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Statistics for Data-Driven Decisions

Course DMBI-026

Statistics for Data-Driven Decisions

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Classroom

16 sessions
2 - 6 November 2026 €2,830 + VAT Register
16 - 20 November 2026 €2,830 + VAT Register
7 - 11 December 2026 €2,315 + VAT Register
21 - 25 December 2026 €2,315 + VAT Register
18 - 22 January 2027 €1,875 + VAT Register
15 - 19 February 2027 €3,460 + VAT Register
15 - 19 March 2027 €1,925 + VAT Register
19 - 23 April 2027 €2,315 + VAT Register
17 - 21 May 2027 €3,460 + VAT Register
21 - 25 June 2027 €4,315 + VAT Register
19 - 23 July 2027 €3,400 + VAT Register
16 - 20 August 2027 €2,315 + VAT Register
20 - 24 September 2027 €1,875 + VAT Register
18 - 22 October 2027 €2,815 + VAT Register
15 - 19 November 2027 €1,978 + VAT Register
20 - 24 December 2027 €3,460 + VAT Register
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Online / Live

16 sessions
2 - 6 November 2026 €1,815 + VAT Register
16 - 20 November 2026 €1,815 + VAT Register
7 - 11 December 2026 €1,815 + VAT Register
21 - 25 December 2026 €1,815 + VAT Register
18 - 22 January 2027 €1,815 + VAT Register
15 - 19 February 2027 €1,815 + VAT Register
15 - 19 March 2027 €1,815 + VAT Register
19 - 23 April 2027 €1,815 + VAT Register
17 - 21 May 2027 €1,815 + VAT Register
21 - 25 June 2027 €1,815 + VAT Register
19 - 23 July 2027 €1,815 + VAT Register
16 - 20 August 2027 €1,815 + VAT Register
20 - 24 September 2027 €1,815 + VAT Register
18 - 22 October 2027 €1,815 + VAT Register
15 - 19 November 2027 €1,815 + VAT Register
20 - 24 December 2027 €1,815 + VAT Register
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Introduction

Course overview

Many business decisions rely on data, but misunderstanding statistics leads to wrong conclusions. Professionals need practical statistical literacy to analyse data and challenge claims.

This Aractech course covers descriptive statistics, probability, distributions, sampling, confidence intervals, hypothesis testing, correlation, regression and common pitfalls, with business examples and spreadsheet exercises.

View full course outline

What you will achieve

Learning objectives

  • Summarise data with descriptive statistics
  • Understand probability and distributions
  • Apply sampling and confidence intervals
  • Conduct and interpret hypothesis tests
  • Use correlation and regression
  • Avoid common statistical mistakes

Who should attend

Target audience

  • Business analysts
  • Managers using data
  • Quality and operations professionals
  • Marketing analysts
  • Researchers
  • HR and finance analysts

Methodology

Learning approach

  • Concept explanations
  • Spreadsheet exercises
  • Business case examples
  • Group problem-solving
  • Quizzes

Complete course outline

Five focused days of learning and application

The timings provided are estimates and may vary depending on the number of participants and the discussions taking place during the sessions. They are indicative only and do not constitute a binding commitment.

Day 1

Describing Data

  1. Data types
  2. Central tendency
  3. Variation
  4. Visualisation
  5. Coffee break
  6. Visualisation (continued)
  7. Outliers
  8. Lab: Descriptive statistics

Day 2

Probability and Distributions

  1. Probability basics
  2. Normal distribution
  3. Other distributions
  4. Coffee break
  5. Other distributions (continued)
  6. Business applications
  7. Exercise: Probability problems

Day 3

Sampling and Inference

  1. Sampling methods
  2. Sampling error
  3. Confidence intervals
  4. Coffee break
  5. Confidence intervals (continued)
  6. Sample size
  7. Lab: Confidence intervals

Day 4

Hypothesis Testing

  1. Hypotheses
  2. Significance
  3. t-tests
  4. Chi-square
  5. Coffee break
  6. Chi-square (continued)
  7. A/B testing
  8. Lab: Hypothesis tests

Day 5

Relationships and Pitfalls

  1. Correlation
  2. Regression
  3. Causation
  4. Coffee break
  5. Causation (continued)
  6. Common mistakes
  7. Capstone: Statistical analysis report

FAQ

Frequently asked questions

What does Statistics for Data-Driven Decisions (DMBI-026) cover?

This course covers Data Management and Business Intelligence through a structured five-day outline focused on practical application, discussion, and implementation planning.

When is the next available session?

The next scheduled session starts on 2 - 6 November 2026. See the course schedules section for the available dates and delivery formats.

Who should attend this course?

Business analysts, Managers using data, Quality and operations professionals

Is bilingual course delivery available?

Yes. All course materials and presentations are provided in English, while bilingual explanation and discussion support may be available depending on the selected location and trainer availability. For example, when attending a course in Istanbul, you may request a Turkish-speaking trainer to explain the English course content in Turkish. Arabic explanation support may also be requested at this location. Other languages are available in selected cities. You can choose your preferred language support as an optional preference during registration.

How can I register for a session?

Use any Register button next to the available course dates to open the participant registration page and submit your booking request for the selected session.

Is this course available online as well as classroom-based?

Check the course schedules section for currently published classroom and Online / Live sessions.

Where are classroom sessions delivered?

Current classroom venues include Amsterdam, London, Frankfurt, Rome, Kuala lumpur, Geneva, Madrid, Barcelona, Istanbul.

How long is the training programme?

The programme runs for five days from 09:00 to 14:00, which gives 25 contact hours, including a daily 30-minute break (22.5 hours of instruction).