Probability Theory and Regression for Predictive Analytics
Probability Theory and Regression for Predictive Analytics
This course is part of Mathematical Foundations for Data Science and Analytics Specialization
Instructor: Morgan Frank
Access provided by Nanyang Technological University
Beginner level
No prior experience required
Flexible schedule
Learn at your own pace
What you'll learn
Calculate conditional probabilities and apply Bayes' Theorem for data inference.
Understand and apply various probability distributions for statistical analysis.
Perform ordinary least squares regression to fit linear models to data.
Analyze datasets using advanced regression techniques in Python.
Skills you'll gain
- Probability Distribution
- Statistical Inference
- Statistical Methods
- Regression Analysis
- Predictive Analytics
- Statistics
- Statistical Modeling
- Logistic Regression
- Algorithms
- Probability
- Bayesian Statistics
- Predictive Modeling
- Data Analysis
- Data Science
- Statistical Analysis
- Applied Mathematics
- Probability & Statistics
- Machine Learning
Tools you'll learn
Details to know
Shareable certificate
Add to your LinkedIn profile
Taught in English
See how employees at top companies are mastering in-demand skills
Build your subject-matter expertise
This course is part of the Mathematical Foundations for Data Science and 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
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."
Explore more from Data Science
University of Pittsburgh
University of Pennsylvania
