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DB-006

Certified Data Analytics Professional (CDAP)

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

People starting data analytics roles, and professionals interested in its business uses, study analysis in a 5 day course with 6 modules. Delegates collect and prepare data, apply statistical and analytical methods, and present findings visually. Practical work uses sources such as Excel, Python and PowerBI, with EXIN examination preparation included alongside workplace applications.

Classroom

Public courses in our cities

  • 19–23 Oct 2026Rome£3,400 + VAT
  • 19–23 Oct 2026Manama£3,080 + VAT
  • 2–6 Nov 2026Munich£3,400 + VAT
  • 16–20 Nov 2026Dubai£4,200 + VAT
  • 7–11 Dec 2026Riyadh£4,200 + VAT
  • 21–25 Dec 2026Amsterdam£3,400 + VAT
Show 24 more dates
  • 4–8 Jan 2027Manama£3,080 + VAT
  • 18–22 Jan 2027Munich£3,400 + VAT
  • 1–5 Feb 2027Amman£3,400 + VAT
  • 15–19 Feb 2027Kuala Lumpur£1,800 + VAT
  • 1–5 Mar 2027Madrid£3,400 + VAT
  • 15–19 Mar 2027Rome£3,400 + VAT
  • 5–9 Apr 2027Munich£3,400 + VAT
  • 19–23 Apr 2027Berlin£3,400 + VAT
  • 3–7 May 2027Milan£3,400 + VAT
  • 17–21 May 2027Amsterdam£3,400 + VAT
  • 7–11 Jun 2027Malaga£3,080 + VAT
  • 21–25 Jun 2027Munich£3,400 + VAT
  • 5–9 Jul 2027Sarajevo£3,400 + VAT
  • 19–23 Jul 2027Kuala Lumpur£1,800 + VAT
  • 2–6 Aug 2027Dubai£4,200 + VAT
  • 16–20 Aug 2027Rome£3,400 + VAT
  • 6–10 Sep 2027Munich£3,400 + VAT
  • 20–24 Sep 2027Riyadh£4,200 + VAT
  • 4–8 Oct 2027Doha£4,200 + VAT
  • 18–22 Oct 2027Amsterdam£3,400 + VAT
  • 1–5 Nov 2027Geneva£4,200 + VAT
  • 15–19 Nov 2027Munich£3,400 + VAT
  • 6–10 Dec 2027Abu Dhabi£4,200 + VAT
  • 20–24 Dec 2027Kuala Lumpur£1,800 + 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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Certified Data Analytics Professional (CDAP)

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Course overview

Data analytics uses statistical principles with roots described as reaching back to Ancient Egypt. Globalisation and technological developments have expanded its use in strategic decisions and created specialised analyst, scientist and engineer roles. The course context cites a Forbes report associating analytics with a 23-fold greater likelihood of customer acquisition and a 6-fold greater likelihood of retention; it also cites McKinsey's estimate of a 23-fold advantage in customer acquisition and an estimated 2.5 quintillion bytes of data generated globally each day.

CDAP develops the work behind an analysis. Delegates formulate research questions, collect and organise information and turn unstructured sources into findings that address business challenges. Preparation includes cleaning and scrubbing methods before statistical analysis, data mining, machine learning and language processing. Algorithms, regression, classification and clustering accompany association and sequence analysis. Visual design then connects plots, graphs and heatmaps with the presentation of a business case, using interactive exercises and discussion.

Course objectives

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

  1. Turn unstructured data from sources such as Excel, Python and PowerBI into findings that address business problems
  2. Formulate research questions and collect, clean and organise supporting data
  3. Apply statistical methods, mining techniques and algorithms to interpret data
  4. Present organisational findings through plots and graphs that support a business case
  5. Explain visual design techniques and use data visualisation tools

Target competencies

  • Interpretation of data findings
  • Business intelligence
  • Data cleaning
  • Data analysis
  • Data visualisation

Who should attend

This course suits:

  • People beginning data or information analyst roles
  • Business intelligence analysts
  • Data administrators
  • Business information managers
  • Data and analytics managers
  • Data scientists
  • Professionals interested in the business benefits and methods of data analysis
  • Digital marketing and media specialists
  • Market research analysts
  • Business analysts
  • Finance professionals
  • Human resources (HR) professionals

Training methodology

  • Interactive practical exercises prepare delegates for workplace applications and the EXIN examination.
  • Visualisation, group discussions, exercises and presentations form the teaching techniques.

Course modules

  1. Module 1

    Analysis and business findings

    • Introducing the analytics process
    • Concepts underpinning data analytics
    • Steps used in an analytics process
    • Risks associated with analytical work
    • Business intelligence in business decisions
  2. Module 2

    Collecting and managing datasets

    • Channels for collecting data
    • Finding public data sources
    • Current data laws and compliance requirements
    • Raw, structured, unstructured and big data
    • Types of database
    • File systems that operate across distributed resources
    • Cloud solutions and their benefits
    • Dependent and independent variable types
    • Continuous and discrete variable types
  3. Module 3

    Problems affecting data quality

    • Identifying data problems
  4. Module 4

    Preparing data through scrubbing

    • Selecting variables
    • Combining variables
    • Applying one-hot encoding
    • Grouping values into bins
    • Methods for scrubbing data
    • Retaining data
  5. Module 5

    Statistical and computational analysis

    • Connecting analytics with statistics
    • Descriptive and inferential statistical methods
    • Methods of data mining
    • Methods of machine learning
    • Introducing Natural Language Processing (NLP)
    • Methods and techniques used in NLP
    • Relationships between data and algorithms
    • Using regression analysis
    • Using classification models
    • Using cluster analysis
    • Association analysis and mining sequences
  6. Module 6

    Visual design and presentation

    • Graphics for explanation and exploration
    • Different chart types
    • Different plot types
    • Using heatmaps
    • Aesthetic principles in design
    • Tools for visualising data

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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Certified Data Analytics Professional (CDAP)

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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Certified Data Analytics Professional (CDAP)