Tools for Data Science
Completed by Luis Arturo Ayala Hernández
April 14, 2019
16 hours (approximately)
Luis Arturo Ayala Hernández'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: Cloud Hosting
- Category: Data Visualization Software
- Category: Scikit Learn (Machine Learning Library)
- Category: Integrated Development Environments
- Category: Cloud Platforms
- Category: Jupyter
- Category: GitHub
- Category: Git (Version Control System)
- Category: Data Science
- Category: Cloud Computing
- Category: Cloud Services
- Category: Python Programming
