Essential Tools for Data Scientists: Git, Jupyter & More
Completed by Justin Quach
June 5, 2024
16 hours (approximately)
Justin Quach's account is verified. Coursera certifies their successful completion of Essential Tools for Data Scientists: Git, Jupyter & More
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
