Tools for Data Science
Completed by Lorenzo Cirulli
November 11, 2020
16 hours (approximately)
Lorenzo Cirulli'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: Git (Version Control System)
- Category: Data Science
- Category: Cloud Computing
- Category: Computer Programming Tools
- Category: Statistical Programming
- Category: R Programming
- Category: Version Control
- Category: Other Programming Languages
- Category: Jupyter
- Category: R (Software)
- Category: Software Development Tools
- Category: Python Programming
