- R Programming
- GitHub
- R (Software)
- Development Environment
- Open Source Technology
- Python Programming
- Machine Learning
- Application Programming Interface (API)
- Data Science
- Version Control
- Cloud Computing
- Git (Version Control System)
Tools for Data Science
Completed by MARTIN ENRIQUE MOLINARES ARAUJO
February 19, 2022
17 hours (approximately)
MARTIN ENRIQUE MOLINARES ARAUJO'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
