DA0-001 Data Analytics Prep
Davy Raitt Education iPhoneiPadiPod touch
DA0-001 Data Analytics Prep is a free Education app for iPhone and iPad by Davy Raitt. Requires iOS 15.0. Updated September 9, 2026.
- Price
- Free
- on the App Store
- Size
- 27 MB
- Age 4+
- Updated
- Sep 9
- 2026 · v5.0.0
Screenshots
About DA0-001 Data Analytics Prep
PASS YOUR COMPTIA DATA+ (DA0-001) EXAM Master data analytics concepts with 500+ practice questions designed to get you certified on your first attempt. 500+ practice questions 5-minute study sessions Track your progress Remove mastered questions Text-to-speech support Dark mode available WHY GET CERTIFIED? Data analytics professionals earn up to $203K annually (Skillsoft 2024). CompTIA Data+ validates your ability to transform raw data into actionable insights, making you indispensable to any data-driven organization. WHAT YOU'LL MASTER: • Star and snowflake schemas with fact tables, dimensions, and normalization tradeoffs • OLTP vs OLAP systems including transactional processing and analytical workloads • Relational vs non-relational databases covering SQL, document, key-value, and graph models • ETL vs ELT pipelines with extraction, transformation, and loading strategies • Data types and levels of measurement including nominal, ordinal, interval, and ratio • Data mining techniques including clustering, classification, and regression analysis • Data cleansing methods for deduplication, missing values, and outlier handling • Data profiling and quality validation with completeness, consistency, and accuracy checks • Data visualization best practices using bar charts, histograms, scatter plots, and heat maps • Data governance frameworks including metadata management, data stewardship, and lineage tracking • Structured, semi-structured, and unstructured data formats including JSON, XML, and flat files • Slowly changing dimensions with Type 1, Type 2, and Type 3 historical tracking methods • SQL operations including joins, subqueries, aggregations, and GROUP BY with HAVING clauses • Sampling methods covering simple random, stratified, cluster, and systematic techniques • Statistical analysis concepts including hypothesis testing, p-values, confidence intervals, and correlation STUDY ANYWHERE: Coffee breaks. Commutes. Lunch hours. Turn dead time into data analytics expertise. Download now. Pass your exam. Master data.
What’s new
Version 5.0.0 · Updated September 9, 2026
Bug fixes and performance improvements