Certified: The CompTIA Data+ (Plus) Audio Course

By Jason Edwards

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Episodes: 63

Description

CompTIA Data+ DA0-002 PrepCast is an audio-first certification preparation series designed to help you build practical, test-ready judgment across the full Data+ blueprint. Across the course, you learn how to recognize what a scenario is truly asking, choose appropriate data sources and repositories, work confidently with common file types and structures, and apply core preparation techniques such as integration, joins, missing value handling, duplication and outlier checks, text cleaning, reshaping, and feature creation. The series also strengthens your ability to select and interpret statistical approaches and measures, translate requirements into clear communication, frame results with KPIs, and choose visualization and reporting artifacts that match the message without misleading the audience. Governance, privacy, and quality themes run throughout, including documentation, metadata, lineage, versioning, retention, access controls, exposure reduction, testing, and monitoring, so you can answer questions with consistency and defensible reasoning. Each episode is built for busy learners who want clear explanations, realistic scenarios, and repeatable decision frameworks that map directly to the exam’s style of problem-solving. You will repeatedly practice identifying constraints, avoiding common traps, and validating your thinking with simple checks so you can stay accurate under time pressure. Produced by BareMetalCyber.com, where you’ll find more cyber audio courses, books, and information to strengthen your educational path. Also, if you want to stay up to date with the latest news, visit DailyCyber.News for a newsletter you can use, and a daily podcast you can commute with.

