Research, Data Analytics, and Business Intelligence Ethiopia

Data Analytics using Excel and Power BI Training Course

Organizations are flooded with spreadsheet extracts, manual reconciliations, and dashboard requests, yet many teams still struggle to turn raw files into decisions they can defend. Data analytics using Excel and Power BI is the practical discipline of preparing data, modeling it, and presenting it through reusable reports and dashboards. It enables professionals to clean inconsistent datasets, calculate reliable metrics, and communicate trends with evidence.

This course bridges that gap with hands-on work in Microsoft Excel, Power Query, Power BI Desktop, and DAX, while reflecting the growing pressure to automate routine reporting and reduce manual errors in data workflows. It is designed for analysts, finance officers, reporting specialists, operations supervisors, and business managers who need accurate dashboards, monthly performance packs, and decision-ready insights. You will work toward outputs such as cleaned datasets, pivot-based summaries, KPI dashboards, and an insight report that supports leadership action.

Duration
5 Days
Duration
Certificate
Certificate
Included
Delivery
Instructor-Led
Delivery
Level
Foundation To Intermediate
Level
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Training Options

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Live Online Training

Join from anywhere with interactive virtual sessions

Starts
Ends
Mon - Fri (10 Days)
USD 1,700
Starts
Ends
Mon - Fri (10 Days)
USD 1,700
Starts
Ends
Weekend (8 Wks)
USD 1,700
Starts
Ends
Mon - Fri (10 Days)
USD 1,700
Starts
Ends
Weekend (8 Wks)
USD 1,700
Starts
Ends
Mon - Fri (10 Days)
USD 1,700
Starts
Ends
Mon - Fri (10 Days)
USD 1,700

Classroom Training

In-person sessions at premier locations

Nairobi Kenya
Mon - Fri
5 Days
USD 1,800
Kigali Rwanda
Mon - Fri
5 Days
USD 2,100
Dubai United Arab Emirates (UAE)
Mon - Fri
5 Days
USD 4,600
Zanzibar Tanzania
Mon - Fri
5 Days
USD 2,900
Customized Content
Team Training
Flexible Dates

In-person training at our premier venues — pick a city and date that works for you.

Location Duration Fee Language
Nairobi, Kenya Mon - Fri (5 Days) USD 1,800 English See dates & reserve →
Kigali, Rwanda Mon - Fri (5 Days) USD 2,100 English See dates & reserve →
Dubai, United Arab Emirates (UAE) Mon - Fri (5 Days) USD 4,600 English See dates & reserve →
Zanzibar, Tanzania Mon - Fri (5 Days) USD 2,900 English See dates & reserve →
Addis Ababa, Ethiopia Mon - Fri (5 Days) USD 2,400 English See dates & reserve →
Abuja, Nigeria Mon - Fri (5 Days) USD 3,100 English See dates & reserve →
Mombasa, Kenya Mon - Fri (5 Days) USD 1,900 English See dates & reserve →
Cape Town, South Africa Mon - Fri (5 Days) USD 4,200 English See dates & reserve →
Johannesburg, South Africa Mon - Fri (5 Days) USD 3,800 English See dates & reserve →
Kampala, Uganda Mon - Fri (5 Days) USD 2,100 English See dates & reserve →
Pretoria, South Africa Mon - Fri (5 Days) USD 3,600 English See dates & reserve →
Lagos, Nigeria Mon - Fri (5 Days) USD 2,500 English See dates & reserve →
Arusha, Tanzania Mon - Fri (5 Days) USD 2,000 English See dates & reserve →
Dar es Salaam, Tanzania Mon - Fri (5 Days) USD 2,094 English See dates & reserve →
Naivasha, Kenya Mon - Fri (5 Days) USD 1,900 English See dates & reserve →
Kisumu, Kenya Mon - Fri (5 Days) USD 3,300 English See dates & reserve →
Accra, Ghana Mon - Fri (5 Days) USD 3,800 English See dates & reserve →
Nakuru, Kenya Mon - Fri (5 Days) USD 3,200 English See dates & reserve →

Live, instructor-led sessions you can join from anywhere — pick the next start date below.

