Tools for Data Science
Completed by Kübra Yüksekkaya Yazıcı
December 24, 2022
16 hours (approximately)
Kübra Yüksekkaya Yazıcı'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: Query Languages
- Category: Open Source Technology
- Category: Application Programming Interface (API)
- Category: Data Visualization Software
- Category: Development Environment
- Category: Statistical Programming
- Category: R (Software)
- Category: Cloud Hosting
- Category: Git (Version Control System)
- Category: Machine Learning
- Category: Other Programming Languages
- Category: GitHub
