Preparing Your Data for Power BI
Build practical skills in preparing reliable analytical data with Power Query, profiling, transformation, combination, validation, refresh, and reusable data-quality practices through four structured lessons with demonstrations, hands-on activities, troubleshooting, validation checklists, and an applied improvement plan.
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-by SkillDynamo
- 0 Students
- Last updated
Course Description
This SkillDynamo course develops practical, role-relevant capability in preparing reliable analytical data with Power Query, profiling, transformation, combination, validation, refresh, and reusable data-quality practices. The learning path progresses from planning and essential concepts to implementation, validation, troubleshooting, and operational use.
Learners work through realistic scenarios, instructor-led demonstrations, applied exercises, and evidence-based reviews. Each topic is connected to workplace responsibilities, common risks, quality controls, and measurable outcomes.
The course helps professionals build dependable skills, explain their decisions, identify failure points, and create an actionable improvement plan that can be applied to future projects.
What You Will Learn
- Connect to files, folders, databases, web, and approved organizational sources
- Profile columns, types, distributions, errors, blanks, duplicates, and anomalies
- Define data grain, ownership, quality rules, and analytical requirements
- Change types, filter, replace, split, merge, pivot, unpivot, group, and reshape data
- Create conditional, custom, index, and calculated transformation columns
- Manage errors, locale, privacy, parameters, and documented applied steps
- Use merge, append, folder, referenced, staging, and reusable query patterns
- Create functions and parameters for repeated preparation tasks
SkillDynamo Training Approach
SkillDynamo delivers this course through demonstrations, hands-on exercises, scenario analysis, validation checklists, structured troubleshooting, solution reviews, and a final improvement plan. Learners repeatedly practice planning, implementation, evidence collection, testing, correction, and communication so the skills transfer confidently into real workplace situations.
Curriculum
- 1 Section
- 4 Lessons
- 16 Hours
- Course Curriculum4 Items
- 1.1Preparing Your Data for Power BI — Lesson 1: Data Source and Quality Assessment4 hours
- 1.2Preparing Your Data for Power BI — Lesson 2: Power Query Transformation4 hours
- 1.3Preparing Your Data for Power BI — Lesson 3: Combining and Reusing Data4 hours
- 1.4Preparing Your Data for Power BI — Lesson 4: Validation, Refresh, and Handover4 hours
SkillDynamo Expert Team
This course is delivered by the SkillDynamo Expert Team using instructor-led demonstrations, guided practice, hands-on exercises, scenario analysis, structured troubleshooting, validation checklists, and workplace-focused improvement planning.
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