Code Start Date End Date Duration Fee
EBI-01 Mon - Fri (10 Days) USD 1,700 Reserve my seat → Reserve team seats →
EBI-01 Mon - Fri (10 Days) USD 1,700 Reserve my seat → Reserve team seats →
EBI-01 Weekend (8 Weeks) USD 1,700 Reserve my seat → Reserve team seats →
EBI-01 Mon - Fri (10 Days) USD 1,700 Reserve my seat → Reserve team seats →
EBI-01 Weekend (8 Weeks) USD 1,700 Reserve my seat → Reserve team seats →
EBI-01 Mon - Fri (10 Days) USD 1,700 Reserve my seat → Reserve team seats →
EBI-01 Mon - Fri (10 Days) USD 1,700 Reserve my seat → Reserve team seats →

Our instructor comes to your office — same curriculum and accredited certificate, with case studies built around the work your team actually does.

Team Training

Train your entire team together in a familiar environment for better collaboration

Fully Customized

Content tailored to your industry, tools, and specific business challenges

Cost Effective

Save on travel & accommodation costs when training multiple employees

Flexible Scheduling

Choose dates that work best for your team's availability and projects

How It Works
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About the Course

In data analytics using Excel and Power BI, organizations want results they can prove, not just charts that look polished. That means you must show data cleansing discipline, data modeling accuracy, DAX measure design, dashboard readability, and report consistency using tools such as Power Query, Power Pivot, and Power BI Service. This course focuses on the practical capability to build trustworthy reporting from messy source files and to explain what the numbers mean in operational terms.

The course turns scattered spreadsheet habits into a structured analytics workflow. You will practice data profiling in Excel, transformation in Power Query, relationship building in Power BI data models, and measure creation with DAX, while also being introduced to dashboard publishing in Power BI Service and row-level security at an overview level. What you will learn: you will clean and shape data, build calculated measures, design interactive dashboards, and prepare reporting packs that support performance review. You will practice the core workbook-to-dashboard workflow hands-on, while advanced governance and sharing topics are covered at a practical orientation level. This is a course for professionals who need reliable analysis under time pressure, limited data quality, and recurring reporting demands.

Many teams face constraints such as inconsistent source files, competing deadlines, and limited analyst capacity. This course is built for that reality, so you can create repeatable reporting routines with Excel and Power BI without needing a long implementation cycle or a specialized data engineering team.


Target Audience

This course is designed for professionals who need to turn spreadsheets and source files into trustworthy analytics outputs using Excel and Power BI.

  • Data Analysts who clean datasets and build Power BI dashboards
  • Management Reporting Officers who prepare monthly KPI packs
  • Finance Analysts who reconcile figures and automate variance reports
  • Operations Analysts who track performance trends and bottlenecks
  • Business Intelligence Analysts who model data and publish reports
  • Reporting Specialists who standardize Excel-based management information
  • Performance Monitoring Officers who maintain scorecards and trend views
  • Sales Analysts who build pipeline and revenue dashboards
  • HR Analysts who analyze headcount, turnover, and workforce metrics
  • Process Improvement Coordinators who use data to support operational reviews

Course Objectives

This course equips you to plan, execute, and measure data analytics using Excel and Power BI initiatives that improve reporting accuracy, data visibility, and decision support.

  • Assess source data quality using Excel profiling, filters, and data validation checks.
  • Apply Power Query transformation steps to clean, merge, and reshape business datasets.
  • Build PivotTables and PivotCharts that summarize performance by period, team, or category.
  • Create Power BI data models with relationships, measures, and basic star schema structure.
  • Evaluate dashboard outputs against KPI definitions, slicers, and report logic in Power BI Desktop.
  • Navigate data refresh, sharing, and workspace basics in Power BI Service.
  • Implement DAX measures and time intelligence calculations for recurring performance reporting.
  • Synthesize analysis into an insight pack with visuals, commentary, and action points.

