Tools for Data Science
Completed by PIYAWASIN PIKROR-NGARN
November 26, 2020
17 hours (approximately)
PIYAWASIN PIKROR-NGARN'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: Development Environment
- Category: Data Visualization Software
- Category: Cloud Services
- Category: Git (Version Control System)
- Category: R (Software)
- Category: GitHub
- Category: Open Source Technology
- Category: Machine Learning
- Category: R Programming
- Category: Data Management
- Category: Other Programming Languages
- Category: Cloud Computing
