Tools for Data Science
Completed by Robert Bauer
December 5, 2022
16 hours (approximately)
Robert Bauer'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 Visualization Software
- Category: Scikit Learn (Machine Learning Library)
- Category: R Programming
- Category: Application Programming Interface (API)
- Category: Statistical Programming
- Category: Query Languages
- Category: Data Analysis Software
- Category: Data Science
- Category: Software Development Tools
- Category: R (Software)
- Category: Git (Version Control System)