Requirements & Prerequisites

Participants should have basic computer literacy, comfort with spreadsheets, and a working knowledge of business data such as sales, finance, operations, or HR reports. No programming background is required, and prior experience with Power BI Desktop is helpful but not mandatory. A laptop with Microsoft Excel and Power BI Desktop installed is required for the hands-on exercises.


Professional and Organizational Impact

When you lead data analytics using Excel and Power BI with credible data and practical strategies, you become a trusted driver of reporting accuracy and decision confidence.

  • Build stronger Excel and Power BI reporting discipline.
  • Gain confidence in DAX measures and KPI logic.
  • Strengthen your ability to clean messy operational datasets.
  • Enhance dashboard design for decision-makers and reviewers.
  • Develop reliable variance analysis and trend interpretation skills.
  • Position yourself as a practical reporting specialist.
  • Expand your value across finance, operations, and BI teams.

Organizations that embed data analytics using Excel and Power BI into reporting routines reduce costs, mitigate risks, and build lasting competitive advantage.

  • Reduce manual spreadsheet errors in recurring reports.
  • Improve monthly reporting turnaround times across teams.
  • Strengthen visibility into sales, finance, and operations KPIs.
  • Lower reconciliation effort through reusable Power Query steps.
  • Increase leadership confidence in dashboard-based decisions.
  • Support faster issue detection with consistent visual reporting.
  • Improve data governance through standardized measures and definitions.

Training Methodology

This is a practical, outcome-driven course designed to turn data analytics using Excel and Power BI aspiration into measurable action and credible reporting.

Methodology includes:

  • Hands-on calculation of KPI variance using Excel formulas, PivotTables, and sample datasets.
  • Scenario simulation on a month-end reporting delay with conflicting source files and update deadlines.
  • Diagnostic review using a Power Query checklist and Power BI model quality checks.
  • Stakeholder mapping for finance, operations, and leadership reporting chains in Power BI Service.
  • Case study analysis from retail, banking, manufacturing, and public sector reporting environments.
  • Workshop to build a dashboard and insight brief under time and data constraints.
  • Reflection exercise comparing current spreadsheet practice with Power BI refresh and measure benchmarks.

Upcoming Sessions

Next available dates worldwide

Virtual

(Zoom) Training
USD 1,700
22nd Jun-3rd Jul 2026

Nairobi

Kenya
USD 2,900
6th Jul-17th Jul 2026

Kigali

Rwanda
USD 3,800
29th Jun-10th Jul 2026

Dubai

United Arab Emirates (UAE)
USD 7,800
22nd Jun-3rd Jul 2026

Zanzibar

Tanzania
USD 4,300
15th Jun-26th Jun 2026

Abuja

Nigeria
USD 3,100
6th Jul-10th Jul 2026

Addis Ababa

Ethiopia
USD 2,500
27th Jul-7th Aug 2026

Mombasa

Kenya
USD 3,200
22nd Jun-3rd Jul 2026

Cape Town

South Africa
USD 7,500
22nd Jun-3rd Jul 2026

Johannesburg

South Africa
USD 6,000
15th Jun-26th Jun 2026

Kampala

Uganda
USD 3,700
15th Jun-26th Jun 2026

Pretoria

South Africa
USD 5,900
29th Jun-10th Jul 2026

Lagos

Nigeria
USD 2,500
27th Jul-31st Jul 2026

Certification

Recognized credentials that advance your career

Participants who complete the Data Analytics using Excel and Power BI Training Program earn a Trainingcred Certificate of Achievement, demonstrating professional competence and alignment with global standards in learning and development.

NITA Accredited

Accredited by the National Industrial Training Authority, ensuring programs meet nationally recognized standards of quality and relevance.

CPD Certified

Recognized by the CPD Certification Service, ensuring every program meets internationally benchmarked standards of professional excellence.

