Tools for Data Science
Completed by Nicholas John Wilhelm Kühne
June 26, 2019
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 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: Application Programming Interface (API)
- Category: Cloud Computing
- Category: Data Science
- Category: Jupyter
- Category: Statistical Programming
- Category: Other Programming Languages
- Category: Git (Version Control System)
- Category: R (Software)
- Category: Software Development Tools
- Category: Machine Learning
- Category: Python Programming
- Category: Data Visualization Software
