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Generative AI for Data Analysts: Prompt Engineering and AI-Powered Workflows

A free learning path that teaches data analysts how to use generative AI tools like ChatGPT for data analysis, from prompt engineering basics to building AI-assisted workflows.

Learn from: the original creator. Original content published on YouTube. DigitalSkillX organizes these public resources into a structured learning path. DigitalSkillX does not claim ownership or partnership.

Lessons
14
Time
About 1 hr 47 min
Level
beginner

Now playing: Generative AI for Data Analysts | Master AI-Powered Data Analysis | Prompt Engineering

About this path

This learning path is built from the Tech Classes YouTube playlist 'Generative AI for Data Analyst Full Course 2025'. It starts with the fundamentals of generative AI and its role in data analysis, then covers prompt engineering principles and techniques. You'll learn how to craft effective prompts, use zero-shot, few-shot, chain-of-thought, interview pattern, and persona pattern prompting. Later lessons show how to apply these skills to real data analysis tasks, including setting up a data analysis framework, generating project ideas, and writing SQL and Python with AI assistance. The path is suitable for beginners, career switchers, and working professionals who want to speed up and improve their data analysis work.

What you will learn

  • Understand what generative AI is and how data analysts use it
  • Learn the fundamentals of prompt engineering and why it matters
  • Apply different prompting techniques like zero-shot, few-shot, and chain-of-thought
  • Use AI to build a data analysis framework and generate project ideas
  • Automate data analytics workflows and write SQL and Python with AI assistance

Who this is for

Beginners who want a structured free introduction before deeper practice.

Curriculum

Section 1: Introduction to Generative AI for Data Analysts

  1. Lesson 1: Generative AI for Data Analysts | Master AI-Powered Data Analysis | Prompt Engineering

    This is the introductory video of the course. It sets the stage for learning how generative AI can transform data analysis work. The video explains the course structure and what you'll learn, including prompt engineering and AI-powered data analysis.

    Open on YouTube
  2. Lesson 2: What is Generative AI | How Data Analysts Use It & Its Limitations | Generative AI for Data Analysts

    This video defines generative AI and explains how data analysts use it in their work. It also covers the limitations of generative AI, such as potential inaccuracies and the need for human oversight. You'll learn practical use cases and what to watch out for.

    Open on YouTube

Section 2: Prompt Engineering Fundamentals

  1. Lesson 3: What is Prompt Engineering? | Generative AI for Data Analysts | Generative AI Course

    This lesson introduces prompt engineering, the practice of designing inputs to get the best responses from AI. It explains why prompt engineering is important and shows examples of poor versus well-engineered prompts. You'll see how a good prompt can make a big difference in the quality of AI output.

    Open on YouTube
  2. Lesson 4: Building Blocks of Good Prompts | Prompt Engineering Course | Generative AI for Data Analysts

    This video covers the building blocks of effective prompts. You'll learn what components make a prompt clear and specific, which helps AI give more accurate and useful responses. The lesson focuses on practical tips for constructing prompts that get the desired results.

    Open on YouTube
  3. Lesson 5: Process Involved in Prompt Engineering | Generative AI for Data Analysts | Generative AI Tutorial

    This short lesson explains the process involved in prompt engineering. It walks through the steps of creating and refining prompts to improve AI responses. You'll learn a systematic approach to prompt design that you can apply to your own work.

    Open on YouTube

Section 3: Prompting Techniques

  1. Lesson 6: Zero Shot Prompting Explained with Examples | Prompting Techniques | Prompt Engineering

    This video explains zero-shot prompting, where you ask the AI to perform a task without providing examples. It includes examples to show how this technique works and when it's useful. You'll learn how to use zero-shot prompts effectively in data analysis.

    Open on YouTube
  2. Lesson 7: Few Shot Prompting Technique | Prompt Engineering Course | Prompting Technique

    This lesson covers few-shot prompting, a technique where you give the AI a few examples to guide its responses. The video demonstrates how few-shot prompting can improve accuracy and consistency. You'll see examples and learn how to apply this technique.

    Open on YouTube
  3. Lesson 8: Chain of Thought Prompting Technique | Prompt Engineering Course | Prompting Technique

    This video introduces chain-of-thought prompting, which encourages the AI to reason step by step. This technique is useful for complex data analysis tasks that require logical thinking. You'll learn how to structure prompts to get more thoughtful and accurate answers.

    Open on YouTube
  4. Lesson 9: Interview Pattern Prompting | Prompt Engineering | Generative AI for Data Analyst

    This lesson covers the interview pattern prompting technique. You'll learn how to use a back-and-forth question style to get the AI to provide more detailed and relevant information. This can be helpful for exploring data analysis problems interactively.

    Open on YouTube
  5. Lesson 10: Persona Pattern ChatGPT | Prompt Engineering | Generative AI for Data Analyst

    This video explains the persona pattern, where you instruct the AI to adopt a specific role or persona. This can help tailor responses to a particular perspective, such as a data analyst or business stakeholder. You'll see examples of how to use persona prompts effectively.

    Open on YouTube

Section 4: Applying AI to Data Analysis Workflows

  1. Lesson 11: How Top Data Analysts Make AI Understand Their Data | Make Data Analysis 10X Faster

    This lesson shows how top data analysts set up AI to understand their data using a data analysis framework. You'll learn how to give context to AI so it can assist with your specific analysis tasks. This can make your data analysis work much faster and more efficient.

    Open on YouTube
  2. Lesson 12: This ChatGPT Prompt will give you Data Analyst Project | Data Analysis Framework

    This video demonstrates a ChatGPT prompt that generates data analyst project ideas. You'll learn how to use AI to come up with real-world business problems that can be solved with data. This is useful for building your portfolio or practicing your skills.

    Open on YouTube
  3. Lesson 13: How I Use ChatGPT to Build Data Analytics Workflow STRATEGY (Saving Hours of Work!)

    This lesson shows how to use ChatGPT to build a data analytics workflow strategy. You'll see how AI can help streamline and automate tasks, saving hours of work. The video covers practical ways to integrate AI into your daily workflow.

    Open on YouTube
  4. Lesson 14: How I Use ChatGPT to Write SQL & Python without any Error | Generative AI for Data Analyst

    This final lesson demonstrates how to use generative AI to write SQL queries and Python code without errors. You'll also learn how to document your data analysis reports using AI. This video ties together the course skills to boost your productivity as a data analyst.

    Open on YouTube

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