Global Venues Corporate Training Certifications
sparktraining.eu +31 85 115 0004 Request a Quote
? Q
Home Course Finder Certified Data Analytics Professional (CDAP)
Data Management and Business Intelligence

Certified Data Analytics Professional (CDAP)

Organizations that leverage data analytics are 23 times more likely to acquire customers and six times more likely to retain them, according to a Forbes report. Additionally, McKinsey estimates that data-driven organizations are 23 times more likely to outperform their non-data-driven counterparts in terms of customer acquisition. Data analytics, rooted in statistical principles dating back to Ancient Egypt, has witnessed an exponential surge in recent times due to globalization and technological advancements. With an estimated 2.5 quintillion bytes of data generated daily globally, organizations increasingly harness data to drive strategic decision-making. This surge has led to the emergence of specialized roles like data analysts, data scientists, and data engineers.

Rome - ItalyData Management and Business Intelligence
Course schedules
Upcoming dates Classroom
Start date End date Location Fee Registration
Rome - Italy
€2,125 + VAT
→
Munich - Germany
€1,725 + VAT
→
Amsterdam - Netherlands
€2,125 + VAT
→
Kuala Lumpur - Malaysia
€1,400 + VAT
→
Barcelona - Spain
€1,925 + VAT
→
Geneva - Switzerland
€2,625 + VAT
→
Munich - Germany
€2,125 + VAT
→
Kuala Lumpur - Malaysia
€1,400 + VAT
→
Request an in-house date
Online live Remote

19 - 23 October 2026 €1,050 + VAT → 2 - 6 November 2026 €1,050 + VAT → 21 - 25 December 2026 €1,050 + VAT → 18 - 22 January 2027 €1,050 + VAT → 15 - 19 February 2027 €1,050 + VAT → 15 - 19 March 2027 €1,050 + VAT → 19 - 23 April 2027 €1,050 + VAT → 17 - 21 May 2027 €1,050 + VAT →

Why Attend

Organizations that leverage data analytics are 23 times more likely to acquire customers and six times more likely to retain them, according to a Forbes report. Additionally, McKinsey estimates that data-driven organizations are 23 times more likely to outperform their non-data-driven counterparts in terms of customer acquisition.

Data analytics, rooted in statistical principles dating back to Ancient Egypt, has witnessed an exponential surge in recent times due to globalization and technological advancements. With an estimated 2.5 quintillion bytes of data generated daily globally, organizations increasingly harness data to drive strategic decision-making. This surge has led to the emergence of specialized roles like data analysts, data scientists, and data engineers.

Course Objectives
  • Refine unstructured data from sources, such as Excel, Python, or PowerBI, into structured insights that will solve business challenges
  • Understand concepts relating to generating a research question, such as collecting, cleaning, and organizing data
  • Comprehend statistical methods, data mining techniques, and algorithms to support the interpretation of data
  • Generate insights for the organization by illustrating findings in plots and graphs to present a business case with solidly backed insights
  • Describe and illustrate Data Visualizing design techniques and utilize visualization tools
Designed for

This program is intended for professionals involved in Data Management and Business Intelligence.

  • This course is designed for anyone at the start of a data analytics role, such as data/information analysts, business intelligence analysts, data administrators, business information managers, data/analytics managers and data scientists. This course is also suitable for those who are interested in the business benefits of data analysis and the techniques involved in it. These roles could include, but are not limited to, digital marketing/media specialists, market research analysts, business analysts, finance professionals and HR professionals.
Course Methodology

This is an interactive course, preparing participants both for the EXIN examination and real life applications with hands-on exercises. Course training techniques include visualization, group discussions, exercises, and presentations.

Course content
Day1

Turning data into insights

  • Introduction to the process of data analytics
  • Concepts related to data analytics
  • Steps in the process of data analytics
  • Risks in data analytics
  • Business Intelligence and business decisions
Day2

Data collecting, organizing, and managing

  • Data collection channels
  • Sourcing public data
  • Contemporary data laws and compliance
  • Raw data, structured data, unstructured data and big data
  • Database types
  • Distributed file systems
  • Cloud solutions and their advantages
  • Dependent and independent variables
  • Continuous and discrete variables
Day3

Data cleaning

  • Data problems
Day4

Data scrubbing methods:

  • Variable selection
  • Merging variables
  • One-hot encoding
  • Binning
  • Data scrubbing techniques
  • Data retention
Day5

Data analyzing

  • Data analytics and statistics
  • Descriptive statistics and inferential statistics
  • Data mining
  • Machine learning
  • Natural Language Processing (NLP)
  • Methods and techniques of Natural Language Processing (NLP)
  • Data and algorithms
  • Regression analysis
  • Classification models
  • Clustering analysis
  • Association analysis and Sequence mining
  • Day 6: Data visualizing
  • Explanatory and exploratory graphics
  • Types of charts
  • Types of plots
  • Usage of heatmaps
  • Aesthetic design
  • Visualization tools
The certificate

SPARK Training Certificate of Completion is awarded to participants who attend and complete the full training course.

Need help

Still Have Questions?

We can help with group enrollment, custom delivery formats, or selecting the right leadership pathway for your organization.

Contact Us
Explore this topic

Related Training Courses