CDSP – Certified Data Science Practitioner

CertNexus (USA)

Certified Data Science Practitioner(CDSP)

Duration: 24 hours
Format: Instructor-Led
Credential: CDSP Certification (ANSI Accredited)
Prerequisites: Python programming, SQL, statistics knowledge
Certification Validity: 3 years
CPD Hours: 24

Validates hands-on data science skills including data extraction, transformation, analysis, machine learning model building, and deployment. This is an ANSI-accredited certification (ISO/IEC 17024:2012), representing the gold standard in data science practitioner credentials. Covers the complete data science lifecycle from problem formulation through production deployment.

Data analysts, BI professionals, financial analysts, IT professionals with programming background, anyone seeking hands-on data science certification. Python and SQL knowledge recommended.

Address business problems using data science methodology
Extract, transform, and load data from multiple sources
Analyse and visualise data to identify patterns and insights
Build and evaluate classification, regression, and clustering models
Deploy machine learning models to production environments
Communicate data science results to business stakeholders

1. Addressing Business Issues with Data Science - Initiate Project, Democratise Data, Formulate Problems
2. Extracting, Transforming, and Loading Data - ETL processes
3. Analysing Data - Examine, Explore Distribution, Visualisations, Preprocessing
4. Designing a Machine Learning Approach - ML Concepts, Transformers, Hypothesis Testing
5. Developing Classification Models - Train, Tune, Evaluate
6. Developing Regression Models - Train, Tune, Evaluate
7. Developing Clustering Models - Train, Tune, Evaluate
8. Finalising a Data Science Project - Communicate Results, Web App Demo, Production Pipelines

Exam Code	DSP-210
Format	MCQ + Performance-Based
Questions	90 (75 scored)
Duration	120 minutes
Passing Score	72%
Accreditation	ANAB ISO/IEC 17024:2012
Delivery	Online, proctored
Validity	3 years