Python for Data Science, AI & Development

Artificial Intelligence

Python for Data Science, AI & Development

This course is a beginner-friendly, self-paced course that teaches the foundational programming skills needed for data science, software development, AI, automation, and modern tech roles.

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Included with Skilldacity Membership

About This Course

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This course is a beginner-friendly, self-paced course that teaches the foundational programming skills needed for data science, software development, AI, automation, and modern tech roles. No prior coding experience is required — this course takes you from absolute beginner to confident Python practitioner through clear explanations and hands-on practice. This course begins with the basics of Python syntax and quickly builds toward more advanced concepts.

You'll learn how to write clean, efficient programs and gain hands-on experience solving real problems. As you progress, you’ll explore how Python powers data workflows — from manipulating datasets with Pandas to performing numerical computing with NumPy.

What You’ll Learn

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Core Python fundamentals: syntax, data types, variables, expressions, and string operations
Programming logic: conditions and branching, loops, functions, exception handling, and object-oriented programming
Data structures: lists, tuples, dictionaries, and sets — how to create, store, and manipulate data
Essential Python libraries: use NumPy and Pandas for data analysis and transformation
File handling: read from and write to files, work with common file formats
Web data extraction: work with REST APIs using requests and perform web scraping with BeautifulSoup
Coding environments: write, test, and document code using Jupyter Notebooks