DATA SCIENCE HUB01 / REPORTING
Turn everyday data
into clear decisions.
Introduction video · Coming soon

ONLINE CAREER TRACK · IN ARABIC

Build a practical foundation in

Data Reporting
Essentials.

EXCEL + POWER BI

Learn to turn messy spreadsheets into accurate reports and interactive dashboards. Connect business understanding, statistics, Excel and Power BI in one focused learning path.

من بيانات متفرقة إلى تقارير واضحة تساعدك تاخد قرار

Review the track, add it to your cart and complete checkout on Data Science Hub.

5 coursesOne connected learning path
OnlineRecorded lessons & readings
Self-pacedLearn around your schedule
Foundations → IntermediateBuild up step by step
Excel + Power BIPractical reporting tools
Course certificatesCourse-level achievement

Reporting with a purpose

Your reporting journey
starts with the business.

Sales targets. Payroll. Customer-service queues. Inventory. The same question sits behind every report: what is happening, and what should we do next?

This track starts with business context and spreadsheet confidence. You’ll then develop the statistical judgement, Excel analysis and Power BI skills that make a report useful rather than simply attractive.

A foundation for people who prepare reports in operations, sales, finance, HR or administration—and beginners building their first practical data skill set.
See the skills you’ll build →

What you’ll learn

From a business question
to a report people can use.

Build the workflow, not just familiarity with a tool.

01

Frame the question

Translate a request into KPIs and reporting requirements.

02

Clean and validate

Check types, missing values, duplicates and inconsistent totals.

03

Analyse in Excel

Use formulas, lookups, PivotTables and a structured data model.

04

Interpret responsibly

Explain averages, variation, relationships and uncertainty.

05

Build in Power BI

Connect data, model relationships and create useful DAX measures.

06

Communicate a decision

Design a readable report and explain the action it supports.

Where this track fits

No SQL or Python is required to start. The learning focuses on business foundations, statistics, Excel and Power BI; the Excel analyst course also introduces macros/VBA. Broader data roles may require SQL, Python, domain experience or further BI depth.

Your learning path

Five courses.
A connected skill set.

Follow this suggested order, or review the course pages to choose a starting point that fits your experience.

01 · Business context02 · Spreadsheet foundations03 · Statistical thinking04 · Excel analysis05 · Power BI reporting
Enrol in the track →The bundle page confirms current inclusions, pricing and access terms.
01Understand the businessBusiness Foundations for Analysts

Connect the numbers to how a business works, what departments need and how decisions are made.

Subjects you’ll study

  • Business models, revenue and profit
  • Sales, marketing, finance, HR, operations and IT
  • KPIs, strategy and decision-making
  • Business processes and cross-functional workflows
  • Requirements gathering and stakeholder communication
PUT IT INTO PRACTICE

Turn a business problem into clear questions and useful reporting requirements.

Structured reading & practiceView course details →
02Build your spreadsheet foundationExcel Fundamentals

Get confident with workbook structure, formulas, data quality and the charts used in everyday reports.

Subjects you’ll study

  • Workbook navigation, tables and reliable data entry
  • Core formulas, cell references and logical functions
  • Lookup functions, including XLOOKUP and INDEX/MATCH
  • Data validation, conditional formatting and date functions
  • Charts, dynamic arrays and readable presentation
PUT IT INTO PRACTICE

Organise a dataset, calculate reliable results and present a clear spreadsheet report.

Video lessons & exercisesView course details →
03Interpret the numbersStatistics for Business Analysts

Understand what a result means, how data varies and how to communicate evidence responsibly.

Subjects you’ll study

  • Populations, samples and data types
  • Mean, median, spread, percentiles and IQR
  • Distributions, visualisation and outliers
  • Correlation, scatter plots and regression foundations
  • Significance, A/B testing and confidence intervals
PUT IT INTO PRACTICE

Explain trends and variation without treating every change as meaningful.

Lessons & business examplesView course details →
04Move from sheets to analysisExcel for Business Analyst

Build more repeatable analysis with PivotTables, Power Query, Power Pivot and interactive reporting.

Subjects you’ll study

  • PivotTables, slicers, timelines and calculated fields
  • Power Query cleaning and transformation
  • Power Pivot, relationships and data models
  • Dashboard design and data storytelling
  • Macros, what-if analysis, forecasting and the bridge to Power BI
PUT IT INTO PRACTICE

Create an interactive Excel report and reduce repeated manual preparation.

Video lessons, files & projectsView course details →
05Build and share your dashboardPower BI: Beginner to Intermediate

Bring data into Power BI, model it, create useful measures and design an interactive report.

Subjects you’ll study

  • Power BI Desktop, Service and the reporting workflow
  • Data connection, Power Query and data transformation
  • Relationships, star schemas and date tables
  • DAX measures, filter context and time intelligence
  • Visuals, drill-through, bookmarks, publishing and refresh
PUT IT INTO PRACTICE

Build a data model and an interactive Power BI report that answers business questions.

Video lessons, readings & labsView course details →

Apply what you learn

Practise reporting
that connects to real work.

