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Zarghoon Education Foundation

Data Analytics & Power BI

Clean, analyse and present business data in Excel, SQL and Power BI dashboards that managers can act on.

40% theory · 60% practical

  • For: Graduates in business, commerce, engineering or IT; MIS, admin and finance staff who work with spreadsheets
  • You'll produce: Sales performance dashboard
  • Duration3 months
  • Modules8 modules
  • Learning modeOnline · Hybrid · Self-paced online
  • EligibilityIntermediate (FA/FSc/ICS/I.Com) or equivalent
  • AssessmentDashboard capstone + practical tasks
  • Next batchDates coming soon
Students at computers in a computer lab with an instructor
Show training fee
  • Online (live classes)PKR 35,000or 2 × PKR 17,500
  • HybridPKR 40,000or 2 × PKR 20,000
  • Online, self-pacedPKR 17,500one-time
You choose one mode when you enrol.

About This Training

ZEF's Data Analytics & Power BI training is a practical programme of 3 months covering Excel, SQL, Power Query and Power BI. You learn to turn messy data into clear dashboards and insights, and finish with a portfolio of real analysis projects.

Benchmarked against the Microsoft PL-300 (Power BI Data Analyst) skill areas: prepare, model, visualise and analyse, deploy and maintain; and the Google Data Analytics certificate.

Training Outline

  • 8 modules
  • 8 hands-on tasks
  1. 1Excel for Analysis4 topics

    Topics

    • Tables, sorting, filtering and conditional formatting
    • Lookup functions: XLOOKUP, INDEX/MATCH
    • Pivot tables and pivot charts
    • Basic statistics: averages, spread, growth

    You Will Be Able To

    • Turn a raw sales sheet into a clear summary with pivots
    • Use lookups to combine data from several sheets

    Hands-on

    • Analyse a 10,000-row sales file and present five findings
  2. 2Data Cleaning4 topics

    Topics

    • Common data problems: blanks, duplicates, wrong types
    • Text and date functions
    • Validation and consistent categories
    • Documenting cleaning steps

    You Will Be Able To

    • Clean a messy dataset so it is ready for analysis
    • Keep a record of every change made

    Hands-on

    • Clean a real customer list and write a data-quality report
  3. 3SQL for Analysts4 topics

    Topics

    • Relational databases and tables
    • SELECT, WHERE, ORDER BY, GROUP BY
    • JOINs across tables
    • Aggregations and subqueries

    You Will Be Able To

    • Query a database to answer business questions
    • Join several tables correctly

    Hands-on

    • Answer 15 business questions from a retail database with SQL
  4. 4Power Query: Prepare the Data4 topics

    Topics

    • Connecting to Excel, CSV, folders and databases
    • Shaping data: split, merge, unpivot
    • Combining queries: append and merge
    • Refreshable, repeatable transformations

    You Will Be Able To

    • Build a refreshable data preparation flow in Power Query
    • Profile data quality before modelling

    Hands-on

    • Combine 12 monthly files into one clean, refreshable table
  5. 5Data Modelling4 topics

    Topics

    • Fact and dimension tables (star schema)
    • Relationships, cardinality and filter direction
    • Date tables
    • Model performance basics

    You Will Be Able To

    • Design a star-schema model that answers questions correctly
    • Create and mark a proper date table

    Hands-on

    • Build a sales data model with products, customers, stores and dates
  6. 6DAX Calculations4 topics

    Topics

    • Measures vs calculated columns
    • CALCULATE and filter context
    • Time intelligence: YTD, previous period, growth
    • KPIs and targets

    You Will Be Able To

    • Write DAX measures for core business KPIs
    • Compare periods with time intelligence

    Hands-on

    • Create a KPI measure set: revenue, margin, growth and target achievement
  7. 7Dashboards and Visual Design4 topics

    Topics

    • Choosing the right chart
    • Layout, colour and accessibility
    • Interactivity: slicers, drill-through, bookmarks
    • Designing for mobile viewers

    You Will Be Able To

    • Build a clear, interactive dashboard for managers
    • Apply visual design rules so insights stand out

    Hands-on

    • Design a one-page sales performance dashboard with drill-through
  8. 8Sharing, Security and Storytelling4 topics

    Topics

    • Publishing to the Power BI service
    • Workspaces, apps and scheduled refresh
    • Row-level security
    • Presenting insights as a story

    You Will Be Able To

    • Publish and share a report securely
    • Present data findings to non-technical managers

    Hands-on

    • Capstone: deliver and present a KPI dashboard with recommendations

Who It's for and Eligibility

Who It's For

  • Graduates in business, commerce, engineering or IT
  • MIS, admin and finance staff who work with spreadsheets
  • Professionals moving into analytics roles
  • Freelancers offering reporting and dashboard services

Eligibility

  • Intermediate (FA/FSc/ICS/I.Com) or equivalent
  • Comfortable with basic Excel
  • A laptop that can run Power BI Desktop (Windows)

Your Path Through This Training

  1. LearnExcel, SQL, data modelling and DAX fundamentals
  2. PracticeCleaning and analysing real-style business datasets
  3. ProveA dashboard capstone presented and assessed
  4. PreparePortfolio on GitHub or a public profile, CV and interviews
  5. ProgressData analyst, MIS and BI roles, or remote analytics work

What You'll Produce

Project 1

Sales Performance Dashboard

An interactive Power BI dashboard built from a real-style sales dataset.

