DA0-001 Data Analytics Prep is made and published by
Davy Raitt.
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About DA0-001 Data Analytics Prep
DA0-001 Data Analytics Prep is an education app developed by Davy Raitt.
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App Information
DA0-001 Data Analytics Prep is freely available from the App Store. The app size is 26.74 MB. The latest version available is 5.0.0. The last update was on September 9, 2026.
Technical Requirements
The app has a content rating of Everyone. The app has been available on the App Store since March 2026.
Description by Davy Raitt(from the App Store)
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.
Each subscription will automatically renew 3 days before the expiration date for
the same time period. Subscriptions can be cancelled at any time before the renewal.
