Tools for Data Science
Completed by Michael Erick Argarin
January 28, 2021
16 hours (approximately)
Michael Erick Argarin'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: Computer Programming Tools
- Category: Cloud Hosting
- Category: Version Control
- Category: Other Programming Languages
- Category: Git (Version Control System)
- Category: Python Programming
- Category: Scikit Learn (Machine Learning Library)
- Category: R (Software)
- Category: Software Development Tools
- Category: Data Science
- Category: Statistical Programming
- Category: R Programming
