Tools for Data Science
Completed by Kyle Sokolis
February 2, 2026
16 hours (approximately)
Kyle Sokolis'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: Other Programming Languages
- Category: Version Control
- Category: Software Development Tools
- Category: R (Software)
- Category: Python Programming
- Category: Scikit Learn (Machine Learning Library)
- Category: Statistical Programming
- Category: Cloud Services
- Category: Cloud API
- Category: Data Visualization Software
- Category: Integrated Development Environments
- Category: Cloud Platforms
