Tools for Data Science
Completed by Alberto Ricardo Kubota Zegarra Ballon
April 19, 2026
16 hours (approximately)
Alberto Ricardo Kubota Zegarra Ballon'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: Query Languages
- Category: Cloud Computing
- Category: Python Programming
- Category: Development Environment
- Category: Jupyter
- Category: Other Programming Languages
- Category: Software Development Tools
- Category: Open Source Technology
- Category: Statistical Programming
- Category: Git (Version Control System)
- Category: Cloud Hosting
- Category: R Programming
