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Lynda - Learning Haskell for Data Analysis - 604234
Lynda - Learning Haskell for Data Analysis
Data is frequently available in raw form and in massive quantities, so knowing how to find the data you need and analyze it is crucial to being a successful data analyst. This course shows how to use Haskell for your data science needs. Instructor James Church first explains descriptive statistics, so you can discover the importance of ranges, means, medians, and standard deviations. Then, James gets you started with using SQLite3 so you can query data. Next, he takes you through working with regular expressions and visualizations. Finally, he discusses the topic of distribution by covering Kernel Density Estimation.


Table of Contents

  • 1. Descriptive Statistics
  • 2. SQLite3
  • 3. Regular Expressions
  • 4. Visualizations
  • 5. Kernel Density Estimation
  • 6. Course Review
  • Lynda - Learning Haskell for Data Analysis


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