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Web Analytics for Beginners
Learn what common website metrics measure, how the numbers are collected, and how to read them without drawing conclusions the data cannot support.
Work and IT Operations
Data and Analytics
Making sense of numbers produced by websites and tools.
Customer Segmentation Explained
Customer segmentation groups people by behavior or needs so messages fit them better. Learn common approaches, a simple example and the pitfalls to avoid.
Data Quality: Why Messy Data Leads to Bad Decisions
Duplicates, typos and missing values quietly distort reports. Learn the usual causes of unreliable data and simple habits that keep your records clean.
How A/B Testing Works
A/B testing compares two versions of a page or message fairly. Learn how random splits, sample size and test duration help you avoid misleading results.
Key Performance Indicators: Choosing a Few That Matter
Learn how to choose a small set of meaningful performance measures tied to your goals, and how to tell useful numbers from vanity metrics that only look good.
Reading a Dashboard Without Being Misled
Dashboards can distort the truth through averages, chart scales and selective date ranges. Learn the common traps and questions that help you read them critically.
Spreadsheets as a First Analytics Tool
A spreadsheet can handle sorting, filtering, summaries and simple charts for many small projects. See what it does well and when to consider something more.
Understanding Conversion Rates
A conversion rate shows the share of visitors who complete a chosen action. Learn how conversions are defined, how to calculate the rate and what influences it.
What Data Visualization Does Well
Charts can make patterns and comparisons clear at a glance. Learn which simple chart types suit which questions and which design choices make them easier to read.
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