Data Analytics Using Excell and Power BI Training
Data Analytics Using Excell and Power BI Training helps Data Analysts and Reporting Officers build practical research, data analytics, and business intelligence capability through role-relevant activities, instructor-led 5 days delivery, and a clear certificate pathway.
Training provider: EduCore Global Skills
Category: Research, Data Analytics, and Business Intelligence
Duration: 5 Days
Delivery: Instructor-led classroom, Live online, In-house corporate training
Certificate: Certificate of Completion
Course fees: KES 80,000
Course Overview
Data Analytics Using Excell and Power BI Training professional training from EduCore Global Skills.
Participants work with Microsoft Power BI Desktop, Power Query, data modelling, DAX measures, visualization design, report publishing, and dashboard-sharing workflows used in real business intelligence environments.
The course is built for practical application: learners clean and transform data, build reusable models, create interactive reports, interpret trends, and present analytics outputs for operational, management, and executive audiences.
Learning Objectives
- Prepare, clean, and transform datasets using Power Query.
- Build Power BI data models with relationships, tables, and calculated fields.
- Create DAX measures for common business and performance indicators.
- Design interactive dashboards and reports for decision makers.
- Publish, share, and refresh Power BI reports through appropriate governance practices.
- Communicate insights clearly using charts, filters, drill-downs, and narrative reporting.
Learning Outcomes
- Create a complete Power BI report from raw data to published dashboard.
- Apply Power Query transformations to clean and combine messy business datasets.
- Use DAX to calculate KPIs, trends, variances, and summary measures.
- Select appropriate visuals for analytical questions and audience needs.
- Explain Power BI workspace, sharing, and refresh options for organizational use.
- Prepare a practical dashboard improvement plan for a workplace reporting process.
Who Should Attend
- Data analysts and reporting officers
- Monitoring and evaluation professionals
- Finance, operations, sales, and HR teams responsible for management reports
- Managers who need to interpret Power BI dashboards
- Excel users moving into business intelligence and dashboard automation
- Project and program teams that need evidence-based reporting
Prerequisites
Participants should be comfortable using spreadsheets and basic business data. Prior Power BI experience is helpful but not required.
Training Methodology
- Instructor-led demonstrations of Power BI workflows.
- Hands-on labs using sample business datasets.
- Dashboard design reviews and facilitator feedback.
- Scenario-based exercises for finance, operations, program, and management reporting.
- Group discussion on data governance, sharing, and reporting quality.
Course Modules
Excel-to-Power BI Analytics Workflow
- When to use Excel, Power Query, Power Pivot, and Power BI together
- Mapping spreadsheet reporting problems to a BI workflow
- Defining users, data sources, refresh needs, and dashboard objectives
- Strategic, operational, and regulatory implications for Data Analytics using Excel and Power BI
- Exercise: design an Excel-to-Power BI reporting workflow
Excel Data Preparation and Quality Controls
- Cleaning tables, headers, duplicates, blanks, dates, categories, and inconsistent entries
- Using structured tables, validation rules, named ranges, and audit checks
- Translate Preparing repeatable files for Power Query ingestion requirements into governance artefacts, decision records, and operating controls
- Module-specific analysis of strategic, operational, and regulatory implications for data analytics using excel and power bi within excel data preparation and quality controls
- Exercise: convert messy Excel files into analytics-ready tables
Power Query in Excel and Power BI
- Importing, appending, merging, grouping, pivoting, unpivoting, and parameterizing data
- Compare advanced Documenting applied steps and managing refresh errors approaches using evidence, benchmarks, and professional judgement
- Reusing query logic across Excel and Power BI
- Module-specific analysis of strategic, operational, and regulatory implications for data analytics using excel and power bi within power query in excel and power bi
- Exercise: build a refreshable Power Query transformation
Data Modeling with Power Pivot and Power BI
- Fact tables, dimensions, relationships, date tables, and model granularity
- Compare advanced Moving from flat spreadsheets to analytical models approaches using evidence, benchmarks, and professional judgement
- Translate Managing model usability, naming, and documentation requirements into governance artefacts, decision records, and operating controls
- Module-specific analysis of strategic, operational, and regulatory implications for data analytics using excel and power bi within data modeling with power pivot and power bi
- Exercise: create a model from Excel source tables
DAX Measures and Analytical Calculations
- Creating measures for totals, ratios, variances, growth, targets, and time intelligence
- Understanding filter context, row context, and common DAX mistakes
- Translate Validating measures against Excel checks requirements into governance artefacts, decision records, and operating controls
- Module-specific analysis of strategic, operational, and regulatory implications for data analytics using excel and power bi within dax measures and analytical calculations
- Exercise: build DAX measures for a management dashboard
Dashboard Design and Visual Reporting
- Choosing visuals for executive, operational, and analytical users
- Using slicers, drill-through, bookmarks, tooltips, and report navigation
- Translate Applying visual hierarchy and accessibility principles requirements into governance artefacts, decision records, and operating controls
- Module-specific analysis of strategic, operational, and regulatory implications for data analytics using excel and power bi within dashboard design and visual reporting
- Exercise: build a Power BI dashboard from Excel data
Publishing, Refresh, and Governance
- Publishing reports, configuring gateways, refresh schedules, workspaces, and access rights
- Managing source-file changes, data ownership, and version control
- Translate Creating maintenance routines and support documentation requirements into governance artefacts, decision records, and operating controls
- Module-specific analysis of strategic, operational, and regulatory implications for data analytics using excel and power bi within publishing, refresh, and governance
- Exercise: prepare a Power BI deployment checklist
Excel and Power BI Capstone Project
- Preparing data, building the model, writing measures, designing visuals, and presenting insights
- Compare advanced Documenting assumptions, refresh process, risks, and recommendations approaches using evidence, benchmarks, and professional judgement
- Translate Responding to stakeholder review questions requirements into governance artefacts, decision records, and operating controls
- Module-specific analysis of strategic, operational, and regulatory implications for data analytics using excel and power bi within excel and power bi capstone project
- Exercise: deliver an end-to-end Excel and Power BI dashboard
Training Focus
Data Analytics Using Excell and Power BI Training helps Data Analysts and Reporting Officers build practical research, data analytics, and business intelligence capability through role-relevant activities, instructor-led 5 days delivery, and a clear certificate pathway.
Related Course Discovery Links
Frequently Asked Questions
How is Data Analytics Using Excell and Power BI Training delivered?
Data Analytics Using Excell and Power BI Training is available through classroom training, live online training, and customized in-house corporate delivery where applicable.
What are the fees for Data Analytics Using Excell and Power BI Training?
The published course investment is KES 80,000. Location-specific prices may vary by delivery mode and schedule.
How long is Data Analytics with Power BI Training?
The standard course duration is 5 Days, with daily instructor-led sessions and practical dashboard-building exercises.
Do I receive a certificate after Power BI training?
Participants who complete the course receive a Certificate of Completion from EduCore Global Skills.
Is the Power BI course available virtually?
Yes. EduCore Global Skills offers the course as live online training, classroom training in selected cities, and private in-house delivery for corporate teams.
Is Power BI suitable for beginners?
Yes. The course starts with Power BI fundamentals and then moves into data preparation, modelling, DAX, and dashboard design through guided exercises.
What are the prerequisites for Power BI training?
Basic spreadsheet experience and familiarity with business data are recommended. Prior Power BI experience is not required.
Register for Data Analytics Using Excell and Power BI Training or contact EduCore Global Skills.