- Big Data
- Data Science
- Application Programming Interface (API)
- Open Source Technology
- Machine Learning
- Version Control
- Other Programming Languages
- R Programming
- Python Programming
- Git (Version Control System)
- R (Software)
- Cloud Computing
Tools for Data Science
Completed by Juan Esteban Hernandez Alvarez
April 11, 2020
17 hours (approximately)
Juan Esteban Hernandez Alvarez'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
