Essential Tools for Data Scientists: Git, Jupyter & More
Completed by Célia Jonas
July 19, 2020
16 hours (approximately)
Célia Jonas'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 tools
Utilize languages commonly used by data scientists like Python, R, and SQL
Demonstrate working knowledge of tools such as Jupyter notebooks and RStudio and utilize their various features
Create and manage source code for data science using Git repositories and GitHub.
Skills you will gain
- Category: Integrated Development Environments
- Category: Development Environment
- Category: Python Programming
- Category: Query Languages
- Category: Other Programming Languages
- Category: Version Control
- Category: Data Analysis Software
- Category: R Programming
- Category: Computer Programming Tools
- Category: Git (Version Control System)
- Category: Data Science
- Category: Cloud Hosting
