Essential Tools for Data Scientists: Git, Jupyter & More
Completed by Antreas Oikonomou
March 3, 2020
16 hours (approximately)
Antreas Oikonomou's account is verified. Coursera certifies their successful completion of Essential Tools for Data Scientists: Git, Jupyter & More
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: Query Languages
- Category: Version Control
- Category: Data Analysis Software
- Category: Other Programming Languages
- Category: Computer Programming Tools
- Category: Git (Version Control System)
- Category: Data Science
- Category: Cloud Hosting
- Category: R Programming
- Category: Cloud Platforms
- Category: Jupyter
