Tools for Data Science
Completed by Daniel S. Senise
July 1, 2024
16 hours (approximately)
Daniel S. Senise '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: Statistical Programming
- Category: Cloud Services
- Category: Cloud API
- Category: Computer Programming Tools
- Category: Software Development Tools
- Category: R (Software)
- Category: GitHub
- Category: Cloud Computing
- Category: Cloud Hosting
- Category: Other Programming Languages
- Category: Version Control
- Category: Python Programming
