Tools for Data Science
Completed by Rubén J. Romo
November 25, 2018
16 hours (approximately)
Rubén J. Romo'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 tools
Utilize languages commonly used by data scientists like Python, R, and SQL
Demonstrate working knowledge of tools such as Jupyter notebooks and RStudio and utilize their various features
Create and manage source code for data science using Git repositories and GitHub.
Skills you will gain
- Category: Software Development Tools
- Category: Cloud Platforms
- Category: Other Programming Languages
- Category: Cloud Hosting
- Category: Data Analysis Software
- Category: Application Programming Interface (API)
- Category: Data Visualization Software
- Category: Query Languages
- Category: Python Programming
- Category: R Programming
- Category: Git (Version Control System)
- Category: Data Science
