Tools for Data Science
Completed by Jennyfer Alexandra Rojas Elescano
May 10, 2024
16 hours (approximately)
Jennyfer Alexandra Rojas Elescano'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 Services
- Category: Cloud API
- Category: Statistical Programming
- Category: Integrated Development Environments
- Category: Data Visualization Software
- Category: Computer Programming Tools
- Category: Cloud Computing
- Category: GitHub
- Category: Cloud Hosting
- Category: Software Development Tools
- Category: R (Software)
- Category: Other Programming Languages
