Tools for Data Science
Completed by Tien Lin Yuan
January 1, 2020
16 hours (approximately)
Tien Lin Yuan's account is verified. Coursera certifies their successful completion of Tools for Data Science
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: GitHub
- Category: Data Analysis Software
- Category: Version Control
- Category: Other Programming Languages
- Category: Jupyter
- Category: Python Programming
- Category: Query Languages
- Category: Cloud Hosting
- Category: Integrated Development Environments
- Category: Development Environment
- Category: Git (Version Control System)
- Category: Data Science
