Research, Data Analytics, and Business Intelligence Egypt

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

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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.


Local Application and Business Return

How participants can apply the training in local operating conditions, and the return their organisation can plan for.

How participants apply this

Participants in Egypt typically apply this course to clean spreadsheet exports from finance, sales, operations, or procurement systems and turn them into consistent reporting files. They use Excel to standardize data, resolve duplicates, and build pivot-based summaries before moving the data into Power BI for dashboards and recurring management reports. In day-to-day work, this helps them replace manual month-end reconciliations with refreshable reports that can be reviewed by supervisors and executives. The course is also useful for preparing KPI packs, tracking performance against targets, and explaining variances with clear visuals rather than static tables.

Expected ROI

Within 6–12 months, teams usually save time by reducing repetitive reporting work and shortening the cycle from raw data to decision-ready dashboards. They also tend to improve consistency because the same transformation steps and formulas are reused instead of rebuilt manually each month. For managers, the main value is faster visibility into performance, fewer reconciliation errors, and more defensible reporting in meetings. The strongest return is usually seen where staff currently spend significant time copying, cleaning, and reformatting Excel files before analysis.

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

Abuja

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

Addis Ababa

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

Zanzibar

Tanzania
USD 4,300
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
27th Jul-7th Aug 2026

Pretoria

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

Kampala

Uganda
USD 3,700
27th Jul-7th Aug 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.

Tools and platforms relevant to this field

Examples Egypt teams may encounter, and that may be featured in training where they support the confirmed course scope.

3

These are field-relevant examples, not a promise that every tool will be covered. Exact coverage depends on the confirmed course scope, participant needs, and delivery format.

  • Microsoft Excel Microsoft
    Used to clean, reconcile, summarize, and calculate metrics from operational extracts before building reports and dashboards.
  • Power BI Desktop Microsoft
    Used to model data, create interactive dashboards, and publish reusable reports for management and stakeholders.
  • Power Query Microsoft
    Used to import, transform, merge, and append data from spreadsheets and other sources with less manual rework.

Real Results from Real Professionals

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

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
Consultant Oxford University Press, KENYA
PRINCIPAL MONITORING AND EVALUATION OFFICER SPORTS, ARTS AND SOCIAL DEVELOPMENT FUND, Kenya
Designation Organisation, Ethiopia
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.

Yes. The course goes beyond basic spreadsheet use and focuses on cleaning data, building repeatable calculations, and turning Excel outputs into dashboard-ready datasets. That is especially useful for people who already work with reports but need stronger analysis and presentation skills.

No prior Power BI experience is usually required for an introductory or intermediate course of this kind. Learners typically start with data preparation in Excel and then move into Power BI Desktop, where they learn modeling, visuals, and measures.

Most delegates should be able to produce cleaned datasets, pivot summaries, KPI dashboards, and short insight reports. The practical goal is to make reporting faster, more consistent, and easier for managers to act on.

Yes. Finance, operations, sales reporting, and administration teams often handle recurring spreadsheets and monthly performance packs, so the skills transfer directly. The course is especially relevant where accurate variance analysis and repeated reporting are part of the job.

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