University of Colorado Boulder

Predictive Modeling and Analytics

This course is part of Advanced Business Analytics Specialization

Taught in English

Some content may not be translated

Dan Zhang

Instructor: Dan Zhang

35,689 already enrolled

Included with Coursera Plus

Course

Gain insight into a topic and learn the fundamentals

3.6

(590 reviews)

|

61%

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

What you'll learn

  • Apply exploratory data analysis to gain insights and prepare data for predictive modeling

  • Summarize and visualize datasets using appropriate tools

  • Identify modeling techniques for prediction of continuous and discrete outcomes

  • Identify appropriate graphs to explore and display datasets

Details to know

Shareable certificate

Add to your LinkedIn profile

Assessments

9 quizzes

Course

Gain insight into a topic and learn the fundamentals

3.6

(590 reviews)

|

61%

Intermediate level
Some related experience required
10 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 Advanced Business Analytics 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

At the end of this module students will be able to: 1. Carry out exploratory data analysis to gain insights and prepare data for predictive modeling 2. Summarize and visualize datasets using appropriate tools 3. Identify modeling techniques for prediction of continuous and discrete outcomes. 4. Explore datasets using Excel 5. Explain and perform several common data preprocessing steps 6. Choose appropriate graphs to explore and display datasets

What's included

8 videos1 reading2 quizzes1 peer review1 discussion prompt

This module introduces regression techniques to predict the value of continuous variables. Some fundamental concepts of predictive modeling are covered, including cross-validation, model selection, and overfitting. You will also learn how to build predictive models using the software tool XLMiner.

What's included

8 videos2 quizzes1 discussion prompt

This module introduces logistic regression models to predict the value of binary variables. Unlike continuous variables, a binary variable can only take two different values and predicting its value is commonly called classification. Several important concepts regarding classification are discussed, including cross validation and confusion matrix, cost sensitive classification, and ROC curves. You will also learn how to build classification models using the software tool XLMiner.

What's included

8 videos2 quizzes1 discussion prompt

This module introduces more advanced predictive models, including trees and neural networks. Both trees and neural networks can be used to predict continuous or binary variables. You will also learn how to build trees and neural networks using the software tool XLMiner.

What's included

8 videos3 quizzes1 peer review1 discussion prompt

Instructor

Instructor ratings
3.0 (107 ratings)
Dan Zhang
University of Colorado Boulder
3 Courses48,975 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 590

3.6

590 reviews

  • 5 stars

    36.48%

  • 4 stars

    25%

  • 3 stars

    14.18%

  • 2 stars

    12.66%

  • 1 star

    11.65%

AA
5

Reviewed on May 16, 2020

JJ
4

Reviewed on May 17, 2019

TN
5

Reviewed on Apr 14, 2020

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