Tools for Data Science
Completed by Ikechukwu Isaac Collins
October 13, 2018
16 hours (approximately)
Ikechukwu Isaac Collins'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: Jupyter
- Category: Machine Learning
- Category: Statistical Programming
- Category: Python Programming
- Category: Application Programming Interface (API)
- Category: Cloud Computing
- Category: Query Languages
- Category: Software Development Tools
- Category: Data Science
- Category: R Programming
- Category: Cloud Hosting
- Category: Development Environment
