Essential Tools for Data Scientists: Git, Jupyter & More
Completed by Ryan Varyan
November 12, 2020
16 hours (approximately)
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What you will learn
Describe the Data Scientist’s tool kit which includes: Libraries & Packages, Data sets, Machine learning models, and Big Data toolsÂ
Utilize languages commonly used by data scientists like Python, R, and SQLÂ
Demonstrate working knowledge of tools such as Jupyter notebooks and RStudio and utilize their various features Â
Create and manage source code for data science using Git repositories and GitHub.Â
Skills you will gain
- Category: Version Control
- Category: Data Analysis Software
- Category: Other Programming Languages
- Category: Git (Version Control System)
- Category: Data Science
- Category: Python Programming
- Category: Query Languages
- Category: R Programming
- Category: Computer Programming Tools
- Category: GitHub
- Category: Cloud Hosting
- Category: Cloud Platforms
