Tools for Data Science
Completed by Mark Atef Lamey
May 20, 2026
16 hours (approximately)
Mark Atef Lamey'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: Git (Version Control System)
- Category: Data Science
- Category: Version Control
- Category: Data Analysis Software
- Category: Integrated Development Environments
- Category: R Programming
- Category: Python Programming
- Category: Query Languages
- Category: Development Environment
- Category: GitHub
- Category: Other Programming Languages
- Category: Cloud Hosting
