- Development Environment
- Application Programming Interface (API)
- Computer Programming Tools
- Statistical Programming
- Open Source Technology
- GitHub
- R (Software)
- Git (Version Control System)
- Python Programming
- Version Control
- R Programming
- Jupyter
Tools for Data Science
Completed by Boryana Yordanova Koparanova
April 13, 2020
17 hours (approximately)
Boryana Yordanova Koparanova'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
