Tools for Data Science
Completed by Amey Prithviraj Karpe
February 23, 2019
16 hours (approximately)
Amey Prithviraj Karpe'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: Cloud Hosting
- Category: GitHub
- Category: Statistical Programming
- Category: Data Visualization Software
- Category: Jupyter
- Category: Integrated Development Environments
- Category: Cloud Platforms
- Category: Python Programming
- Category: Cloud Services
- Category: Scikit Learn (Machine Learning Library)
- Category: R Programming
- Category: Git (Version Control System)
