- Data Visualization Software
- Git (Version Control System)
- Big Data
- Other Programming Languages
- Statistical Programming
- IBM Cloud
- Jupyter
- Development Environment
- Data Science
- Version Control
- Query Languages
- GitHub
Tools for Data Science
Completed by Şafak Şahin
August 11, 2023
18 hours (approximately)
Şafak Şahin'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
