- Data Visualization Software
- Data Science
- Other Programming Languages
- Model Deployment
- Open Source Technology
- Python Programming
- R Programming
- Version Control
- Computer Programming Tools
- Git (Version Control System)
- Jupyter
- Big Data
Tools for Data Science
Completed by David Vance
May 31, 2024
17 hours (approximately)
David Vance'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