These examples come from your included course curricula. Open the course to see the full project brief and materials.

Operations & service

Contact Centre Performance

Use the published Excel contact-centre dashboard exercise and Power BI customer-service tutorial to work with operational performance reporting.

KPIs · Trends · Dashboard designView the course →
Finance & management

Financial Performance Dashboard

Practise the CFO financial-performance dashboard in the Power BI curriculum. Focus on clear measures, financial comparisons and an executive summary.

Measures · Variance · Visual reportingView the course →
Commercial & people reporting

Sales, HR & Inventory Analysis

Explore the sales, HR and supply-chain assignments listed in the Excel and Power BI courses. Check each course page for the available files and project format.

Data cleaning · PivotTables · Power BIView the course →

For your own portfolio, explain the business question, validation checks and decisions supported. If you adapt an exercise to EGP, SAR or AED, document the currency and assumptions; don’t mix currencies in one total.

Show your progress

Build evidence
of what you can do.

The included course pages list certificates of completion. Pair your course progress with a clear, well-documented reporting portfolio.

Review course completion information →
Course completionReview the requirements on each included course page.
Practical workSave your reports, explain your measures and record your checks.
Clear scopeCompletion certificates are not a claim of external accreditation, a university degree or job placement.

Egypt · GCC · MENA

See where reporting
skills appear in real roles.

Published employer examples reviewed on . These are examples to research, not a live job feed or entry-level eligibility claims.

Egypt

Data Analyst

GS1 Egypt · Cairo · Hybrid

Reporting skills used

Excel-based validation, reporting accuracy, KPI definitions and BI dashboards.

What else the employer asks for

The published role also asks for strong SQL and 3+ years of experience.

Read the employer’s posting ↗

Saudi Arabia

Business Analyst

Almarai · Riyadh

Reporting skills used

Sales performance, market analysis and decision support using Excel and Power BI/DAX.

What else the employer asks for

The published role is for experienced professionals and also asks for Python, a degree and English communication.

Read the employer’s posting ↗

United Arab Emirates

Portfolio Financial Modeler Analyst

AMEA Power · Dubai

Reporting skills used

Excel-based performance analysis, financial reporting and data integrity.

What else the employer asks for

The published role also asks for specialist finance skills, expert Excel and more than 3 years of relevant experience.

Read the employer’s posting ↗
A realistic starting point

This track builds reporting foundations. The examples above also require experience, domain knowledge or skills beyond the track. Read the employer’s latest requirements, eligibility and vacancy status before applying. These sources do not provide a comparable entry-level salary range, so no salary or growth figure is inferred here.

Turn learning into a next step

A practical reporting roadmap.

01

Learn the business

Practise KPI definitions and ask what decision the report should support.

02

Build and validate

Work through the Excel and Power BI exercises. Reconcile totals and document your measures.

03

Present your work

Create a short portfolio case study and an English summary. Add Arabic explanations when relevant to the audience.

04

Research and fill gaps

Compare Egyptian and GCC role requirements. Add SQL, further BI or domain skills where the actual job description asks for them.

Make room for practice

A study rhythm
that fits your week.

Choose the time you can realistically protect. This example split gives you time to study, practise and review.

This is a personal planning aid, not an official course duration or predicted completion date.

Lessons & reading
2 hours
Hands-on practice
2.5 hours
Review & notes
0.5 hours

Before you enrol

Your questions,
answered clearly.

Who is Data Reporting Essentials for?

Beginners and people preparing reports in operations, administration, sales, finance or HR. Start with the foundations and build up to the intermediate Excel and Power BI material.

What software will I need?

You’ll need Microsoft Excel and a Windows PC for Power BI Desktop, or an appropriate virtual-machine setup. The Excel analyst course lists Excel 2016, 2019 or Microsoft 365. Check each course for its requirements; some Power BI sharing features may need a separate Microsoft licence.

Do I need SQL, Python or previous coding experience?

No SQL or Python is required to begin. You’ll study Excel formulas and Power BI measures; the Excel analyst course also introduces macros/VBA. SQL, Python and advanced AI are not the main focus of this track.

How long does the whole track take?

It depends on your experience and practice time. The bundle does not currently publish a reliable total duration, so we do not give a fixed completion promise. Some individual course pages list their own indicative duration.

Are all five courses videos?

The formats vary. Business Foundations includes structured lesson documents; other courses combine recordings, readings, exercises and projects. Review the individual course pages for current materials.

How do I enrol and pay?

Choose Enrol now to open the existing Data Reporting Essentials bundle page. Review its current details, add it to your cart and complete your purchase through the website’s normal checkout.

Will completing the track guarantee a role?

No. The track builds useful reporting skills, while hiring also depends on experience, portfolio quality, role requirements, market conditions and work eligibility. Use the regional examples as a guide to further preparation.

What are the access and refund terms?

Review the bundle and included course pages for current access details, and read our refund and cancellation policy before purchasing. You can also contact us with specific questions.

Your next report can be better

Start with the essentials.
Build with confidence.

Five connected courses in business, statistics, Excel and Power BI.

EGP 3,199Enrol now →Current price and checkout on the bundle page.