Data Analytics Using Excell and Power BI Training

Which institution offers data analytics training in Nairobi?

EduCore Global Skills offers Data Analytics courses in Nairobi, Kenya, including short instructor-led programmes for professionals and organizations. Relevant courses in this category link to dates, fees, modules, and registration details.

Where can I take 5-day training Research, Data Analytics, and Business Intelligence training in Nairobi, Kenya?

EduCore Global Skills offers Data Analytics Using Excell and Power BI Training for Data Analysts and related professionals. The course page shows current 5 Days, available locations such as Nairobi, Kenya; Accra, Ghana; Kisumu, Kenya; Mombasa, Kenya, fees where published, upcoming dates, and registration details.

Where can I take Data Analytics Using Excell and Power BI Training training?

EduCore Global Skills offers Data Analytics Using Excell and Power BI Training training in Nairobi, Kenya; Accra, Ghana; Kisumu, Kenya; Mombasa, Kenya, with virtual live online, physical classroom, and customized in-house corporate delivery where available.

How long is Data Analytics Using Excell and Power BI Training?

Data Analytics Using Excell and Power BI Training is listed as 5 Days. The course page shows the current duration, available dates, delivery format, and registration options.

Who is Data Analytics Using Excell and Power BI Training for?

Data Analytics Using Excell and Power BI Training is designed for Data Analysts, Reporting Officers, M&E Officers, Finance Analysts, Operations Managers, Professionals and organizations that need practical capability in Research, Data Analytics, and Business Intelligence.

Module 1: 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

Module 2: 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

Module 3: 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

Module 4: 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

Module 5: 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

Module 6: 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

Module 7: 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

Module 8: 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

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.

What are the fees for Data Analytics Using Excell and Power BI Training?

The published course investment is KES 80,000. Location-specific prices are shown where configured.

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.