Introduction

Welcome to the AI-Assisted Data Analysis Module 🚀

Welcome to the Data Analysis AI-Assisted Coding online module! This module will introduce you to the fundamentals of data analysis, as well as the powerful role Large Language Models (LLMs) can play in assisting you with data analysis, data science, and mathematical modeling.

LLMs, such as OpenAI ChatGPT, Google Gemini, and Anthropic Claude, are advanced AI models that can generate programming code, assist with debugging, explain concepts, and optimize your analysis workflow and learning. If you come from a non-computer science background and are using code to perform data analysis, these tools can be a game-changer.

Our goal is to equip you with the skills to use LLMs effectively, while also ensuring that you keep learning and strengthening your core Python skills along the way.

What is Data Analysis? 📊

Data analysis is the process of exploring, cleaning, transforming, and interpreting data to extract meaningful insights and support decision-making. It involves using statistical techniques, data visualization, and querying tools to identify patterns, trends, and correlations within datasets. Analysts work with structured and unstructured data and leveraging tools like Excel and Python (Pandas). The goal of data analysis is to provide actionable insights that help organizations optimize processes, improve performance, and make informed business decisions.

Why Use LLMs for Data Analysis & Mathematical Modeling? 🤖

LLMs can help you:

  • 🎯 Accelerate learning and allow you to focus on applying domain knowledge rather than struggling with programming challenges
  • ⚡ Write advanced data analysis scripts with minimal coding effort
  • 🔍 Provide explanations, debug errors, and optimize performance
  • 💡 Offer alternative solutions and spark new ideas

However, while LLMs are powerful, they are not perfect. They can generate incorrect or non-functional code. A key focus of this module is to help you develop your data analysis skills while learning to use AI effectively—validating outputs, building your fundamentals, and growing as a capable analyst. We’ll cover these Core Principles throughout the module.

🚫 What This Module Is Not

This module is not about:

  • Replacing learning with AI-generated answers
  • Copying code without understanding it
  • Treating AI output as automatically correct

Module Details ⏱️

  • Estimated Completion Time: 1.5 - 2 hours
  • Access: You can return to this content at any time
  • Programming Language: Examples are in Python, but the concepts apply to other languages
  • AI Skills: The skills learnt for AI based learning will be applicable to any domain you need to learn in the future

In this module, you will learn about:

  • 🧱 Learn the fundamentals of data analysis
  • 🎯 LLM Capabilities and Limitations for Data Science
  • ✍️ Writing Effective Prompts to Assist with Data Science
  • 📚 Developing Your Skills While Working with LLMs
  • 🐛 Validating and Debugging Data Science Code
  • 🌟 Practicing Responsible AI