top of page
Python for Data Science, AI & Development

Python for Data Science, AI & Development 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.

 

What You’ll Learn

  • 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

 

Course Description

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. You'll also learn how to pull real-time data from the web, interact with APIs, and scrape websites for information using BeautifulSoup.

Hands-on labs reinforce every concept, allowing you to practice inside Jupyter Notebooks and apply Python to real-world tasks. By the end of the course, you’ll be able to build simple applications, manipulate and analyze data, and automate everyday processes.

 

Who This Course Is For

This course is ideal for beginners and career changers interested in fields such as:

  • Data Science

  • Data Analytics

  • Software Development

  • Data Engineering

  • Artificial Intelligence / Machine Learning

  • DevOps & Cloud Engineering

  • General technology and automation roles

 

No prior programming experience is needed — just curiosity and a willingness to learn.

Python for Data Science, AI & Development

    bottom of page