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Mathematica

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Mathematica - Introduction, Visualization, and Data Presentation

 14 Hours
The "Mathematica - introduction, visualization and presentation of data" training is aimed at participants with basic mathematical knowledge. Mathematica, as a powerful mathematical engine, enables effective calculations, creating text documents, building charts and presenting data. Participants will gain practical skills in working with Mathematica, used, among others, in mathematics, physics, biology, financial analysis and other fields.
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Mathematica for Machine Learning

 14 Hours
This instructor-led, live training in Botswana (online or onsite) is aimed at data scientists who wish to use machine learning in Mathematica for data analysis. By the end of this training, participants will be able to:
  • Build and train machine learning models.
  • Import and prepare data for machine learning.
  • Separate training data from test data.
  • Explore deep learning and neural network applications in data analysis.
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Data Science: Analysis and Presentation

 7 Hours
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.
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Machine learning, python, data manipulation

Siphelo Mapolisa - University Of South Africa

Course - Data Science: Analysis and Presentation

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