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Data Analysis and Reporting Techniques

Intensive 5-day course · English, Arabic & European languages

Commercial analysts, reporting specialists and department managers build structured quantitative skills across this five-day practical course. Delegates clean and prepare messy datasets, apply descriptive and inferential statistical methods in Excel, build interactive dashboards in Power BI and Tableau, and write automated narrative reports that support executive decision-making.

Classroom

Public courses in our cities

  • 19–23 Oct 2026Riyadh£4,200 + VAT
  • 2–6 Nov 2026Doha£4,200 + VAT
  • 16–20 Nov 2026London£3,360 + VAT
  • 7–11 Dec 2026Istanbul£2,280 + VAT
  • 21–25 Dec 2026Abu Dhabi£4,200 + VAT
  • 11–15 Jan 2027London£3,360 + VAT
Show 23 more dates
  • 25–29 Jan 2027Manama£3,080 + VAT
  • 8–12 Feb 2027Munich£3,400 + VAT
  • 22–26 Feb 2027Amman£3,400 + VAT
  • 1–5 Mar 2027Amsterdam£3,400 + VAT
  • 15–19 Mar 2027Madrid£3,400 + VAT
  • 5–9 Apr 2027Berlin£3,400 + VAT
  • 19–23 Apr 2027London£3,360 + VAT
  • 3–7 May 2027Istanbul£2,280 + VAT
  • 17–21 May 2027Milan£3,400 + VAT
  • 14–18 Jun 2027London£3,360 + VAT
  • 28 Jun – 2 Jul 2027Malaga£3,080 + VAT
  • 12–16 Jul 2027Munich£3,400 + VAT
  • 26–30 Jul 2027Sarajevo£3,400 + VAT
  • 2–6 Aug 2027Amsterdam£3,400 + VAT
  • 16–20 Aug 2027Dubai£4,200 + VAT
  • 6–10 Sep 2027Riyadh£4,200 + VAT
  • 20–24 Sep 2027London£3,360 + VAT
  • 4–8 Oct 2027Istanbul£2,280 + VAT
  • 18–22 Oct 2027Doha£4,200 + VAT
  • 8–12 Nov 2027London£3,360 + VAT
  • 22–26 Nov 2027Geneva£4,200 + VAT
  • 13–17 Dec 2027Munich£3,400 + VAT
  • 27–31 Dec 2027Abu Dhabi£4,200 + VAT

Group discount: 2 delegates 20% · 3 delegates 35% · 5 or more delegates 50%

Can't make these dates? We can run this course for your team on dates that suit you. Ask for custom dates · In-house options

Online (live)

With a trainer, on dates to suit your team

This course can be taught live online by a trainer, in English, Arabic or any European language, for one person or a whole team.

£1,850 + VAT

Group discount: 2 delegates 20% · 3 delegates 35% · 5 or more delegates 50%

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Data Analysis and Reporting Techniques

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Course overview

Operational teams collect large volumes of raw transactional data, yet decision-makers frequently struggle to extract actionable meaning from unstructured spreadsheets. Accurate interpretation requires structured cleaning, sound statistical foundations and disciplined visual presentation. The course equips analytical staff with repeatable methods to transform complex data tables into clear executive intelligence.

The programme progresses from foundational data preparation through to advanced presentation techniques. Delegates inspect spreadsheet formulas and statistical measures such as mean, median and variance in Excel. They explore exploratory data workflows, test relationships between variables, and assemble visual dashboards across modern business intelligence platforms including Power BI and Tableau.

Delegates practise analytical storytelling, write automated reporting macros, and run scenario models. In final syndicate sessions, delegates present commercial findings directly to simulated stakeholder panels.

