All Episodes
Displaying 21 - 40 of 63 in total
Episode 20 — 2.1 Query Optimization Basics: Indexing, Parameterization, Subsets, Temporary Tables
This episode covers query optimization in the way Data+ DA0-002 tends to frame it: improving performance and reliability without breaking correctness. You will define ...
Episode 21 — 2.1 ETL vs ELT and Data Collection: Surveys, Sampling, and Pipelines
This episode explains the difference between ETL and ELT and why the distinction matters on the Data+ DA0-002 exam when a question describes where transformations occu...
Episode 22 — 2.2 Detect Missing Values and Null Patterns Before Analysis Goes Wrong
This episode focuses on identifying missing values and null patterns, a frequent source of incorrect conclusions in DA0-002 questions that test data preparation judgme...
Episode 23 — 2.2 Spot Duplication, Redundancy, Outliers, Completeness, Validation Issues
This episode builds the data quality instincts tested in DA0-002, where questions often require you to identify what is wrong with a dataset and choose the most approp...
Episode 24 — 2.3 Clean Text and Strings: RegEx, Parsing, Conversion, Standardization
This episode teaches text and string cleaning as a disciplined preparation step, emphasizing the kinds of decisions DA0-002 questions present when messy fields prevent...
Episode 25 — 2.3 Reshape Data Safely: Merging, Appending, Exploding, Deleting, Augmenting
This episode covers reshaping data as changing structure without changing meaning, which is a central preparation skill tested on DA0-002 when a prompt describes combi...
Episode 26 — 2.3 Create Better Features: Binning, Scaling, Imputation, Derived Variables, Fields
This episode focuses on feature creation, which DA0-002 tests as the ability to transform raw fields into variables that better support analysis, modeling, and clear r...
Episode 27 — Spaced Review: Acquisition and Preparation Recall Without Notes or Shortcuts
This episode is a consolidation review of the acquisition and preparation domain for DA0-002, designed to strengthen recall and reduce common confusion points before y...
Episode 28 — 3.1 Translate Requirements into Communication: Mock-Ups, Accessibility, and Tone
This episode shifts to communication and requirement translation, a key competency in DA0-002 where prompts often describe a stakeholder request and ask what the data ...
Episode 29 — 3.1 Tailor Findings for Audiences: Technical vs Non-Technical, Internal vs External
This episode develops audience tailoring skills that DA0-002 tests through scenarios where the same analysis must be communicated differently depending on who receives...
Episode 30 — 3.1 Choose the Right Detail: Personas, Sensitivity, and Level of Detail
This episode focuses on selecting the appropriate level of detail, which DA0-002 often tests by presenting a scenario and asking what information should be included, o...
Episode 31 — 3.1 Frame Results with KPIs: Making Metrics Answer the Business Question
This episode focuses on framing results with KPIs in the way CompTIA Data+ DA0-002 expects: selecting and defining metrics that directly answer a stated business quest...
Episode 32 — 3.2 Select Statistical Approach: Descriptive, Predictive, Prescriptive, Inferential
This episode builds the decision skill behind choosing a statistical approach, which DA0-002 often tests by describing a goal and asking which method family best fits....
Episode 33 — 3.2 Use Central Tendency Measures: Mean, Median, Mode for Quick Insights
This episode explains central tendency measures as practical tools for summarizing a dataset, with a focus on making correct choices under DA0-002 prompts. You will de...
Episode 34 — 3.2 Use Dispersion Measures: Variance and Standard Deviation to Gauge Spread
This episode covers dispersion measures and why spread is often the difference between a stable process and a risky one, a theme that DA0-002 tests when prompts ask yo...
Episode 35 — 3.2 Apply Functions and Measures: Mathematical, Logical, Date, String Tools
This episode focuses on applying functions and measures in a way that supports accurate analysis and reporting, which DA0-002 tests through prompts that describe trans...
Episode 36 — 3.3 Troubleshoot Connectivity and Corrupted Data: First Checks That Matter
This episode focuses on first-response troubleshooting skills that appear in Data+ DA0-002 prompts when a pipeline fails, a data pull breaks, or results look corrupted...
Episode 37 — 3.3 Resolve SQL and User-Reported Issues: Logging, Source Validation, Communities
This episode builds a practical method for resolving SQL problems and user-reported issues in the way DA0-002 scenarios commonly present them: a mismatch between expec...
Episode 38 — Spaced Review: Data Analysis Methods and Messaging Under Exam Pressure
This episode consolidates the analysis and messaging concepts in DA0-002 by walking you through a rapid, structured recall session that connects methods to communicati...
Episode 39 — 4.1 Choose Visual Types: Charts, Maps, Pivot Tables, and Infographics
This episode covers how to choose visual types that accurately represent data and support decision-making, a common DA0-002 scenario pattern where the question asks wh...