Tools for Data Science
Completed by Arun Ambadas Addagatla
January 14, 2020
16 hours (approximately)
Arun Ambadas Addagatla'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: Jupyter
- Category: Data Science
- Category: R Programming
- Category: Data Visualization Software
- Category: Cloud Computing
- Category: Software Development Tools
- Category: R (Software)
- Category: Other Programming Languages
- Category: Application Programming Interface (API)
- Category: Statistical Programming
- Category: Development Environment
- Category: Machine Learning
