Using Tabular for Efficient Data Processing: Wolfram U Class

How to import, clean and visualize tabular data using Wolfram Language. Use tabular data to create machine learning models. Work with numbers, dates, text, images, additional data types.

Summary
Tabular data, or data organized in two-dimensional tables with rows and columns, is everywhere, and Wolfram Language provides streamlined and efficient functionality for tabular data processing. This course shows how to work with tabular data containing numbers, dates, text, images or any other type of data supported in Wolfram Language. Each video lesson covers a different step in the Tabular workflow, from access to data sources and data cleaning to tabular transformations, visualizing and modeling.

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


You'll Learn To

Create, compute, extract and edit Tabular 2D objects
Transform data in Tabular objects
Clean tabular data by removing, selecting and sorting columns and rows
Efficiently import large quantities of data in a variety of file types
Visualize data from Tabular objects
Use Tabular objects to create machine learning models