Tools for Data Science
Completed by Felipe Romero Pacheco Segundo Frps
December 30, 2023
16 hours (approximately)
Felipe Romero Pacheco Segundo Frps'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: Scikit Learn (Machine Learning Library)
- Category: Python Programming
- Category: Other Programming Languages
- Category: Version Control
- Category: Software Development Tools
- Category: Cloud Computing
- Category: Computer Programming Tools
- Category: Integrated Development Environments
- Category: R Programming
- Category: Cloud Services
- Category: GitHub
- Category: Cloud Hosting
