- Machine Learning
- Computer Programming Tools
- Jupyter
- Cloud Computing
- Git (Version Control System)
- Open Source Technology
- R (Software)
- Python Programming
- Other Programming Languages
- Data Visualization Software
- Big Data
- Model Deployment
Tools for Data Science
Completed by Doga Güz
November 20, 2022
17 hours (approximately)
Doga Güz'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
