- File I/O
- Pandas (Python Package)
- Scripting
- Data Analysis
- Restful API
- Application Programming Interface (API)
- NumPy
- Object Oriented Programming (OOP)
- Jupyter
- Web Scraping
- Data Structures
- Data Processing
Python for Data Science, AI & Development
Completed by Neha chowdary Amaraneni
July 17, 2023
25 hours (approximately)
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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.