Tools for Data Science
Completed by Daniel Beica
March 3, 2026
16 hours (approximately)
Daniel Beica'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: Software Development Tools
- Category: R (Software)
- Category: Python Programming
- Category: Data Visualization Software
- Category: Computer Programming Tools
- Category: GitHub
- Category: Other Programming Languages
- Category: Version Control
- Category: Jupyter
- Category: R Programming
- Category: Cloud Platforms
- Category: Git (Version Control System)
