Tools for Data Science
Completed by Marcial Galván Sosa
July 24, 2024
16 hours (approximately)
Marcial Galván Sosa'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 tools
Utilize languages commonly used by data scientists like Python, R, and SQL
Demonstrate working knowledge of tools such as Jupyter notebooks and RStudio and utilize their various features
Create and manage source code for data science using Git repositories and GitHub.
Skills you will gain
- Category: R (Software)
- Category: Data Science
- Category: Cloud Computing
- Category: Computer Programming Tools
- Category: Cloud Hosting
- Category: GitHub
- Category: Jupyter
- Category: Git (Version Control System)
- Category: Other Programming Languages
- Category: Python Programming
- Category: Software Development Tools
- Category: Scikit Learn (Machine Learning Library)
