Tools for Data Science
Completed by Inês Pipa
August 8, 2019
16 hours (approximately)
Inês Pipa'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: Version Control
- Category: Data Visualization Software
- Category: Integrated Development Environments
- Category: Cloud Platforms
- Category: Jupyter
- Category: Git (Version Control System)
- Category: Data Science
- Category: Python Programming
- Category: Scikit Learn (Machine Learning Library)
- Category: Other Programming Languages
- Category: R (Software)
- Category: Software Development Tools
