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Data Science: Analysis and Presentation

The Wolfram System's integrated environment makes it an efficient tool for both analyzing and presenting data. This course covers aspects of the Wolfram Language relevant to analytics, including statistical computation, visualization, data import and export, packages for interacting with parallelization frameworks like Hadoop, and automatic generation of reports. Emphasis will be placed on features in Mathematica and Wolfram Data Science Platform.

Level: Intermediate

This course assumes basic familiarity with Mathematica and the Wolfram Language.

Live
English
Nov 21
9:30 am - 3:30 pm
Oxfordshire, United Kingdom 95.00 (GBP)
Dec 17
1 pm - 5 pm EST
Online $225.00 (USD)
Jan 15
1 pm - 5 pm EST
Online $225.00 (USD)
Feb 12
1 pm - 5 pm EST
Online $225.00 (USD)
Jun 01
2:15 pm - 5:30 pm
Frankfurt, Germany €95.00 (EUR)

Outline

  • Using associations
  • Querying with datasets
  • Machine learning for classification and prediction
  • Working with semantically imported data
  • Authoring customizable documents from templates
  • Deploying results to the cloud
  • Computations on Big Data