Tools for Data Science
Completed by Leo Antony
June 24, 2023
16 hours (approximately)
Leo Antony'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: Integrated Development Environments
- Category: Cloud Platforms
- Category: Jupyter
- Category: Other Programming Languages
- Category: R Programming
- Category: Cloud Computing
- Category: Version Control
- Category: Data Visualization Software
- Category: Cloud Services
- Category: Cloud API
