- Development Environment
- Jupyter
- Data Science
- Computer Programming
- Debugging
- Programming Principles
- Data Structures
- Software Installation
- Software Documentation
- Python Programming
Programming for Data Science
Completed by VILOJAN MAHALINGAM
June 28, 2024
8 hours (approximately)
VILOJAN MAHALINGAM's account is verified. Coursera certifies their successful completion of Programming for Data Science
What you will learn
Open Jupyter Notebook and use it to run Python code.
Identify Python operators, data types and containers.
Program control structures in Python, such as if statements and for and while loops.
Write Python functions that take input and return output.
Skills you will gain
