Tools for Data Science
Completed by Sebastián Miguel Barrozo Bruhn
September 17, 2019
16 hours (approximately)
Sebastián Miguel Barrozo Bruhn'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: Python Programming
- Category: Scikit Learn (Machine Learning Library)
- Category: Software Development Tools
- Category: R (Software)
- Category: Statistical Programming
- Category: Computer Programming Tools
- Category: Other Programming Languages
- Category: Version Control
- Category: Data Visualization Software
- Category: Cloud Platforms
- Category: Jupyter
- Category: R Programming
