- Data Visualization Software
- Data Science
- Other Programming Languages
- Model Deployment
- Open Source Technology
- Python Programming
- R Programming
- Version Control
- Computer Programming Tools
- Git (Version Control System)
- Jupyter
- Big Data
Tools for Data Science
Completed by Cristhian Andrés Luna Navarro
May 20, 2021
17 hours (approximately)
Cristhian Andrés Luna Navarro'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
