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.
Zum Download / Zur Anzeige
Weiterführende Informationen
Personen: Church, James
Church, James:
Learning Haskell for Data Analysis : LinkedIn, 2017. - 03:18:01.00
Signatur: eLearning - LEO-SUED Medien