Tools for Data Science
Completed by Jesenia Maribel Pérez Casani
June 29, 2025
16 hours (approximately)
Jesenia Maribel Pérez Casani'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 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: Data Science
- Category: Software Development Tools
- Category: R (Software)
- Category: Python Programming
- Category: Statistical Programming
- Category: GitHub
- Category: Query Languages
- Category: Jupyter
- Category: Development Environment
- Category: Cloud Hosting
- Category: R Programming
- Category: Application Programming Interface (API)
