Tools for Data Science
Completed by Paul Seun Olura
August 31, 2020
16 hours (approximately)
Paul Seun Olura'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: Cloud Services
- Category: R (Software)
- Category: Jupyter
- Category: Scikit Learn (Machine Learning Library)
- Category: Other Programming Languages
- Category: Data Science
- Category: Cloud Computing
- Category: Cloud Hosting
- Category: Git (Version Control System)
- Category: Data Visualization Software
- Category: Software Development Tools
- Category: Computer Programming Tools
