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Power Query, data modeling, DAX, visuals, dashboards and Power BI Service - from first import to a published report.
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Analytics with Power BI
Power BI Data Analytics Course
Use Power BI the way analysts do on the job: start with a business problem, finish with a recommendation.
- Hands-on, project-based
- Trainer feedback on every module
- Free counselling & demo on request
- Format
- Live, instructor-led
- Duration
- Shared at counselling
- Fees
- Shared on enquiry
- Level
- Intermediate
Power BI Data Analytics Course overview
This is a project course. You already know the Power BI features; here you use them on open-ended cases - declining margin, customer churn, delivery delays - where there is no tutorial to follow.
It complements the feature-focused Power BI course and the Excel-based Excel data analysis course, and prepares you for analyst-style interview tasks.
Who this course is for
- Learners who finished a Power BI course and want portfolio projects
- Analysts who need a repeatable analysis method
- Job seekers preparing case-study assignments
Prerequisites
- Power BI Desktop basics and a first model
Project workflow
- BriefUnderstand the ask
- PreparePower Query
- ModelStar schema
- AnalyseDAX + visuals
- PresentStory + recommendation
What you will learn
- Turn a vague brief into measurable questions
- Prepare and model data quickly
- Use DAX and visuals to test hypotheses
- Document assumptions and data issues
- Present a recommendation in plain language
Tools covered
- Power BI Desktop
- Power Query
- DAX
- Excel
- Power BI Service
Practical projects
Margin decline case. Locate the drivers of a profit drop.
Customer retention analysis. Segment customers by repeat behaviour.
Delivery performance review. Find where delays originate.
Detailed curriculum
The program is taught module by module. Each module ends with a hands-on exercise built on business-style data.
Module 1Analysis framing
- Briefs, hypotheses, metrics
Module 2Rapid data preparation and modeling
- Reusable query and model patterns
Module 3Exploratory analysis in Power BI
- Decomposition tree, key influencers, drill paths
Module 4Measure design for analysis
- Variance, share, cohort, rank measures
Module 5Storytelling
- Report narrative, executive summary page
Module 6Capstone
- Present a case to a mock stakeholder panel
Learning methodology
Every concept is taught on a working file. You see the business question first - for example, "which regions missed target last quarter?" - and then build the formula, query or measure that answers it.
Each module closes with an exercise you complete yourself, followed by trainer feedback. Mistakes are part of the process: we cover the errors people actually hit, such as text-formatted numbers, broken lookups and wrong relationship direction.
Training files and practice datasets are provided so you can repeat every exercise after class.
Training format, batches and certification
Format. Instructor-led, practical sessions. Online, classroom and hybrid options are confirmed when you speak to us.
Batches. Upcoming batch dates are shared during counselling so you get current information. Ask for weekday, weekend or fast-track availability.
Certification. You receive a CharterPeak course completion certificate on completing the program and its assessments. This is not a Microsoft certification. If you want to prepare for a Microsoft exam such as PL-300, tell us and we will map the syllabus to the official skills outline.
Your trainers
Trainer names, backgrounds and areas taught are listed on our trainers page. Ask for a short demo class or a call with the trainer before you enrol.
Sample case: why did margin fall?
Revenue is up 8% but margin has fallen two points. We build a variance decomposition into price, volume, mix and discount, find that a single promotion on low-margin bundles explains most of the gap, and write the recommendation in three sentences.
Career applications
- Data analyst and business analyst roles
- BI developer roles
- Interview case-study preparation
Continue your learning path
- Round out the toolkit with the Data Analytics course
- Strengthen models in data modeling
- See the data analyst career guide
Frequently asked questions
How is this different from the Power BI course?
The Power BI course teaches features. This course practises applying them to open-ended problems.
Is this a separate course from Data Analytics?
The Data Analytics course covers the full toolchain, Excel through BI. This one concentrates on Power BI case work.
Will the projects be portfolio-ready?
You leave with finished reports and a written summary you can adapt for your portfolio.
Is feedback individual?
Trainers review your project and give feedback; ask about batch size at counselling.
What is the duration of the Power BI Data Analytics Course?
Duration depends on the batch (weekday, weekend or fast-track). We confirm the schedule and total hours when you speak to us, so you get current information rather than a fixed number on a web page.
Who can join the Power BI Data Analytics Course?
Students, graduates, working professionals and career changers. The prerequisites are listed on this page; if you are unsure, book a free counselling call and we will point you to the right starting course.
Is the training practical?
Yes. Each module is taught on working files with exercises you complete yourself, followed by trainer feedback and project work.
Is the training online or in a classroom?
Delivery options depend on the batch. Ask about current online, offline and hybrid availability when you enquire.
Is certification provided?
You receive a CharterPeak completion certificate after finishing the program and its assessments. It is not a Microsoft certification and we do not promise exam results.
What fees and payment options apply?
Fees depend on the batch and format and are shared on enquiry. See our refund policy before you enrol.
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