Tools for Data Science
Completed by Arthur Freddy Tchuente Tagne
April 27, 2023
16 hours (approximately)
Arthur Freddy Tchuente Tagne'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: Development Environment
- Category: Data Visualization Software
- Category: Other Programming Languages
- Category: Cloud Platforms
- Category: Cloud Computing
- Category: Open Source Technology
- Category: Python Programming
- Category: Data Analysis Software
- Category: R Programming
- Category: Application Programming Interface (API)
- Category: Computer Programming Tools
