Tools for Data Science
Completed by Mario Scovenna
June 11, 2024
16 hours (approximately)
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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: Data Analysis Software
- Category: Data Visualization Software
- Category: Computer Programming Tools
- Category: R Programming
- Category: Rmarkdown
- Category: Jupyter
- Category: Software Development Tools
- Category: GitHub
- Category: Other Programming Languages
- Category: R (Software)
- Category: Scikit Learn (Machine Learning Library)
- Category: Git (Version Control System)