Episode Date
Episode 62 — Final Spaced Review: Rapid Domain Walkthrough and Last-Minute Confidence Pass
Dec 17, 2025
Episode 61 — Exam-Day Tactics: A Simple Mental Model for DA0-002 Success
Dec 17, 2025
Episode 60 — Spaced Review: Governance, Privacy, and Quality Controls Fast Recall
Dec 17, 2025
Episode 59 — 5.4 Monitor Data Health: Profiling, Quality Metrics, Data Drift, Automated Checks, ISO
Dec 17, 2025
Episode 58 — 5.4 Assure Data Quality: Tests, Source Control, UAT, Requirement Validation
Dec 17, 2025
Episode 57 — 5.3 Reduce Exposure: PII, PHI, Data Sharing, Anonymization, Masking
Dec 17, 2025
Episode 56 — 5.3 Protect Sensitive Data: RBAC, Encryption in Transit, Encryption at Rest
Dec 17, 2025
Episode 55 — 5.2 Prepare for Audits: Ethics, Classification, PCI DSS, Incident Reporting
Dec 17, 2025
Episode 54 — 5.2 Navigate GDPR and Jurisdictional Requirements Without Guessing or Overreaching
Dec 17, 2025
Episode 53 — 5.2 Understand Retention, Storage, and Replication Rules for Compliance
Dec 17, 2025
Episode 52 — 5.1 Control Change with Versioning: Snapshots, Refresh Intervals, Traceability
Dec 17, 2025
Episode 51 — 5.1 Explain Data Documentation Artifacts: Dictionaries, Flow Diagrams, Explainability Reports
Dec 17, 2025
Episode 50 — 5.1 Build Governance Foundations: Documentation, Metadata, Lineage, Source of Truth
Dec 17, 2025
Episode 49 — Spaced Review: Visualization and Reporting Decisions You Must Nail Quickly
Dec 17, 2025
Episode 48 — 4.3 Handle Corrupt Data in Reports: Filtering, Reprocessing, Verification
Dec 17, 2025
Episode 47 — 4.3 Validate Calculations and Code: Review, Peer Checks, Monitoring Alerts
Dec 17, 2025
Episode 46 — 4.3 Fix Broken Filters and Stale Data: Source Validation, Structure Changes
Dec 17, 2025
Episode 45 — 4.3 Diagnose Report Performance: Load Time, Refresh Rate, Large Data Size
Dec 17, 2025
Episode 44 — 4.2 Manage Data Versioning: Snapshots, Real-Time Feeds, Refresh Intervals
Dec 17, 2025
Episode 43 — 4.2 Plan Dashboard Behavior: Static, Dynamic, Recurring, Ad Hoc, Self-Service
Dec 17, 2025
Episode 42 — 4.2 Deliver the Right Artifact: Dashboards, Portals, and Executive Summaries
Dec 17, 2025
Episode 41 — 4.1 Match the Visual to the Message: Avoiding Misleading Encodings
Dec 17, 2025
Episode 40 — 4.1 Design for Clarity: Labels, Legends, Branding, and Color Schemes
Dec 17, 2025
Episode 39 — 4.1 Choose Visual Types: Charts, Maps, Pivot Tables, and Infographics
Dec 17, 2025
Episode 38 — Spaced Review: Data Analysis Methods and Messaging Under Exam Pressure
Dec 17, 2025
Episode 37 — 3.3 Resolve SQL and User-Reported Issues: Logging, Source Validation, Communities
Dec 17, 2025
Episode 36 — 3.3 Troubleshoot Connectivity and Corrupted Data: First Checks That Matter
Dec 17, 2025
Episode 35 — 3.2 Apply Functions and Measures: Mathematical, Logical, Date, String Tools
Dec 17, 2025
Episode 34 — 3.2 Use Dispersion Measures: Variance and Standard Deviation to Gauge Spread
Dec 17, 2025
Episode 33 — 3.2 Use Central Tendency Measures: Mean, Median, Mode for Quick Insights
Dec 17, 2025
Episode 32 — 3.2 Select Statistical Approach: Descriptive, Predictive, Prescriptive, Inferential
Dec 17, 2025
Episode 31 — 3.1 Frame Results with KPIs: Making Metrics Answer the Business Question
Dec 17, 2025
Episode 30 — 3.1 Choose the Right Detail: Personas, Sensitivity, and Level of Detail
Dec 17, 2025
Episode 29 — 3.1 Tailor Findings for Audiences: Technical vs Non-Technical, Internal vs External
Dec 17, 2025
Episode 28 — 3.1 Translate Requirements into Communication: Mock-Ups, Accessibility, and Tone
Dec 17, 2025
Episode 27 — Spaced Review: Acquisition and Preparation Recall Without Notes or Shortcuts
Dec 17, 2025
Episode 26 — 2.3 Create Better Features: Binning, Scaling, Imputation, Derived Variables, Fields
Dec 17, 2025
Episode 25 — 2.3 Reshape Data Safely: Merging, Appending, Exploding, Deleting, Augmenting
Dec 17, 2025
Episode 24 — 2.3 Clean Text and Strings: RegEx, Parsing, Conversion, Standardization
Dec 17, 2025
Episode 23 — 2.2 Spot Duplication, Redundancy, Outliers, Completeness, Validation Issues
Dec 17, 2025
Episode 22 — 2.2 Detect Missing Values and Null Patterns Before Analysis Goes Wrong
Dec 17, 2025
Episode 21 — 2.1 ETL vs ELT and Data Collection: Surveys, Sampling, and Pipelines
Dec 17, 2025
Episode 20 — 2.1 Query Optimization Basics: Indexing, Parameterization, Subsets, Temporary Tables
Dec 17, 2025
Episode 19 — 2.1 Joins, Unions, and Concatenation: Choosing the Correct Merge Pattern
Dec 17, 2025
Episode 18 — 2.1 Querying Toolkit: Filters, Grouping, Aggregates, and Nested Queries
Dec 17, 2025
Episode 17 — 2.1 Data Integration Strategy: Combining Sources While Preserving Meaning and Keys
Dec 17, 2025
Episode 16 — Essential Terms: Plain-Language Glossary for Fast Recall and Clear Definitions
Dec 17, 2025
Episode 15 — Spaced Review: Data Concepts and Environments Rapid Recall Workout
Dec 17, 2025
Episode 14 — 1.5 Explain AI Concepts: Generative AI, LLM, NLP, Deep Learning, RPA
Dec 17, 2025
Episode 13 — 1.4 Pick the Right Tools: IDEs, Notebooks, BI Platforms, Packages, Languages
Dec 17, 2025
Episode 12 — 1.3 Choose Environments: Cloud Providers, On-Prem, Hybrid, Storage, Containers
Dec 17, 2025
Episode 11 — 1.2 Compare Repositories: Data Lakes, Lakehouses, Marts, Warehouses, Silos
Dec 17, 2025
Episode 10 — 1.2 Select Data Sources: Databases, APIs, Web Scraping, Files, and Logs
Dec 17, 2025
Episode 9 — 1.1 Recognize Data Types: Strings, Nulls, Numerics, Datetimes, Identifiers
Dec 17, 2025
Episode 8 — 1.1 Understand Tables and Schemas: Facts, Dimensions, Slowly Changing Dimensions
Dec 17, 2025
Episode 7 — 1.1 Map Data Structures: Structured Tables, JSON, and Unstructured Content
Dec 17, 2025
Episode 6 — 1.1 Decode Common File Extensions: CSV, XLSX, JSON, TXT, JPG, DAT
Dec 17, 2025
Episode 5 — 1.1 Master Relational vs Non-Relational Databases for Fast Exam Decisions
Dec 17, 2025
Episode 4 — Exam Acronyms: High-Yield Audio Reference for DA0-002 Recall
Dec 17, 2025
Episode 3 — Audio-Only Study Plan: Spaced Repetition Roadmap for Data+ Success
Dec 17, 2025
Episode 2 — Scoring, Question Types, and Time Strategy for Data+ DA0-002
Dec 17, 2025
Episode 1 — Start Smart: How the CompTIA Data+ DA0-002 Exam Really Works
Dec 17, 2025
Welcome to the CompTIA Data+ Certification Audio Course
Dec 17, 2025