- Machine Learning
- R (Software)
- Data Science
- Open Source Technology
- Application Programming Interface (API)
- GitHub
- Cloud Computing
- Data Visualization Software
- Model Deployment
- Other Programming Languages
- R Programming
- Git (Version Control System)
Tools for Data Science
Completed by Kristin Danielle Ritter
November 24, 2018
17 hours (approximately)
Kristin Danielle Ritter'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