Tools for Data Science
Completed by William Waboke Rupert
December 19, 2020
16 hours (approximately)
William Waboke Rupert'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: Python Programming
- Category: Scikit Learn (Machine Learning Library)
- Category: Computer Programming Tools
- Category: Statistical Programming
- Category: Cloud Computing
- Category: R (Software)
- Category: Software Development Tools
- Category: Version Control
- Category: Other Programming Languages
- Category: Integrated Development Environments
- Category: Data Visualization Software
- Category: Cloud Services
