and unsupervised modeling, two foundational models in analytics and machine learning.

What's included

1 video2 readings1 discussion prompt

Welcome to Module 2, Data Dimensionality and Classification Analysis. In this module we will explore how data can be classified and how decision trees can be leveraged as a fast, easy to use a model that is easy to interpret, explain, and visualize.

What's included

2 readings1 quiz

Welcome to Module 3, Model Fitting. In this module we will explore the concept of model fitting and how creating a generalized model that is able to fit both historical and future data is the ultimate goal. We will also review how a model can be trained or scored to apply to new and unlabeled data.

What's included

1 video2 readings1 discussion prompt

Welcome to Module 4, Regression Analysis. In this module we will begin with an explanation of regression analytics, a popular technique used by data science professionals to make predictions. We will also discuss how achieving model fit is not a guarantee that a model can help solve a business problem, and how even a good model can sometimes lead to unactionable outcomes.

What's included

2 readings1 quiz1 discussion prompt

Instructor

Instructor ratings
4.6 (17 ratings)
Julie Pai
University of California, Irvine
8 Courses19,637 learners

Offered by

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 59

4.4

59 reviews

  • 5 stars

    67.79%

  • 4 stars

    16.94%

  • 3 stars

    6.77%

  • 2 stars

    3.38%

  • 1 star

    5.08%

NA
4

Reviewed on Jan 27, 2022

MM
5

Reviewed on Mar 25, 2023

MA
4

Reviewed on Jan 11, 2022

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