Essential Tools for Data Scientists: Git, Jupyter & More
Completed by Daniel Iván García Correa
August 3, 2020
16 hours (approximately)
Daniel Iván García Correa'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: Other Programming Languages
- Category: Version Control
- Category: Data Analysis Software
- Category: Git (Version Control System)
- Category: Data Science
- Category: R Programming
- Category: Computer Programming Tools
- Category: GitHub
- Category: Cloud Hosting
- Category: Cloud Platforms
- Category: Jupyter
- Category: Python Programming
