Tools for Data Science
Completed by Gene Christian Romuga
February 25, 2024
16 hours (approximately)
Gene Christian Romuga'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
- Category: Cloud Platforms
- Category: Jupyter
- Category: Git (Version Control System)
- Category: Data Visualization Software
- Category: R (Software)
- Category: GitHub
- Category: Other Programming Languages
- Category: Version Control
- Category: Cloud Hosting
- Category: Python Programming
- Category: Scikit Learn (Machine Learning Library)
- Category: Software Development Tools
