Data Science with Python, Mathematics, and ChatGPT Prompting

Data science is evolving rapidly, and combining traditional programming with artificial intelligence is the modern way to stay ahead. Understanding how to write Python code, apply mathematical models, and guide AI assistants with precise prompts is essential for modern data analysis. This text-based course takes you from absolute beginner to confidently executing data science workflows. You will learn the core mathematical principles behind data analysis, write clean Python scripts, and master prompt engineering techniques to generate, debug, and optimize your data workflows. What you'll learn: - Understand the fundamental mathematics and statistics required for data science, including calculus and linear algebra concepts - Write clean Python code using modern standards, type hints, and essential libraries like NumPy and Pandas - Design effective ChatGPT prompts to generate data analysis scripts, debug errors, and explain complex code - Create data visualizations using Matplotlib to communicate insights clearly and effectively - Apply data manipulation techniques to clean, filter, and structure raw datasets for analysis - Practice building structured data workflows by combining human programming logic with AI assistance You will start with the absolute basics of data terminology and mathematical foundations before moving step-by-step into hands-on Python coding, visual analysis, and AI prompting strategies. This course is designed for absolute beginners who want to enter the world of data science without any prior coding or advanced math experience. Start reading today to build your foundation in data science and AI-assisted programming.