Courses / Data and analytics tools
Power Query
Clean, reshape and combine data in the Power Query Editor, step by step.
Projects, case studies and mock exams
Turn two months of raw exports and a manager list into revenue per manager, with steps that rerun every month.
6 steps · 20 minProject · AdvancedTurn a printed report into dataRebuild a regional sales report made for printing into a clean table, then total it by region.
8 steps · 22 minProject · AdvancedService backlog by teamPrepare an open-service queue with clean team names and a priority-hours total for each team.
6 steps · 28 minProject · AdvancedInventory count auditBuild a reconciled count summary from a warehouse sheet that includes a duplicated scan and inconsistent location text.
6 steps · 28 minCase study · AdvancedSupplier exception exposureQuantify open supplier exceptions while keeping unknown amounts separate from zero exposure.
6 steps · 28 minCase study · AdvancedCapacity shortfallIdentify the team with the largest positive shortage of scheduled hours compared with available hours.
6 steps · 28 minProject · ExpertMonthly shipment refreshBuild a repeatable shipment report from two monthly files, keeping unresolved quantities out of usable-unit totals.
8 steps · 45 minMock exam · ExpertPower Query preparation AA timed, original Power Query preparation section with checked answers and explanations.
15 questions · 25 minMock exam · ExpertPower Query preparation BA timed, original Power Query preparation section with checked answers and explanations.
15 questions · 25 minBuild repeatable data preparation queries from supplied CSV and workbook files. Start with headers, types, filters, and text cleanup, then work through joins, grouped summaries, reshaping, errors, and reusable M functions in the Advanced Editor. Projects carry your query from one stage to the next, and hidden replacement files check that your transformations work when the data changes.
Practice sets revisit skills on fresh records. Interview questions test your reasoning, while two timed preparation sections cover Power Query topics relevant to PL-300. These sections focus on data preparation; they do not reproduce the full certification exam.
Beginner
The editor and its steps
Open files, inspect steps and keep a clean record population.
Cleaning data
Clean text, select records, sort and split columns.
Types and source conventions
Preserve identifiers and interpret regional numbers and dates.
Intermediate
Adding columns
Create calculations and labels, then recover block-style layouts.
Summarizing and reshaping
Choose output grain, aggregate records and pivot or unpivot fields.
Combining queries
Choose a join kind, preserve intended matches and align appended schemas.
Advanced
Reliable queries
Handle conversion errors, repair steps and retain reusable staging queries.
Report layouts and expressions
Fill, index and transpose layouts, then calculate with M expressions.
Operational reporting
Build service and inventory reports and return checked exposure and capacity findings.
Expert
M language
Edit complete M programs with functions, lists, records and table results.
Reusable refresh
Parameterize rules, handle errors, combine files and explain folding limits.
Interviews and timed preparation
Explain workplace choices and complete original Power Query preparation sections.