Learning Haskell for Data Analysis

Learning Haskell for Data Analysis

[Online Course]

Streaming Video - 2017
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Learn how to analyze large amounts of data using Haskell. This course shows how to use Haskell for data science, including how to query, clean up, manipulate, and analyze data.
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. Note: This course was created by Packt Publishing. We are pleased to host this training in our library.
Publisher: Carpenteria, CA : lynda.com, 2017
Copyright Date: ©2017
Branch Call Number: ONLINE COURSES
Additional Contributors: Church, James - Speaker
Lynda.com (Firm)

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