Data Science Scratch

Learning Path: Julia: Explore Data Science with Julia  eBooks & eLearning

Posted by FenixN at March 16, 2017
Learning Path: Julia: Explore Data Science with Julia

Learning Path: Julia: Explore Data Science with Julia
HDRips | MP4/AVC, ~137 kb/s | 1280x720 | Duration: 05:33:29 | English: AAC, 128 kb/s (2 ch) | 869 MB
Genre: Development / Programming

Use the advanced features of Julia to work with complex data

Reactive Python for Data Science  eBooks & eLearning

Posted by FenixN at Jan. 21, 2017
Reactive Python for Data Science

Reactive Python for Data Science
HDRips | MP4/AVC, ~2000 kb/s | 1920x1080 | Duration: 02:17:37 | English: AAC, 128 kb/s (2 ch) | 2.00 GB
Genre: Development / Programming

Reactive programming is shaping the future of how we model data. With reactive, not only can you concisely wrangle and analyze static data, you can effectively work with data as a real-time infinite feed. Reactive Extensions (Rx) first gained traction in 2009 and has been ported to over a dozen major languages and platforms.

Julia for Data Science  eBooks & eLearning

Posted by FenixN at Jan. 10, 2017
Julia for Data Science

Julia for Data Science
HDRips | MP4/AVC, ~461 kb/s | 1280x720 | Duration: 02:41:23 | English: AAC, 128 kb/s (2 ch) | 546 MB
Genre: Development / Programming

Refine your data science skills with the heavy armory of tools provided by Julia

Learning Path: Introduction to Data Science with R  eBooks & eLearning

Posted by FenixN at Dec. 4, 2016
Learning Path: Introduction to Data Science with R

Learning Path: Introduction to Data Science with R
HDRips | MP4/AVC, ~372 kb/s | 1920х1080 / 1280x720 | Duration: 20:19:39 | English: AAC, 128 kb/s (2 ch) | 9.84 GB
Genre: Development / Programming

The R programming language has arguably become the single most important tool for computational statistics, visualization, and data science. With this Learning Path, master the basics that you'll need as a data scientist. You'll work your data like never before.

Getting Started with R for Data Science  eBooks & eLearning

Posted by FenixN at Nov. 24, 2016
Getting Started with R for Data Science

Getting Started with R for Data Science
HDRips | MP4/AVC, ~107 kb/s | 1280x720 | Duration: 01:39:07 | English: AAC, 128 kb/s (2 ch) | 224 MB
Genre: Development / Programming

Unleash the powerful capabilities of R to work effectively with data.

Data Science with R  eBooks & eLearning

Posted by FenixN at Nov. 20, 2016
Data Science with R

Data Science with R
HDRips | MP4/AVC, ~499 kb/s | 1280x720 | Duration: 15:14:52 | English: AAC, 128 kb/s (2 ch) | 3.53 GB
Genre: Development / Programming

Learn R and get comfortable with data science.

R for Data Science Solutions  eBooks & eLearning

Posted by FenixN at Nov. 9, 2016
R for Data Science Solutions

R for Data Science Solutions
HDRips | MP4/AVC, ~421 kb/s | 1280x720 | Duration: 05:32:47 | English: AAC, 128 kb/s (2 ch) | 1.67 GB
Genre: Development / Programming / Software

Over 100 hands-on tasks to help you effectively solve real-world data problems using the most popular R packages and techniques

Learn Tableau Desktop 9 from Scratch for Data Science  eBooks & eLearning

Posted by naag at Jan. 27, 2016
Learn Tableau Desktop 9 from Scratch for Data Science

Learn Tableau Desktop 9 from Scratch for Data Science
MP4 | Video: AVC 1280x720 | Audio: AAC 44KHz 2ch | Duration: 32 M | 54 MB
Genre: eLearning | Language: English

Master Data Visualization using Tableau Desktop 9 and build amazing data visualizations and dashboards

Data Science from Scratch: First Principles with Python  eBooks & eLearning

Posted by Grev27 at July 6, 2015
Data Science from Scratch: First Principles with Python

Joel Grus, "Data Science from Scratch: First Principles with Python"
English | ISBN: 149190142X | 2015 | PDF (True) | 330 pages | 5 MB

Data Science from Scratch: First Principles with Python  eBooks & eLearning

Posted by AlenMiler at April 26, 2015
Data Science from Scratch: First Principles with Python

Data Science from Scratch: First Principles with Python by Joel Grus
English | Apr 30, 2015 | ISBN: 149190142X | 330 Pages | AZW3/EPUB/PDF (conv) | 13.2 MB

Data science libraries, frameworks, modules, and toolkits are great for doing data science, but they’re also a good way to dive into the discipline without actually understanding data science. In this book, you’ll learn how many of the most fundamental data science tools and algorithms work by implementing them from scratch.