Essential Tools for Data Scientists: Git, Jupyter & More
Completed by Rocio Alcolea Garzón
October 16, 2019
16 hours (approximately)
Rocio Alcolea Garzón'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: Data Analysis Software
- Category: Version Control
- Category: Git (Version Control System)
- Category: Data Science
- Category: Python Programming
- Category: Query Languages
- Category: Development Environment
- Category: Integrated Development Environments
- Category: R Programming
- Category: Computer Programming Tools
- Category: Cloud Platforms
