Tools for Data Science
Completed by Alberto de Jesús Bencomo Padilla
December 28, 2024
16 hours (approximately)
Alberto de Jesús Bencomo Padilla'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: Other Programming Languages
- Category: Version Control
- Category: Software Development Tools
- Category: R (Software)
- Category: Python Programming
- Category: Scikit Learn (Machine Learning Library)
- Category: Statistical Programming
- Category: Cloud Services
- Category: Cloud API
- Category: Data Visualization Software
- Category: Integrated Development Environments
- Category: Cloud Platforms
