- Git (Version Control System)
- R (Software)
- Application Programming Interface (API)
- R Programming
- Python Programming
- Open Source Technology
- GitHub
- Big Data
- Model Deployment
- Data Science
- Machine Learning
- Version Control
Tools for Data Science
Completed by Nada Youssef Abd El-Moaz Raslan
October 21, 2023
17 hours (approximately)
Nada Youssef Abd El-Moaz Raslan'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
