ISQI CDFL Exam Overview:
| Certification Vendor: | iSQI (International Software Quality Institute) |
|---|---|
| Exam Name: | iSQI Certified Data Science Foundation Level (CDFL) |
| Exam Number: | CDFL |
| Available Languages: | English, German |
| Certificate Validity Period: | 3 years (typical iSQI certification validity; may vary by program update) |
| Real Exam Qty: | 40 |
| Exam Price: | Varies by region (~€200–€300 equivalent depending on test provider) |
| Exam Format: | Closed book exam, Scenario-based questions, Multiple Choice Questions (single/multiple response) |
| Passing Score: | Typically ~65% (exact official threshold may vary by exam provider and version) |
| Related Certifications: | iSQI Certified Data Science Advanced Level (if applicable in pathway) ISTQB Foundation Level (related foundational certification ecosystem) |
| Exam Duration: | 60 minutes |
| Recommended Training: | Data Science Foundation Courses (general prep providers) iSQI Accredited Training Providers |
| Exam Registration: | Pearson VUE iSQI exams iSQI Official Exam Portal |
| Exam Way: | Online proctored (FLEX) or test center (Pearson VUE depending on region) |
| Pre Condition: | No formal prerequisites required; basic IT/data literacy recommended |
| Official Syllabus URL: | https://isqi.org/ |
ISQI CDFL Exam Syllabus Topics:
| Section | Objectives |
|---|---|
| Topic 1: Fundamentals of Data Science | - Data science lifecycle overview - Basic concepts of data, information, and knowledge - Roles in data science teams |
| Topic 2: Data Management and Preparation | - Data collection and sources - Data quality concepts - Data cleaning and preprocessing |
| Topic 3: Exploratory Data Analysis | - Data visualization basics - Descriptive statistics |
| Topic 4: Introduction to Machine Learning | - Basic model evaluation concepts - Supervised vs unsupervised learning |
| Topic 5: Data Ethics and Governance | - Privacy and data protection principles - Ethical use of data and AI |
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