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IT-012

Data Analytics for Managerial Decision Making

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

Management support professionals and analysts examine how data analytics informs decisions over 5 days. Delegates use Microsoft Excel to explore data, describe samples and draw statistical inferences. Hypothesis testing, regression and data mining support evidence assessment, with worked examples and workshops focused on interpreting findings in strategic, policy and operational management contexts.

Classroom

Public courses in our cities

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

Management decisions draw on evidence. This course examines how data analytics supports strategic initiatives, policy and operational choices, with practical attention to the meaning of statistical findings and the quantitative reasoning used in decisions.

Data supplies the starting material. Delegates examine types, quality and preparation before using Excel pivot tables, summary tables and visual displays to profile samples. Numeric descriptions and distributions precede sampling, uncertainty and confidence intervals.

Testing asks a different statistical question. The agenda covers hypotheses, errors and tests involving one population, independent populations, matched pairs and several population means. Prediction work then uses regression and evaluates the models it produces.

Daily workshops connect these techniques with management applications. Descriptive and predictive data mining complete the analytical work, while discussions emphasise valid and critical interpretation of evidence. Delegates are encouraged to bring data from their own work to analyse and to consider how statistical thinking fits their professional context.

Course objectives

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

  1. Explain how data analytics supports decisions
  2. Describe the scope and structure of data analytics
  3. Apply a selection of useful analytical methods
  4. Interpret statistical evidence and assess it critically
  5. Identify relevant uses of data analytics in practice

Who should attend

This course suits:

  • Professionals supporting management
  • Analysts regularly handling data or analytical information at work
  • People seeking greater decision value from data analytics

Training methodology

  • Daily interactive workshops use adult learning techniques and discussion of management applications.
  • Practical work applies data analytics methods with Microsoft Excel.
  • Delegates are encouraged to bring and analyse their own work data.
  • The discussion emphasises valid interpretation of statistical evidence in management.

Daily agenda

  1. Day 1

    Statistical thinking in management

    • Introducing quantitative work in management
    • Statistical thinking in management applications and identification of KPIs
    • How the elements of data analytics fit together
    • Data types, quality and preparation for analysis
    • Exploratory analysis with Excel pivot tables
    • Profiling sample data through summary tables and visual displays
  2. Day 2

    Observational evidence and numeric descriptions

    • Numeric descriptions of sample data
    • Central and non-central measures of location
    • Measuring dispersion within samples
    • Numeric distributions, skewness and bimodality
    • Relationships between numeric descriptors
    • Breaking down numeric measures for analysis
  3. Day 3

    Inferences drawn from samples

    • Principles underlying statistical inference
    • Using the normal probability distribution to quantify uncertainty
    • Sampling's role in inferential analysis
    • Methods based on random sampling
    • Understanding sampling distributions
    • Estimating confidence intervals
  4. Day 4

    Testing hypotheses for decisions

    • Reasons for hypothesis testing
    • The testing process and types of error
    • Tests of a single population mean
    • Comparing means from two independent populations
    • Tests using matched pairs
    • Comparing means from multiple populations
  5. Day 5

    Prediction through models and mining

    • Using statistical relationships in prediction models
    • Regression analysis for model development
    • Reasons for regression models and methods for evaluating them
    • Origins and development of data mining
    • Management applications of descriptive data mining
    • Management applications of predictive, goal-directed data mining

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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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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