- Query Languages
- Machine Learning
- Data Visualization Software
- IBM Cloud
- Data Science
- Jupyter
- Cloud Computing
- Git (Version Control System)
- Python Programming
- Version Control
- GitHub
- Computer Programming Tools
Tools for Data Science
Completed by Eduardo Jorge Gonzalez Najibe
January 29, 2023
18 hours (approximately)
Eduardo Jorge Gonzalez Najibe'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

