Multiparadigm Data Science is a rapidly advancing new approach of using modern analytical techniques, automated machine learning and human-data interfaces to arrive at better answers. This course introduces the basic concepts of the multiparadigm approach, demonstrating both the flexible, integrated project workflow and the broad computational toolkit that supports it from start to finish. Discover best practices, exploration techniques and ways to leverage the high-level Wolfram Language to get real, quantifiable answers to the full range of data science problems.
You'll Learn To
Build an end-to-end data science workflow
Wrangle and clean different types of data
Assemble a multiparadigm toolkit for analysis and visualization
Examine and combine data from multiple sources
Perform visual exploratory data analysis
Communicate results effectively with a variety of visualizations and interactive interfaces
ABOUT THIS INTERACTIVE COURSE
It's free and easy to get started with open interactive courses using the Wolfram Cloud—sign in with your Wolfram ID or create one. No plan is required. This full interactive course includes video lessons, quizzes and a scratch notebook, all in an easy-to-use interface. A certificate of course completion is available.