Project 2

SQL Analysis Report

Queries that answer business questions from a relational database.

Project 3

Capstone: KPI Story for Management

A cleaned dataset, a dashboard and a short presentation of findings.

Tools and Equipment You'll Use

  • Microsoft Excel
  • Power Query
  • Power BI Desktop
  • DAX
  • SQL (MySQL or SQL Server)
  • Google Sheets

How You're Assessed

You complete weekly analysis tasks and a capstone dashboard built from a raw dataset. Assessors check data cleaning, the accuracy of your measures, dashboard design and how clearly you explain the findings. Your result is Competent or Not yet competent, with a chance to resubmit.

  1. Assessment 1After modules 1–3
  2. Assessment 2After modules 4–6
  3. Final assessmentAfter all 8 modules, for your certificate
Certificate of competenceData Analytics & Power BIQR code, verifiable on the ZEF website

Career Pathway

Roles in Pakistan

  • Data Analyst
  • MIS Analyst
  • BI Assistant
  • Business Analyst Trainee

International

  • GCC corporate sector
  • UK/EU analytics
  • Remote analytics

Subject to employer, licensing, visa and qualification-recognition requirements.

Opportunities in Pakistan and Abroad

  • 727,381Pakistanis registered for jobs abroad in 2024Source: BE&OE
  • $38.3 billionsent home by overseas Pakistanis in 2024-25Source: State Bank of Pakistan
  • $1.76 billionearned by Pakistani freelancers in 2025-26Source: State Bank of Pakistan

Where the Jobs Are

Live listings for “data analyst”. Opens the job site.
CountryDemandFind jobs
PakistanSee live listingsRozee.pk LinkedIn Indeed
Saudi Arabia452,562Pakistani workers who went there in 2024Bayt LinkedIn Indeed
Oman81,587Pakistani workers who went there in 2024Bayt LinkedIn Indeed
United Arab Emirates64,130Pakistani workers who went there in 2024Bayt LinkedIn Indeed
Qatar40,818Pakistani workers who went there in 2024Bayt LinkedIn Indeed
Bahrain25,198Pakistani workers who went there in 2024Bayt LinkedIn Indeed
Worldwide (freelance and remote)See live listingsUpwork Fiverr LinkedIn (remote)

Overseas figures: all occupations, 2024, Bureau of Emigration & Overseas Employment (BE&OE). They show where Pakistani workers find jobs abroad, not vacancies for this training.

What People in This Field Earn

  • Freelance, international clientsRs 2,780–20,850($10–75)per hour on Upwork: about $10–25 for beginners and $25–75 at intermediate levelSource: Upwork, hourly rates by skill and experience (2026)

Rupee amounts converted at Rs 278 per US dollar (open-market rate, end of September 2026).

What the Same Job Pays Abroad

Official pay figures for data analyst roles in four countries that recruit skilled workers.

Country and jobPay (local)≈ US$ a year≈ Rs a month
USAData scientistsUS$120,230 a year (median)US Bureau of Labor Statistics, May 2025 ≈ US$ a year: $120k≈ Rs a month: Rs 2,785,000
CanadaData analyst, informatics and systemsC$40.87 an hour (median)Job Bank, Government of Canada, 2023-2024 ≈ US$ a year: $60k≈ Rs a month: Rs 1,382,000
United KingdomData analyst-statistician£28,000–£65,000 a yearUK National Careers Service, 2026 ≈ US$ a year: $37k–86k≈ Rs a month: Rs 861,000–1,999,000

Employee pay before tax: medians, or starter-to-experienced ranges (UK). Hourly and weekly medians are shown for a full-time year (2,080 hours or 52 weeks). Converted at European Central Bank reference rates (6 Oct 2026) and Rs 278 per US dollar. Living costs abroad are much higher than in Pakistan. Working abroad is subject to employer, licensing, visa and qualification-recognition requirements.

Jobs in Each Country

Data analyst: how many people do this job, openings, the outlook and the usual way in, from official labour statistics.

Counts are for the whole occupation in that country, not vacancies for ZEF students. Average pay is the official median (or the middle of the UK range) shown above, per month before tax.

Employers in This Field

Examples of organisations in Pakistan and abroad that employ people in this role. This is not a list of current vacancies: check each company’s careers page.

Company websites, checked October 2026.

These are published national figures and market benchmarks to help you plan, not a promise of a job or income. What you earn depends on your skills, experience, employer and city. Subject to employer, licensing, visa and qualification-recognition requirements.

Questions

Do I need to be good at maths for data analytics?

You need comfort with basic arithmetic, percentages and averages. The training teaches the rest step by step. Most of the work is logical thinking and careful data cleaning, not advanced mathematics.

Will I learn SQL as well as Power BI?

Yes. You learn SQL to pull and combine data, Power Query to clean it, and Power BI with DAX to model and present it. Employers usually expect all three together for analyst roles.

Can I do this training while working?

Yes. The training is available online and in hybrid batches, so you can study around a job. Expect to spend several hours a week on practice outside live classes to build a strong portfolio.

Register Your Interest

Leave your details and a counsellor will call or WhatsApp you to answer questions, confirm fees and batch dates, and check this training fits your goals.

No account needed. A counsellor replies within 24 working hours.

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