Tools for Data Science
Completed by Pierre-Alain Castella
February 16, 2024
16 hours (approximately)
Pierre-Alain Castella'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: Software Development Tools
- Category: R (Software)
- Category: Cloud Computing
- Category: Python Programming
- Category: Git (Version Control System)
- Category: GitHub
- Category: Jupyter
- Category: Machine Learning
- Category: Cloud Hosting
- Category: Other Programming Languages
- Category: Open Source Technology
- Category: Statistical Programming
