Certified Data Science Practitioner®
Validate practical data science skills with CDSP, a vendor-neutral certification designed for programmers, data professionals, and analysts who want to demonstrate their ability to work with data, apply analytical techniques, build models, and communicate insights.
Take the exam and get certified!
Certified Data Science Practitioner®
Validate practical data science skills with CDSP, a vendor-neutral certification designed for programmers, data professionals, and analysts who want to demonstrate their ability to work with data, apply analytical techniques, build models, and communicate insights.
Take the exam and get certified!
CDSP Certification at a Glance
The Certified Data Science Practitioner (CDSP) certification is designed for professionals who want to validate practical, vendor-neutral data science knowledge and skills.
ANAB-Accredited AI Certification
CAIP is accredited by the ANSI National Accreditation Board under the ISO/IEC 17024 standard. This accreditation reflects that the certification program follows recognized requirements for personnel certification, including exam development, validity, reliability, and ongoing governance.
For learners and employers, ANAB accreditation provides added confidence that CAIP is more than a course completion credential. It is a third-party accredited certification designed to validate professional knowledge in artificial intelligence and machine learning.
Is CDSP Right for You?
The Certified Data Science Practitioner™ certification is designed for professionals who want to validate practical data science knowledge and skills across the data science lifecycle.
CDSP is a strong fit for learners who want to demonstrate practitioner-level understanding of how data is prepared, analyzed, modeled, evaluated, and communicated to support decision-making.
CDSP may be a fit if you want to:
- Validate vendor-neutral data science and analytics knowledge
- Demonstrate understanding of data preparation, analysis, and modeling
- Apply data science concepts to real-world business and technical scenarios
- Communicate insights clearly to stakeholders
- Earn a practitioner-level data science certification
Data Science Skills Validated by CDSP
The Certified Data Science Practitioner™ certification validates practical knowledge of data science concepts, data preparation, analysis, modeling, evaluation, and communicating insights.
CDSP validates knowledge in areas such as:
- Data science concepts, terminology, and use cases
- Data collection, preparation, cleaning, and transformation
- Exploratory data analysis and data visualization
- Statistical analysis and analytical techniques
- Machine learning concepts and model selection
- Model training, evaluation, and performance metrics
- Communicating data-driven insights to stakeholders
Technical and Data Science Related Roles
- Data Scientist
- Data Science Practitioner
- Machine Learning Engineer
- Data Engineer
- Research Scientist
- Statistical Analyst
- Analytics Engineer
- Applied Scientist
Analytics and Business Intelligence Roles
- Data Analyst
- Business Intelligence Analyst
- Business Intelligence Developer
- Reporting Analyst
- Marketing Analyst
- Operations Analyst
- Director of Business Intelligence
Data-Driven Business and Strategy Roles
- Data Product Manager
- Analytics Manager
- Decision Science Analyst
- Data Consultant
- Digital Strategy Analyst
- Data Evangelist
- Business Analyst
Not sure whether CDSP is the right next step? Take the readiness assessment to evaluate your current knowledge and identify areas to focus on before pursuing certification.
CDSP Exam Details
The Certified Data Science Practitioner™ exam evaluates whether candidates can collect, prepare, analyze, model, and interpret data to extract insights and support data-driven decision-making.
DSP-210
LAUNCH DATE
Sept 2024
SUNSET DATE
DSP-210 TBD
PASSING SCORE
72% or 69% depending on the exam form. Forms have been statistically equated.
NUMBER OF ITEMS
90 (of which 75 count towards final score)
ITEM FORMATS
Multiple Choice/Multiple Response
The CDSP certification is designed for professionals who want to demonstrate practical data science knowledge, including the ability to prepare data, apply analytical techniques, build predictive models, and communicate insights from data.
120 minutes (including 5 minutes for Candidate Agreement and 5 minutes for Pearson VUE tutorial)
In person at Pearson VUE test centers or online via Pearson OnVUE online proctoring
DSP-210 CONTRIBUTORS
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Indrani Gorti / Loblaw Digital https://www.linkedin.com/in/indrani-gorti-b48bb114/
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Sahar Nasiri / Delta Airlines https://www.linkedin.com/in/saharnasiri/
- Jennifer Fischer / GrandMasters (NJ) https://www.linkedin.com/in/jenlfischer/
- Rema Algunaibet / Pwc https://www.Linkedin.Com/In/Remaalgunaibet/
- Vinicius Madureira / Hospital de Amor https://www.linkedin.com/in/viniciusmadureira/
- Mahsa Seifikar / Ascend.io https://www.linkedin.com/in/mahsa-seifikar/
- Aaron Hui / The AI Robotics Ethics Society https://www.linkedin.com/in/aaron-t-hui-15aab5134/
- David Lengacher / lunum https://www.linkedin.com/in/davidlengacher/
The CDSP Certification Process
Preparing for the Certified Data Science Practitioner™ credential involves more than studying for the exam. Use the steps below to review the blueprint, assess your readiness, explore training, understand candidate policies, earn your certification, and maintain it over time.
