Tools for Data Science
Completed by Carolina Sedano Banninger
November 27, 2018
16 hours (approximately)
Carolina Sedano Banninger'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 Visualization Software
- Category: Open Source Technology
- Category: Software Development Tools
- Category: Python Programming
- Category: Cloud Computing
- Category: R (Software)
- Category: Jupyter
- Category: R Programming
- Category: GitHub
- Category: Statistical Programming
- Category: Cloud Hosting
