- 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 Daniel Mata Euzébio
October 24, 2022
17 hours (approximately)
Daniel Mata Euzébio'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 tools
Utilize languages commonly used by data scientists like Python, R, and SQL
Demonstrate working knowledge of tools such as Jupyter notebooks and RStudio and utilize their various features
Create and manage source code for data science using Git repositories and GitHub.
Skills you will gain
