- Open Source Technology
- Git (Version Control System)
- Model Deployment
- Machine Learning
- Other Programming Languages
- Jupyter
- Cloud Computing
- R Programming
- R (Software)
- Version Control
- Python Programming
- Data Science
Tools for Data Science
Completed by SATYAVOLU SURYA VAMSI KRISHNA
April 18, 2025
17 hours (approximately)
SATYAVOLU SURYA VAMSI KRISHNA'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
