Description
7th - 11th Sep 2026
Dubai, UAE
$5,950
Welcome to our Certified Data Science Practitioner (CDSP) public course - a complete, industry aligned program designed to prepare participants for the CertNexus® DSP-210 certification.
Includes: Hands-on Labs, Real-World Use Cases, Exam Preparation Resources & Unique AI application for exam preparation.
Classroom Schedule:
Certification Target
This course prepares learners for the CertNexus® Certified Data Science Practitioner (CDSP) Exam — DSP-210.
The CDSP credential is ANAB accredited (ISO/IEC 17024), ensuring global recognition and vendor-neutral validation of data science practitioner skills.
Introduction
The Netveva Certified Data Science Practitioner Program is a practice-oriented training designed to equip professionals with the skills required to deliver data science solutions in real organisational environments.
The program focuses on applying data science methods to business and institutional problems through a structured workflow covering data acquisition, analysis, modeling, and delivery of insights.
Delivered by experienced practitioners, the program emphasizes applied learning and realistic scenarios, ensuring participants can confidently work with data and communicate results that support informed decision-making.
Instructor
We bring you top-tier global AI experts as instructors, professionals who combine:
Strong academic backgrounds from leading international universities
Extensive industry experience across multiple sectors
Deep specialization in AI, ML, data science, and responsible AI practices
Multilingual communication abilities, ensuring clarity and accessibility for diverse audiences
Your instructor is not just a trainer, they are an active practitioner who has built, deployed, and governed AI systems in real-world environments, offering you invaluable insight that goes beyond textbooks.
Who Should Attend?
This program is designed for professionals who work with data or support data-driven decisions.
It is suitable for analysts, aspiring data scientists, software developers, IT and digital professionals, and managers involved in analytics or data initiatives.
Participants should have a basic understanding of computing concepts and some experience working with data.
Prerequisites
Participants should have:
Comfort with basic statistics and data analysis concepts
Familiarity with Python or another high-level programming language
Foundational knowledge of data handling, data types, and basic analytical workflows
Learning Objectives
By the end of the Netveva CDSP Program, participants will be able to:
• Translate business challenges into data science problems
• Collect, prepare, clean, and structure data for analysis
• Explore and analyze data to identify patterns and insights
• Build and evaluate classification, regression, and clustering models
• Select appropriate analytical approaches based on context
• Communicate analytical results to technical and non-technical stakeholders
• Deliver data science outputs that support decision-making
Organisational Impact
Organisations sponsoring participants gain immediate and practical value.
Teams develop stronger data literacy and analytical judgment. Decisions become more evidence-based. Data science initiatives are assessed more critically and executed more effectively.
The result is reduced reliance on external vendors, better alignment between data initiatives and organizational priorities, and greater confidence in turning data into actionable insight.
Certified Data Science Practitioner (CDSP)
Course Outline:
Exam Information
• Exam Code: DSP-210
• Format: Multiple choice and multiple response
• Duration: 120 minutes
• Passing Score: Determined by exam form
• Accreditation: ANAB accredited under ISO/IEC 17024
• Delivery: Online proctored via Pearson VUE
What's Included
• Expert-led instruction
• Hands-on labs aligned to the CDSP blueprint
• Digital courseware and datasets
• Exam preparation guidance (Special new AI preparation)
• Official CertNexus DSP-210 Exam Voucher
Customisation & Delivery Options
Ideal for:
Public enrolment
Corporate teams (customisable schedule and labs)
Industry-specific adaptations (finance, government, healthcare, retail)
