Professional skills

Microsoft Power BI Data Analysis

Build practical skills in data preparation with power query and data models and dax calculations.

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THE BIG PICTURE

About this course

Microsoft Power BI Data Analysis develops your understanding of data preparation with power query. The learning path connects data models and dax calculations with report design and visual storytelling, then brings these ideas together through publishing access and data refresh. Use the course outline to discuss the scope that fits your role, current experience, and team objectives. A suitable training plan should connect each concept to a relevant work scenario, give you opportunities to explain decisions, and make time for questions and feedback. For certification-related topics, this listing describes training or study support, not an official credential or a claim of authorized training-partner status. Check the current awarding-body requirements and exam version with your advisor. Contact MindClick for the delivery format, teaching language, instructor profile, duration, dates, and a written fee proposal. These details are confirmed for your individual or team inquiry rather than assumed from another provider’s program.

What you’ll learn

Explain data preparation with Power Query in a practical work context.
Make informed choices about data models and DAX calculations.
Recognize common pitfalls in report design and visual storytelling.
Connect publishing access and data refresh to a practical action plan.

A CLEAR PATH FORWARD

Recommended learning plan

4-day learning plan

Learn through a practical data or AI use case, with focused discussions, practical exercises and work you can take away.

Learning route: 4 recommended days
Practical work: 4 guided activities
Finish with: A practical review

Take a look at each day. Open a section to see the topics and practical work.

Day 1Data preparation with Power Query

What we’ll cover

Data preparation with Power Query

Put it into practice

Work through a sample dataset or model, challenge its assumptions and explain what the results do and do not show.

You’ll take away
An analysis with assumptions and quality checks

Day 2Data models and DAX calculations

What we’ll cover

Data models
DAX calculations

Put it into practice

Work through a sample dataset or model, challenge its assumptions and explain what the results do and do not show.

You’ll take away
An analysis with assumptions and quality checks

Day 3Report design and visual storytelling

What we’ll cover

Report design
Visual storytelling

Put it into practice

Use a practical data or AI use case to work through the options, explain your reasoning and compare approaches with the group.

You’ll take away
A practical worksheet and next-step checklist

Day 4Publishing access and data refresh

What we’ll cover

Publishing access
Data refresh

Put it into practice

Work through a sample dataset or model, challenge its assumptions and explain what the results do and do not show.

You’ll take away
An analysis with assumptions and quality checks

Bring it all together

Present the result alongside your evaluation, limitations and next steps.

Prerequisites

Bring a laptop. Coding-focused courses use Python; business-focused courses work with examples and decision tools.

Who is this course for?

Professionals and teams evaluating this subject for their work.

The course outline covers data preparation with power query, data models and dax calculations, report design and visual storytelling, publishing access and data refresh. Discuss the depth and emphasis you need with a MindClick advisor.

Can I request this training from the UAE or Saudi Arabia?

Yes. MindClick accepts training inquiries from individuals and teams in the UAE and Saudi Arabia. Confirm online or in-person delivery, the venue if applicable, teaching language, and dates before booking. UAE uses UTC+4; Saudi Arabia uses UTC+3.

Does this listing include an official qualification or exam voucher?

This is a training or study-support listing, not an official qualification award. Certification names identify the subject of preparation, not a partner endorsement. Confirm current eligibility, authorized delivery arrangements where required, and exam-voucher inclusion separately.

What are the fees and duration?

Contact MindClick for a written proposal based on your learning needs and delivery format. Confirm the training fee, applicable taxes, duration, materials, exam fees if relevant, and any additional charges before enrolling.

How do I choose the right starting point?

Share your current role, experience, goals, and preferred learning format. Ask about prerequisites and the current curriculum before booking. Training does not guarantee an exam pass, certification, or employment.

Neural networks and deep learning

60 hoursAdvanced

$1,799 USDView course