Computation and Visualization for Analytics Part 2
By Coursera
on Coursera
· Data Science
About This Course
Offers students an opportunity to learn how to use visualization tools and techniques for data exploration, knowledge discovery, data storytelling, and decision making in engineering, healthcare operations, manufacturing, and related applications. Covers basics of Python and R for data mining and visualization. Introduces students to static and interactive visualization charts and techniques that reveal information, patterns, interactions, and comparisons by focusing on details such as color encoding, shape selection, spatial layout, and annotation.
Instructor
Sivarit Sultornsanee
Frequently Asked Questions
How much does Computation and Visualization for Analytics Part 2 cost?
Visit the Computation and Visualization for Analytics Part 2 course page for current pricing and available discounts.
Who teaches Computation and Visualization for Analytics Part 2?
Computation and Visualization for Analytics Part 2 is taught by Sivarit Sultornsanee, Northeastern University .
What skill level is Computation and Visualization for Analytics Part 2 for?
This course is designed for beginner learners.