Tools for Data Science
Completed by Ulises Aparicio Saucedo
January 27, 2020
16 hours (approximately)
Ulises Aparicio Saucedo'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: Python Programming
- Category: Git (Version Control System)
- Category: Data Science
- Category: Software Development Tools
- Category: R (Software)
- Category: Computer Programming Tools
- Category: Statistical Programming
- Category: Cloud Hosting
- Category: Cloud Services
- Category: Cloud API
- Category: GitHub
- Category: Cloud Computing
