Visual Explorations in Data Science: Wolfram U Course

Course introduces a visual, example-driven approach to learning the process of data science. Explorations utilize built-in knowledge and data visualization functions in Wolfram Language.

Summary
Data is all around us, and methods of making sense of data are only becoming more important. This course introduces a visual, example-driven approach to learning the process of data science. Through built-in knowledge in Wolfram Language, a dozen extensive and applicable explorations are carried out, with visualization guiding the way. Discover the richness of curated, computable data about millions of entities and hundreds of entity types built into Wolfram Language. Learn to leverage curated data and a plethora of data visualization functions to discover a revolutionary new way of doing data science: localized, organized and extensive.

Featured Products & Technologies: Wolfram Language (available in Mathematica and Wolfram|One)


You'll Learn To

Use built-in data in Wolfram Language to perform useful analysis
Apply the data science process to a range of problems, from exploratory probing to model building
Perform analysis on different types of data, from time series to images
Customize visualizations to suit the needs of your analysis
Employ basic statistical concepts such as probability distributions in your explorations
Explore data through relevant visualization functions