- Software Versioning
- IBM Cloud
- Software Development Tools
- Artificial Intelligence and Machine Learning (AI/ML)
- Computer Science
- Python Programming
- Version Control
- Machine Learning
- Data Science
- Computer Programming
- Application Programming Interface (API)
- Cloud Computing
Tools for Data Science
Completed by Abhishek Gupta
January 10, 2024
18 hours (approximately)
Abhishek Gupta'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