- Version Control
- Statistical Programming
- Development Environment
- Data Visualization Software
- Data Science
- Computer Programming Tools
- R (Software)
- Git (Version Control System)
- Query Languages
- Other Programming Languages
- IBM Cloud
- Jupyter
Tools for Data Science
Completed by Siva Ram Korakutty
February 25, 2023
18 hours (approximately)
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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