Tools for Data Science
Completed by Filipe Augusto de Mello Sá
October 17, 2019
16 hours (approximately)
Filipe Augusto de Mello Sá'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: Version Control
- Category: Other Programming Languages
- Category: R Programming
- Category: Jupyter
- Category: Data Visualization Software
- Category: Cloud Platforms
- Category: Python Programming
- Category: Scikit Learn (Machine Learning Library)
- Category: Computer Programming Tools
- Category: Cloud Hosting
- Category: Cloud Services
- Category: Cloud API
