Tools for Data Science
Completed by Devin Mize
April 9, 2020
16 hours (approximately)
Devin Mize'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: Statistical Programming
- Category: Other Programming Languages
- Category: Cloud Platforms
- Category: Computer Programming Tools
- Category: Python Programming
- Category: Cloud Hosting
- Category: Software Development Tools
- Category: Data Visualization Software
- Category: Application Programming Interface (API)
- Category: Query Languages
- Category: R Programming
- Category: Rmarkdown

