Certified Data Science Practitioner (CDSP)

Course

Length

10 Days

Type

Classroom

Recognised By

Recognised organisation
VenueAvailable Date
Dubai05-07-2026
Istanbul06-07-2026
Kuala Lumpur06-07-2026
London13-07-2026
Amsterdam20-07-2026
Paris20-07-2026
Singapore20-07-2026
Milan27-07-2026
Barcelona27-07-2026
Kuala Lumpur03-08-2026
Istanbul03-08-2026
Paris10-08-2026
London17-08-2026
Milan17-08-2026
Dubai23-08-2026
Singapore24-08-2026
Barcelona24-08-2026
Amsterdam31-08-2026
Dubai06-09-2026
Istanbul07-09-2026
Kuala Lumpur07-09-2026
London14-09-2026
Amsterdam21-09-2026
Paris21-09-2026
Singapore21-09-2026
Milan28-09-2026
Barcelona28-09-2026
Dubai04-10-2026
Kuala Lumpur05-10-2026
Milan05-10-2026
Paris12-10-2026
Istanbul12-10-2026
Amsterdam12-10-2026
Singapore26-10-2026
Barcelona26-10-2026
London26-10-2026
Istanbul02-11-2026
Singapore02-11-2026
London09-11-2026
Paris09-11-2026
Barcelona09-11-2026
Amsterdam16-11-2026
Dubai22-11-2026
Milan30-11-2026
Kuala Lumpur30-11-2026
Dubai06-12-2026
Kuala Lumpur07-12-2026
Milan07-12-2026
Paris14-12-2026
Istanbul14-12-2026
Amsterdam14-12-2026
Singapore28-12-2026
Barcelona28-12-2026
London28-12-2026

How can organisations transform growing volumes of data into meaningful insights that support better business decisions? As companies increasingly rely on data to improve performance, understand customers, manage risks, and identify new opportunities, the demand for professionals who can analyse and interpret data has grown significantly across all industries.


Data science combines analytical thinking, statistical methods, programming skills, and machine learning techniques to uncover patterns and generate actionable insights from complex datasets. However, creating business value from data requires more than technical knowledge alone. It also requires a structured approach that connects business objectives with data preparation, analysis, modelling, and effective communication of results.


The Certified Data Science Practitioner (CDSP) programme by LPC provides participants with a practical and comprehensive understanding of the data science lifecycle, from problem definition and data preparation to machine learning model development and deployment. Through hands-on exercises, real-world case studies, and applied analytics techniques, participants will learn how to build data-driven solutions, develop predictive models, and deliver insights that support informed decision-making and organisational success.