Programming in Python: Foundations for AI and Data Science

Master the art and science of data-driven problem solving with Python. This hands-on course is designed for learners who want to move beyond Python basics and into the fast-paced world of data science, artificial intelligence, and real-world application development.

Across 10 immersive, AI-guided lessons, you'll gain practical skills in data analysis, visualization, statistics, machine learning, and Python development workflows. Each lesson features real-world scenarios, challenge exercises, and smart agent coaching to help you understand not just how to do something—but why it works.

The course concludes with a powerful Capstone Project, where you'll build a real data-driven Python application that brings together everything you've learned.

Whether you're looking to launch a new career in data science or turbocharge your current role with Python and AI skills, this course delivers a complete, practical path forward.

What You’ll Learn:

• Build intelligent, data-driven Python applications from scratch

• Use pandas, NumPy, and Python to wrangle and explore data

• Visualize insights using Matplotlib and Seaborn like a pro

• Master descriptive and inferential statistics for decision-making

• Apply machine learning for real-world classification and regression

• Leverage NLP, feature engineering, and model evaluation techniques

• Think like a data scientist: ask the right questions and build solutions

Lessons Overview:

1. Python for Data Science – Advanced data types, control flow, and functions

2. Data Wrangling with pandas – Clean, manipulate, and explore datasets

3. Exploratory Data Analysis (EDA) – Uncover hidden trends and patterns

4. Functional Programming and Efficiency – Write clean, modular Python code

5. APIs and Web Data – Connect your app to the real world

6. Text Analytics and NLP – Turn messy text into structured insight

7. Data Visualization – Build powerful plots with Matplotlib and Seaborn

8. Probability & Statistics – Go from intuition to statistical confidence

9. Machine Learning Fundamentals – Classification, regression, and more

10. Real-World ML Workflows – Pipelines, validation, deployment strategies

Capstone Project:

Build a Data-Driven Python Application
In your final project, you'll apply everything you’ve learned to build a complete, professional-grade Python application that solves a real-world data challenge—end to end. From ingesting and cleaning data to modeling and visualizing insights, you’ll walk away with a portfolio-ready project to showcase your skills.

Who Should Enroll:

• Aspiring data scientists and analysts

• Python developers looking to enter the AI/ML space

• Business professionals who want to make data-driven decisions

• Career switchers ready for the world of applied data science

Prerequisites:

• Basic understanding of Python programming

• Curiosity, persistence, and a desire to work with real data