Why this course earns its place on your CV

Accredited training, practitioner trainers, and peers on the same career track — the three things real expertise is built on.

Skills Relevance

  • Master industry-demanded tools: Excel and Power BI in a single course.
  • Transform data into actionable insights, boosting your marketability.
  • Learn cutting-edge data visualization techniques to lead decisions.

Career Advancement

  • Empower your resume with dual expertise in Excel and Power BI.
  • Position yourself for roles in data analytics, increasing earning potential.
  • Gain practical skills that are immediately applicable in any data-driven role.

Expert Delivery

  • Learn from certified instructors with real-world data analytics experience.
  • Interactive sessions with personalized feedback to maximize learning efficiency.
  • Access to a wealth of resources and continuous learning support post-course.

Industry Tools and Platforms Featured in this Training

The platforms and vendors Ethiopia teams are running today — taught against real configurations, not generic vendor demos.

3
  • Microsoft Excel Microsoft
    Used for cleaning extracts, reconciliation, pivot summaries, KPI calculations, and ad hoc analysis before publishing reporting outputs.
  • Microsoft Power BI Desktop Microsoft
    Used for building reusable data models, interactive dashboards, and refreshable management reports from multiple source files.
  • Power Query Microsoft
    Used for importing, transforming, appending, and standardizing messy spreadsheets before analysis.

Real Results from Real Professionals

Thousands of professionals have transformed their careers through our training programs. Now, it's your turn.

ET Built for Ethiopia

How this course applies where you work

Local laws, real case studies, and data-points that make the curriculum land — not generic global theory.

Business Results You Can Expect

How participants put this to work the week after training — and the measurable return their organisation can plan for.

How participants apply this

Participants typically use Excel to clean monthly extracts from finance, operations, sales, or project teams, then use Power Query to standardize column names, data types, and missing values. They build pivot tables and formulas for reconciliations, variance analysis, and trend summaries that can be checked before reporting. In Power BI, they turn those curated datasets into dashboards for management packs, operational tracking, and KPI reviews. The result is a more repeatable reporting workflow with fewer manual edits and faster turnaround on routine requests.

Expected ROI

Within 6–12 months, teams usually see less time spent on manual consolidation and fewer errors caused by copy-paste reporting. Managers gain faster access to refreshed dashboards and more consistent KPIs, which improves the quality and speed of decisions. Finance and operations staff can reuse templates and data models instead of rebuilding reports each month, reducing repetitive effort. The main business value is not a single dramatic cost saving, but steadier reporting, better visibility, and more defensible decisions.

Frequently Asked Questions

Got questions? We've gathered the answers to common queries to help you feel confident and informed.

Who else has attended this training course?

Join global leaders and experts from top-tier organizations who have already benefited from this training. Here are just a few of our past participants:

Designation Organization
PRINCIPAL MONITORING AND EVALUATION OFFICER SPORTS, ARTS AND SOCIAL DEVELOPMENT FUND, Kenya
Designation Organisation, Ethiopia
Management Accountant Air Niugini Limited, Papua New Guinea
Assistant Director Risk and Bank Examination Kenya Deposit Insurance Corporation, Kenya
Field Security Associate UNDSS, Sudan
Data Analyst Lucara Botswana, BOTSWANA

Your seat is waiting.

Join these industry leaders and take the next step in your career.

No. The course is suitable for learners who already use Excel and want to move into structured reporting and dashboards. Prior exposure to formulas and pivot tables helps, but the main Power BI concepts can be learned from the ground up.

Yes. The practical focus is on cleaning source files, building repeatable calculations, and presenting results in dashboard form. Those are the same tasks used in monthly performance packs, operational reviews, and leadership reporting.

Excel is still useful for quick analysis, reconciliation, and lightweight modeling. Power BI is better for reusable dashboards, refreshable reports, and sharing insights across a team, so the two tools complement each other.

Yes. The same workflow applies across functions: prepare the data, calculate the key metrics, and present the results in a clear report. The exact KPIs change by department, but the analysis process stays similar.

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