Data Intelligence & Reporting Professional (CDIP)

  • Data Intelligence & Reporting Professional (CDIP)
  • Netherlands - Amsterdam

Data Intelligence & Reporting Professional (CDIP)

Course Category : Data Management

A professional technical programme focused on transforming raw data into actionable intelligence and producing reliable analytical reports that support evidence-based decision-making using recognised best practices. 5 Days – Intermediate Level.

Starts On

8 - June - 2026

Ends On

12 - June - 2026

Location

Netherlands - Amsterdam

Language

English

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View Course Introductory PDF

Targeted Audience

  • Data Analysts and Business Intelligence Analysts
  • Data and Information Administrators
  • Data and Analytics Managers
  • Entry-level and intermediate Data Scientists
  • Non-technical professionals seeking to understand the business value of data (Marketing, HR, Finance, Market Research)

Targeted Skills

  • Data Analysis and Decision-Making
  • Data Cleaning and Preparation
  • Business Intelligence and Statistics
  • Insight Generation
  • Professional Data Visualisation

Expected Outcomes

  • Apply the full data analytics lifecycle from source to final reporting.
  • Identify and manage different data types and sources effectively.
  • Use statistical and analytical methods to support business decisions.
  • Develop foundational analytical and predictive models.
  • Produce professional data visualisations to communicate business cases.

Training Topics Index

  • Data intelligence concepts and strategic value
  • The data analytics lifecycle
  • Business intelligence and decision support
  • Risks and challenges in data projects

  • Data sources and collection channels
  • Public and organisational data
  • Contemporary data laws and compliance
  • Data types and storage models

  • Data quality challenges
  • Data cleansing and preprocessing techniques
  • Variable selection and encoding
  • Preparing data for statistical analysis

  • Descriptive and inferential statistics
  • Data mining techniques
  • Predictive modelling and classification
  • Introduction to machine learning and NLP

  • Analytical visual design principles
  • Exploratory and explanatory graphics
  • Visualisation tools
  • Preparation for the EXIN Data Analytics Foundations exam