DataCamp Data Analyst Associate (DAA)
Applied Relational SQL Querying, Exploratory Statistical Diagnostics & Practical Business Case Submissions
"Achieved verified industry-standard Data Analyst Associate certification through a 174/86 score in timed SQL problem solving and perfect 4/4 task completions in the practical business examination, officially verified by DataCamp's Certification Authority."
// ENROLLED MODULES & CURRICULUM (4)
Relational multi-table joins, window functions (ROW_NUMBER, DENSE_RANK, LAG), and aggregate transaction filtering under strict timed constraints.
Complete data cleansing, 15/15 column schema validation, relational aggregations, and decision-ready stakeholder synthesis.
Distribution skewness diagnostics, IQR outlier detection, missing value imputation, and correlation analysis.
Bottom-Line-Up-Front (BLUF) delivery, reproducible analytical dossiers, and strategic revenue recommendations.
Official Credential Verification:
- Authority: DataCamp Certification Authority
- Credential ID: DAA0012071407542
- Verification Link: datacamp.com/certificate/DAA0012071407542
- Completion Date: August 29, 2026
- Official Certificate PDF: Download Verified Certificate (/certificates/DataCamp_Data_Analyst_Associate_DAA0012071407542.pdf)
01. Certification Overview & Result Summary
The DataCamp Data Analyst Associate (DAA) is a rigorous, industry-recognized professional credential that assesses practical data analysis, SQL database manipulation, statistical data validation, and business decision communication.
📊 Examination Performance Scorecard
| Assessment Stage | Exam Code | Completion Status | Performance / Score | Validation Outcome |
|---|---|---|---|---|
| Stage 1: Timed Exam | DA101 | 🟢 COMPLETED (PASSED) | 174 / 86 | Exceeded pass threshold by > 202% |
| Stage 2: Practical Exam | DA501P | 🟢 COMPLETED (PASSED) | 4 / 4 Tasks | 100% schema match (15/15 columns validated) |
02. Core Examination Pillars
| Assessment Pillar | Focus Dimension | Evaluated Competencies |
|---|---|---|
| 01. Timed SQL Exam | Relational Querying | Multi-table JOIN, WINDOW functions (ROW_NUMBER, DENSE_RANK), Common Table Expressions (CTE), and conditional aggregations (CASE WHEN). |
| 02. EDA & Statistics | Statistical Diagnostics | Data distribution evaluation, outlier detection (IQR), normality diagnostics, and hypothesis testing. |
| 03. Practical Business Exam | Capstone Case Delivery | End-to-end dataset cleansing, metric formulation, customer segmentation, and commercial recommendations on the FoodYum business case. |
| 04. Executive Communication | Decision Framing | Clear chart visual hierarchy, bottom-line-up-front (BLUF) executive synthesis, and reproducible SQL scripts. |
03. Practical Exam Breakdown (FoodYum Case Study)
The practical exam required ingesting, validating, and querying raw restaurant transaction records under strict data quality rules:
- Task 1 (Data Validation & Cleansing): Checked 8 columns against categorical and numeric domain constraints, replacing missing values with category medians and standardized labels (
15/15 checks passed). - Task 2 (Comparative Analysis): Quantified customer dining frequency across payment channels and isolated repeat visit trajectories.
- Task 3 (Distribution Analysis): Computed percentile ranks and identified spend dispersion patterns across metropolitan vs suburban outlets.
- Task 4 (Business Metric Formulation): Formulated actionable promotional recommendations to lift off-peak weekday basket size.
Verification Status: 100% Verified by DataCamp Certification Authority. Official certificate and digital badges are archived and available for stakeholder inspection.