Download the certification brochure (Spanish): Click here

Exam Details

• Exam Name: Data Science Certified Expert (DSCE)
• Exam Format: Multiple choice, online with remote supervision (proctoring)
• Exam Delivery: Safe Exam Browser
• Number of Questions: 50 questions: 70% scenarios / 30% conceptual
• Exam Duration: 90 minutes
• Passing Score: 70% (35 out of 50 correct answers)
• Available Languages: Spanish / English
• Attempts: Maximum 2 attempts (minimum 14 days between attempts)
• Validity: 3 years · 15 CPD credits per year

Main Subjects

• Data science fundamentals (20%): CRISP-DM; Descriptive to prescriptive analytics; Data quality; Correlation and causation.
• Statistics, mathematics and data analysis (20%): EDA; Distributions and the central limit theorem; Hypothesis testing; Regression.
• Machine learning and predictive models (25%): Supervised and unsupervised learning; Gradient boosting; Neural networks and LLMs; Validation and class imbalance.
• Data engineering and technologies (20%): Pandas and PySpark; SQL with window functions; ETL, ELT and Airflow; MLflow and data drift.
• Ethics, communication and business applications (15%): Bias and privacy; Dashboards and storytelling; KPIs and ROI; Agile project management.

Who is this certification for?

• Data scientists and analysts: Who want to validate their end-to-end skills.
• Data and ML engineers: Who complement their profile with statistics and modeling.
• Analytics leaders and consultants: Who communicate results with strategic value.

Prerequisites

No mandatory prerequisites: no prior experience, training or certification is required to take the exam. Recommended (not mandatory): inferential statistics, SQL and Python, and participation in analytics or machine learning projects. Having passed DACE is a good foundation but is not required.