Tools for Data Science
Completed by Cesar Balam Espinosa Nuñez
April 4, 2025
16 hours (approximately)
Cesar Balam Espinosa Nuñez'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: Development Environment
- Category: Statistical Programming
- Category: Data Visualization Software
- Category: R (Software)
- Category: Python Programming
- Category: Machine Learning
- Category: GitHub
- Category: Software Development Tools
- Category: Git (Version Control System)
- Category: Jupyter
- Category: R Programming
- Category: Data Science
