Tools for Data Science
Completed by Kyle Millay Patrick
April 26, 2020
17 hours (approximately)
Kyle Millay Patrick'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: Computer Programming Tools
- Category: Data Science
- Category: Other Programming Languages
- Category: R Programming
- Category: Cloud Platforms
- Category: Jupyter
- Category: Git (Version Control System)
- Category: Application Programming Interface (API)
- Category: Data Analysis Software
- Category: Cloud Computing
- Category: Development Environment
