Web Development
Python
SQL
JavaScript
Data Science
Artificial Intelligence
IT & Software
IT Certifications
Hacking
Arduino
AWS
3D Modeling
Graphic Design
Photoshop
Drawing
Digital Painting
UX Design
Business
Data Analysis
Communication Skills
Project Management
Leadership & Management
E-Commerce
Digital Marketing
Social Media Marketing
Marketing
SEO
Google Analytics
Branding
Office Productivity
Excel
Finance & Accounting
Bitcoin
Video Editing & Animation
Photography
Adobe Premier Pro
Adobe Lightroom
Personal Development
Health & Fitness
Music
Guitar
Teaching & Academics
Language Learning
Engineering
LifestylePractical Predictive Analytics: Models and Methods
Learn scalable data management, evaluate big data technologies, and design effective visualizations.This Specialization covers intermediate topics in data science. You will gain hands-on experience with scalable SQL and NoSQL data management solutions, data mining algorithms, and practical statistical and machine learning concepts. You will also learn to visualize data and communicate results, and you'll explore legal and ethical issues that arise in working with big data. In the final Capstone Project, developed in partnership with the digital internship platform Coursolve, you'll apply your
Created by: Bill Howe
Quality Score
Overall Score : 74 / 100
Course Description
Instructor Details
- 3.7 Rating
53 Reviews
Bill Howe
Bill Howe is the Director of Research for Scalable Data Analytics at the UW eScience Institute and holds an Affiliate Assistant Professor appointment in Computer Science & Engineering, where he leads a group studying data management, analytics, and visualization systems for science applications. Howe has received awards from Microsoft Research and honors for papers in scientific data management, and serves on a number of program committees, organizing committees, and advisory boards in the area, including the advisory board of the Data Science certificate program at UW. He holds a Ph.D. in Computer Science from Portland State University and a Bachelor's degree in Industrial & Systems Engineering from Georgia Tech.
More courses by Bill Howe
More Artificial Intelligence courses
Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization
5.0 (526 Reviews)
Provider: Coursera
Time: 15h
Free
Artificial Intelligence: Reinforcement Learning in Python (2026)
4.9 (10,817 Reviews)
- Provider: Udemy
- Time: 14.7h
$79.99
Reviews
By Bingcheng L on 7-Aug-19
Too little people participated and long peer review time.But the course content is good.
By Yifei G on 26-Jun-19
I can feel Prof. Howe tried to cover as much as possible and to build a foundation for both practicing as well as further study on the topics. However, I do feel it is not patient enough to give a detailed yet easy-to-follow explanation for some of the topics, and I had to do quite some self-readings to close the gap. I think it will be helpful if the course can provide some reading materials on how some of the formulas are derived (e.g. gradient descent, logistic regression etc.) as a supplement.
By Benjamin F on 4-Feb-18
Meh, if you want to really dive in predictive analytics go to other courses.
By Jana E on 7-Dec-17
Same as before, subjects are quite interesting, but the video material is of quite low quality.
By Roberto S on 13-Jun-17
Very good approach to each method; the assignments are a good test for the topics.
By Nathaniel E on 8-Jun-17
I think the amount of course work to lectures was more appropriate than the first segment. I enjoyed the exercises and felt that they mixed the correct amount of theory and applicaiton.
Showing 12 of 53 reviews
Could not load more reviews.
- Video Duration:
13h - Price: Free
- Provider: Coursera
- University:
University of Washington - Language:
English - Certificate:
Yes
Coursera Coupon Price Tracker
