Tools for Data Science
Completed by Jean Christian, Bénédicte Playoust
February 18, 2019
16 hours (approximately)
Jean Christian, Bénédicte Playoust'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: Other Programming Languages
- Category: Data Visualization Software
- Category: Open Source Technology
- Category: Data Science
- Category: Statistical Programming
- Category: GitHub
- Category: Software Development Tools
- Category: Machine Learning
- Category: Python Programming
- Category: Development Environment
- Category: Cloud Hosting
- Category: Jupyter
