Tools for Data Science
Completed by Konstantinos Balaskonis
October 8, 2019
16 hours (approximately)
Konstantinos Balaskonis'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: Other Programming Languages
- Category: Version Control
- Category: Git (Version Control System)
- Category: Data Science
- Category: Integrated Development Environments
- Category: R (Software)
- Category: Software Development Tools
- Category: R Programming
- Category: Computer Programming Tools
- Category: Python Programming
- Category: Scikit Learn (Machine Learning Library)
- Category: Cloud Computing
