Data
40 bites tagged Data — interview questions with model answers, and 60-second explainers.
Survey Research: How to Ask Better Questions
Survey research is the science of asking the right questions to the right people. It's used in market research and user feedback to understand a population. The footgun: assuming any questionnaire yields truth. Biased questions or samples create garbage data.
Data Labeling: Teaching Computers How to See
Data labeling is like creating flashcards for an AI. You show it an image and explicitly tell it what's important, like 'this is a cat.' It's essential for training models for self-driving cars or medical imaging.
Tracking Schema: Your Analytics Naming Convention
A tracking schema is the shared dictionary for your analytics, defining how you name user actions (events) and their details (properties). It's crucial for ensuring one team tracks "Song Played" the same way as another.
Data Ethics: Beyond 'Can We?' to 'Should We?'
Data ethics is the moral framework for handling data, especially personal data. It applies when building systems that collect user info or make automated decisions.
Self-Service Analytics: Let Teams Answer Their Own Data Questions
Self-service analytics gives business teams tools like Power BI to explore data and build reports without waiting for an analyst. This speeds up decision-making by giving teams direct data access.
Data Literacy: Reading the Story in the Numbers
Data literacy is reading comprehension for numbers. It's the ability to turn raw data into a coherent story, a crucial skill for anyone using dashboards or A/B test results. The biggest footgun is confusing correlation with causation.
Sampling: Estimating the Whole from a Small Part
Sampling lets you understand a large group by studying a small, representative piece. Think of it like tasting a spoonful of soup to season the whole pot. It's used in A/B tests and polls, but the main footgun is a biased sample.
The Semantic Layer: A Business Map for Company Data
A semantic layer is a translation dictionary for data, mapping cryptic database columns to plain business terms like "Revenue." It lets non-technical teams build reports without writing SQL.
Business Intelligence (BI) Tools: From Raw Data to Dashboards
BI tools turn raw company data into visual dashboards and reports. They let non-technical teams explore sales trends or user behavior from a data warehouse, but remember: a slick dashboard built on messy data is just a pretty lie.
Descriptive Statistics: What Your Data Looks Like
Descriptive statistics summarize the data you have, painting a picture of your sample without making guesses about the wider world. It's used for calculating things like average age or max response time.
Report Generation: Turning Raw Data into Human-Readable Documents
Report generators translate raw data into formatted documents for human eyes. They power business dashboards and sales summaries. The main footgun is forgetting the report is a stale snapshot, not the live data source itself.
GDPR: Treating User Data as a Liability, Not an Asset
GDPR treats personal data as a liability borrowed from the user. It gives EU citizens strong rights over their data, like access and erasure, forcing any company processing it to comply. The footgun is assuming it doesn't apply if your company isn't in the EU.
Data Anonymization: Protecting Privacy by Removing PII
Data anonymization breaks the link between data and real people by removing personal identifiers. It’s used to share datasets for research or analytics while protecting privacy.
Data Catalog: The Library Card for Your Data
A data catalog is like a library card catalog for your company's data, telling you what exists, where it lives, and what it means. It helps analysts find trustworthy datasets and engineers trace the impact of schema changes. The footgun is letting it go stale.
Data Cleansing: Fixing Your Data Before It Fails You
Data cleansing is quality control for your dataset, finding and fixing errors before they skew your analysis. It's a crucial first step in any data pipeline, from training an ML model to generating business reports. The footgun is assuming data is clean.
Customer Data Platform (CDP): Your Customer's Single Source of Truth
A Customer Data Platform (CDP) creates a single, persistent profile for each customer by unifying data from siloed sources. It's used for real-time personalization and AI-driven marketing. The footgun is confusing it with a CRM, which manages relationships.
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