The Data Scientist’s Toolbox
This course is part of multiple programs.
What you’ll learn
-
Set up R, R-Studio, Github and other useful tools
-
Understand the data, problems, and tools that data analysts use
-
Explain essential study design concepts
-
Create a Github repository
There are 4 modules in this course
In this course you will get an introduction to the main tools and ideas in the data scientist’s toolbox. The course gives an overview of the data, questions, and tools that data analysts and data scientists work with. There are two components to this course. The first is a conceptual introduction to the ideas behind turning data into actionable knowledge. The second is a practical introduction to the tools that will be used in the program like version control, markdown, git, GitHub, R, and RStudio.
Download Link
(Backup first, i don’t have it anywhere saved)
Source: Onehack.us
Happy learning!
DISCLAIMER: No Copyright Infringement Intended, All Rights Reserved to the Actual Owner.
This content has been shared under Educational And Non-Profit Purposes Only.
- For Copyright Content Removal Please Contact the Original Poster (OP)
- 1Hack have no control over the shared content and nature of the external sites.
!