Course objectives

By the end of the course, delegates will be able to:

  1. Apply foundational and advanced data analysis methods to business datasets
  2. Utilise analytical tools including Excel, Power BI and Tableau for computation and dashboard design
  3. Clean, normalise and prepare raw data tables for structured exploration
  4. Construct clear, visual reports that communicate trends and anomalies
  5. Support executive decision-making using evidence-based analytical findings

Who should attend

This course suits:

  • Business analysts and commercial performance teams
  • Data analysts and operational reporting specialists
  • Department managers and corporate decision-makers relying on business data
  • Business intelligence and management information specialists
  • Professionals seeking to formalise their data analysis and reporting skills

Training methodology

  • The instructor guides delegates through lecture briefings, interactive technical demonstrations and facilitated group discussions.
  • Delegates complete practical spreadsheet and dashboard exercises, working directly with realistic corporate datasets.

Daily agenda

  1. Day 1

    Data Analysis Fundamentals and Data Preparation

    • Core principles and business value of systematic data analysis
    • Categorising data types, file structures and collection sources
    • Data hygiene, scrubbing and preparation workflows
    • Initial data profiling using statistical exploratory tools
    • Practical exercise: cleaning and standardising raw transactional data
  2. Day 2

    Statistical Analysis Techniques and Spreadsheets

    • Descriptive measures: mean, median, mode and variance calculations
    • Foundations of inferential statistics and hypothesis testing
    • Advanced spreadsheet analysis using core Excel functions and formulas
    • Practical exercise: executing analytical workflows in spreadsheets
    • Case study: identifying commercial trends in historical business data
  3. Day 3

    Visual Analytics and Interactive Dashboard Design

    • Design principles for accurate and effective visual communication
    • Comparative overview of analytical tools: Excel, Power BI and Tableau
    • Constructing informative charts, plots and summary visualisations
    • Building interactive dashboards and visual filters in Power BI
    • Practical exercise: developing an operational KPI dashboard
  4. Day 4

    Advanced Reporting, Automation and Analytical Storytelling

    • Data storytelling principles: structuring a coherent analytical narrative
    • Automating recurring reporting routines with macros and basic scripts
    • Trend projection, variance tracking and forward-looking reporting
    • Best practices for executive report writing and formatting
    • Practical exercise: compiling an end-to-end commercial business report
  5. Day 5

    Data Integration, Modelling and Stakeholder Presentation

    • Combining and reconciling data feeds from multiple corporate sources
    • Running scenario evaluations and quantitative decision models
    • Translating analytical findings into actionable business decisions
    • Group exercise: presenting analytical recommendations to stakeholders

Certificate

Every delegate who completes the course receives an ARUK Training Certificate of Attendance.

Frequently asked questions

How do I register?

Choose a date and city in the schedule and press Register, or send us an enquiry. Our team confirms your place and sends an invoice.

Are fees shown with VAT?

Fees are shown per delegate and exclude VAT, which is added to the invoice where applicable.

Can this course be delivered for our team only?

Yes. Any ARUK course can be delivered in-house at your premises, in a meeting room we book for you, or 1-to-1.

Is this course available online?

Yes. We run it live online with a trainer, on dates that suit your team, for £1,850 + VAT per delegate.

Is there a group discount?

Yes. 20% for 2 delegates, 35% for 3 delegates and 50% for 5 or more delegates on the same course.

Can the course be delivered in Arabic or another language?

Yes. Our courses can be delivered in English, Arabic or any European language, by a trainer who teaches in that language. Mention your preferred language when you register or enquire.

What certificate will I receive?

An ARUK Training Certificate of Attendance.

Related courses

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Data Analysis and Reporting Techniques

Key booking terms (read before you register)
  • The full fee is paid in advance, before the course starts.
  • Cancel in writing 30 or more days before the start date (45 for in-house) for a refund. Later than that, the full fee is payable.
  • No refund for non-attendance or partial attendance.
  • Places are for the named delegate only; another person cannot attend instead.
  • Moving to another date or city is only possible if ARUK agrees in writing.
  • Travel, accommodation and visas are your responsibility. A refused visa does not change the cancellation terms.

booking terms and conditions

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Data Analysis and Reporting Techniques