A comprehensive learning path covering the essential features of Optimizely Analytics for analysts. Across this path, you'll explore the basic key concepts, learn to model and manage data, and build visualizations that turn raw inputs into clear insights across every stage of the analytics workflow.
Analytics Essentials for Analysts
Shape the way data flows into Analytics so you are ready to turn raw inputs into a reliable foundation for analytics and personalization.
Master the building blocks of data in Analytics — from raw source feeds to datasets — and walk away knowing how to structure, transform, and activate data to power smarter, decision-ready experiences.
Dig into your data with confidence using explorations and be equipped to turn questions into insights and insights into smarter decisions.
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Explorations
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Advanced Concepts
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Drafts and Edits
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Event Segmentation
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Experiment Scorecard
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Funnel Analysis
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Impact Analysis
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Path Analysis
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Retention Analysis
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SQL
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Universal Exploration
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Influence Analysis
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Beelines
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Opal Chat for Analytics
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Exploration Generation with Opal
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Statistical Methods for Experimentation
Define cohorts and metrics to model behavior in a way that drives sharper analysis and smarter action.
Master the fundamentals of blocks and learn how to utulize the block library for different purposes.
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Using the Block Editor
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Aggregate Block
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Alias Block
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And/or Block
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Behavioral Cohort Block
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Bin Block
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Filter Block
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Formula block
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If/then/else block
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Intervals engaged block
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Moving aggregation block
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Period vs. previous period block
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Previous value lookup
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Property block
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Rank block
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Attribution Block
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Event Aggregation Block
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Filtered Event Block
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Group By Block
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Retention Cohort Block
Transform raw numbers into clear, compelling stories with dashboards to turn complex data into views your team can actually act on.
Connect the dots between teamwork and user-level insight to investigate behavior and act on findings together.
