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Exam Details

• Exam Name: Data Analytics Certified Expert (DACE)
• 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 15 days between attempts)
• Validity: 3 years · 20 CPD credits per year

Main Subjects

• Data Analytics fundamentals and the data lifecycle (12%): Purpose and business value of analytics; Descriptive, diagnostic, predictive and prescriptive analytics; Stages of the data lifecycle; Roles and responsibilities in the data ecosystem; Typical data sources in an organization.
• Data collection, cleaning and preparation (18%): Assessing the quality of a dataset; Cleaning and transformation techniques; Integrating data from multiple sources; Documenting the preparation process to ensure traceability.
• Exploratory analysis and applied statistics (20%): Measures of central tendency and dispersion; Exploratory data analysis (EDA); Correlation versus causation; Hypothesis testing and statistical significance; Common biases in data analysis.
• Data visualization and storytelling (16%): Choosing the visualization by data type; Visual design principles to avoid misleading representations; Audience-specific dashboards; Storytelling with data.
• Predictive modeling and applied machine learning (20%): Supervised, unsupervised and reinforcement learning; Workflow of a modeling project; Evaluation metrics for classification and regression; Overfitting and underfitting; Model interpretability.
• Data governance, ethics and communication of results (14%): Data governance principles; Ethics in data analysis; Basic privacy and personal data protection requirements; Clear and honest communication of analytical results; CertJoin Code of Ethics.

Who is this certification for?

• Data and business intelligence analysts: Who seek to formally validate and structure their analytical skills.
• Professionals moving into data science: Who need a solid, recognized foundation before specializing in advanced modeling.
• Data and analytics team leaders: Who need a common reference framework to assess their team.
• Digital transformation and data consultants: Who want to extend their skill portfolio toward applied analytics.
• Business professionals with a strong analytical component: Who need to interpret and communicate data rigorously in their role.

Prerequisites

Mandatory: Data Analytics Certified Associate (DACA), valid at the time of registration. DACE is the second level of the CertJoin Data Analytics path.