Review the CDSP Exam Blueprint
Start by reviewing the official DSP-210 exam blueprint. It outlines the knowledge areas covered on the exam and helps you identify the topics to focus on while preparing.
DOWNLOAD BLUEPRINTTake the Readiness Assessment
Not sure whether you are ready for the CDSP exam? The readiness assessment can help you evaluate your current knowledge and identify areas where additional study may be helpful.
READINESS ASSESSMENTReview the Exam and Candidate Handbook
The handbook includes additional information on policies, scheduling, the assessment process, your rights, badges, handling complaints, and your responsibilities as a candidate.
REVIEW HANDBOOKExplore Certification-Aligned Training
While training is not required for certification, CertNexus Authorized Training Partners offer CDSP-aligned training designed to help candidates build practical data science and machine learning knowledge before taking the exam.
FIND CDSP TRAININGPractice and Reinforce Key Concepts
As you prepare, focus on data preparation, data analysis, statistical modeling, machine learning concepts, model evaluation, data visualization, and communicating insights from data.
VIEW COURSE OUTLINEBuy and Redeem Your Exam Voucher
Buy and then redeem an exam voucher at an authorized testing center and earn your certification by passing the exam.
BUY EXAM VOUCHERMaintain Your Certification
After earning your certification, learn how to maintain your credential over time.
RECERTIFICATIONNeed Help?
Contact CertNexus for guidance on CDSP certification, training options, exam policies, vouchers, certification maintenance, badges, or complaints.
CONTACT USWhy Earn the CDSP Certification?
The Certified Data Science Practitioner™ certification helps professionals validate practical, vendor-neutral data science knowledge through an ANAB-accredited certification.
Validate Practitioner-Level Data Science Knowledge
Show that you understand data preparation, analysis, modeling, evaluation, and communicating insights from data.
Earn an ANAB-Accredited Data Science Certification
CDSP is accredited by the ANSI National Accreditation Board under the ISO/IEC 17024 standard, giving learners and employers added confidence in the certification.
Build Confidence Working with Data
Develop knowledge to prepare data, apply analytical techniques, evaluate models, and support data-driven decision-making.
Share a Recognized Digital Credential
Highlight your achievement with employers, colleagues, clients, and professional networks after earning your certification.
CDSP Certification Holder Spotlight
See how Emmanuel Charles, a data scientist supporting federal analytics initiatives, used the Certified Data Science Practitioner™ certification to validate his data science knowledge and strengthen his professional credibility.
CDSP Certification FAQs
What is the Certified Data Science Practitioner™ certification?
The Certified Data Science Practitioner™ certification, or CDSP, is a vendor-neutral data science certification that validates practical knowledge of data preparation, analysis, modeling, evaluation, and communicating insights from data.
Who is CDSP designed for?
CDSP is designed for programmers, data professionals, analysts, and technical professionals who want to demonstrate practitioner-level data science knowledge. It may be a good fit for professionals working with data preparation, analytics, modeling, visualization, and data-driven decision-making.
Is CDSP an accredited certification?
Yes. CDSP is accredited by the ANSI National Accreditation Board under the ISO/IEC 17024 standard. This accreditation provides added confidence that the certification follows recognized requirements for personnel certification.
What topics are covered on the CDSP exam?
The CDSP exam covers data science concepts, data collection, data preparation, data cleaning, data transformation, exploratory data analysis, statistical modeling, machine learning concepts, model evaluation, data visualization, and communicating insights.
How should I prepare for the CDSP exam?
Start by reviewing the official DSP-210 exam blueprint, then take the readiness assessment to evaluate your current knowledge. Many candidates also prepare through certification-aligned training offered by CertNexus Authorized Training Partners.
How many questions are on the CDSP exam?
The CDSP exam includes 90 items, of which 75 count toward the final score. The exam uses multiple-choice and multiple-response item formats.
Where can I take the CDSP exam?
The CDSP exam is delivered through Pearson VUE and can be taken at a Pearson VUE test center or through an online proctored exam using Pearson OnVUE, depending on availability and candidate preference.
Do I need to complete CertNexus training before taking a certification exam?
No. CertNexus does not require candidates to complete a training course before taking a certification exam. Candidates may prepare in the way that works best for them, whether through CertNexus-authorized training, self-study, prior education, or professional experience.