Data Science: Analysis and Presentation Training Course
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 and automatic generation of reports.
Course 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
Requirements
A basic familiarity with Mathematica and the Wolfram Language.
Open Training Courses require 5+ participants.
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Testimonials (2)
The theoretical explanations
Molatelo Tloubatla - University Of South Africa
Course - Data Science: Analysis and Presentation
Machine learning, python, data manipulation
Siphelo Mapolisa - University Of South Africa
Course - Data Science: Analysis and Presentation
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