Tools for Data Science
Completed by Raymond Keith Crawford
February 4, 2020
16 hours (approximately)
Raymond Keith Crawford'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: Query Languages
- Category: Git (Version Control System)
- Category: Jupyter
- Category: Cloud Platforms
- Category: Data Analysis Software
- Category: Application Programming Interface (API)
- Category: Rmarkdown
- Category: Python Programming
- Category: Statistical Programming
- Category: R Programming
- Category: Software Development Tools
