AI for Data Analytics & Power BI

The question: Where do I stand, and what can AI do for me today?

You will learn:

• How AI works and why confident answers can be wrong

• What is safe to share with AI

• How to ask clearly: context, goal, format, example

You will be able to:

• Identify your target roles and skill gaps

• Match your experience to real job descriptions

• Write a stronger LinkedIn headline with Claude and ChatGPT, and check it

You leave with: Target role list, skill gap list, and a stronger LinkedIn headline.

The question: How do I get to the insight faster and still trust it?

You will learn:

• Using AI to profile an unfamiliar dataset

• Turning a vague request into business questions

• Three checks for every AI answer

You will be able to:

• Find data quality issues in an unfamiliar dataset

• Identify patterns and possible explanations

• Prove or reject any AI finding using the data

You leave with: A reusable data exploration request and your personal checking routine.

The question: How do I use AI for SQL without trusting it blindly?

You will learn:

• Giving AI your table structure and business rule

• Asking AI to explain and improve a query

• Validating with row counts and totals

You will be able to:

• Generate SQL queries for real business questions

• Debug a query that returns the wrong result

• Reconcile query results with known totals

You leave with: A tested set of SQL requests and your first progress review.

The question: How do I bring what I already know into strong Power BI work?

You will learn:

• Power Query and data model refresher

• Filter context, the idea behind most DAX errors

• Copilot in Power BI: an awareness overview

You will be able to:

• Clean and model a dataset in Power BI

• Write and test DAX measures with AI assistance

• Translate expressions from other BI tools into DAX

You leave with: A clean data model and tested core measures for your project.

The question: What would a hiring manager want to see?

You will learn:

• Starting from a business question, not a chart

• Choosing visuals that support a decision

• Using AI to critique a dashboard

You will be able to:

• Design a dashboard around your target role

• Build report pages in Power BI

• Verify every headline number before you publish

You leave with: A working Power BI dashboard you can show.

The question: How do I make my capabilities obvious to a recruiter?

You will learn:

• Writing a project story: problem, approach, result

• What recruiters look for on a profile and resume

• Keeping your own voice when AI helps you write

You will be able to:

• Write a clear project summary with key insights

• Present your experience clearly on LinkedIn

• Tailor your resume to a real job description

You leave with: A LinkedIn ready profile, a tailored resume, a project summary, and your second progress review.

The question: What exactly should I do every day?

You will learn:

• Choosing relevant people and roles

• Writing posts and messages that are specific and honest

• Following up without being pushy

You will be able to:

• Build a target list of people and roles

• Create posts, responses, and reach outs with the LinkedIn outreach tool

• Track your connections, applications, and follow ups

You leave with: Your first outreach completed and a daily routine you can repeat.

The question: Can I explain my work with confidence?

You will learn:

• Presenting a project in a few clear minutes

• Answering how you used and checked AI

• Planning your next steps after the course

You will be able to:

• Present your dashboard with confidence

• Answer recruiter and hiring manager questions

• Complete your Playbook and a 30 day plan

You leave with: A presented project, interview practice, your finished Playbook, and a final progress review.

The question: What can I show an employer?

You will learn:

• Choosing a business problem worth solving

• What a finished, defensible project includes

• How to show the value of your insights

You will be able to:

• Complete a Power BI project from question to insight

• Document how you used and checked AI

• Present your result and your Playbook

You leave with: A finished project to show on LinkedIn, discuss with recruiters, and explain in interviews.