- Computer Programming Tools
- R Programming
- Big Data
- Data Science
- Jupyter
- Open Source Technology
- Git (Version Control System)
- Cloud Computing
- Application Programming Interface (API)
- GitHub
- Development Environment
- Statistical Programming
Tools for Data Science
Completed by JEFFERSON FELIPE ROSA VIEGAS
February 22, 2022
17 hours (approximately)
JEFFERSON FELIPE ROSA VIEGAS'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
