- Machine Learning
- Model Deployment
- Data Science
- Other Programming Languages
- Application Programming Interface (API)
- Data Visualization Software
- Big Data
- Version Control
- Computer Programming Tools
- Jupyter
- R (Software)
- Git (Version Control System)
Tools for Data Science
Completed by Albert Peguero González
April 21, 2020
17 hours (approximately)
Albert Peguero González'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
