- Web Scraping
- Data Analysis
- Computer Programming
- Data Manipulation
- Programming Principles
- File Management
- Numpy
- Data Import/Export
- Jupyter
- Pandas (Python Package)
- Object Oriented Programming (OOP)
- Restful API
Python for Data Science, AI & Development
Completed by RICKEY DWAYNE MCMULLEN
August 13, 2024
25 hours (approximately)
RICKEY DWAYNE MCMULLEN's account is verified. Coursera certifies their successful completion of Python for Data Science, AI & Development
What you will learn
Develop a foundational understanding of Python programming by learning basic syntax, data types, expressions, variables, and string operations.
Apply Python programming logic using data structures, conditions and branching, loops, functions, exception handling, objects, and classes.
Demonstrate proficiency in using Python libraries such as Pandas and Numpy and developing code using Jupyter Notebooks.
Access and extract web-based data by working with REST APIs using requests and performing web scraping with BeautifulSoup.
Skills you will gain
