Tools for Data Science
Completed by Kwabena Poku-Agyemang
November 22, 2024
16 hours (approximately)
Kwabena Poku-Agyemang'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: Scikit Learn (Machine Learning Library)
- Category: Version Control
- Category: R (Software)
- Category: Software Development Tools
- Category: Git (Version Control System)
- Category: Data Science
- Category: Statistical Programming
- Category: Python Programming
- Category: Cloud API
- Category: Computer Programming Tools
- Category: Cloud Computing
- Category: R Programming
