- Open Source Technology
- Git (Version Control System)
- Model Deployment
- Machine Learning
- Other Programming Languages
- Jupyter
- Cloud Computing
- R Programming
- R (Software)
- Version Control
- Python Programming
- Data Science
Tools for Data Science
Completed by Melda Telkök
July 28, 2023
17 hours (approximately)
Melda Telkök'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
