- Version Control
- Other Programming Languages
- Python Programming
- Big Data
- Application Programming Interface (API)
- Data Science
- Machine Learning
- Model Deployment
- Open Source Technology
- Computer Programming Tools
- Cloud Computing
- GitHub
Tools for Data Science
Completed by Alicia Beneyto Rodríguez
September 2, 2024
17 hours (approximately)
Alicia Beneyto Rodríguez'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
