- R (Software)
- Git (Version Control System)
- Computer Programming Tools
- Data Science
- Statistical Programming
- Big Data
- Open Source Technology
- Application Programming Interface (API)
- R Programming
- Cloud Computing
- Other Programming Languages
- Development Environment
Tools for Data Science
Completed by Daniela Calderon Görcke
March 12, 2021
18 hours (approximately)
Daniela Calderon Görcke'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
