Tools for Data Science
Completed by GASPAR ANDRĖS GOYCOOLEA SONE
January 22, 2024
16 hours (approximately)
GASPAR ANDRĖS GOYCOOLEA SONE'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: Git (Version Control System)
- Category: Data Science
- Category: Computer Programming Tools
- Category: R Programming
- Category: Data Visualization Software
- Category: Cloud Platforms
- Category: Jupyter
- Category: Software Development Tools
- Category: R (Software)
- Category: Python Programming
- Category: Scikit Learn (Machine Learning Library)
- Category: GitHub
