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User Segmentation and Power User Analysis in SQL
What are user segmentation techniques? How to locate your Power users? How to do user segmentation analysis in SQL?
Jun 29, 2020
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Olga Berezovsky
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User Segmentation and Power User Analysis in SQL
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Spring Recap: 100 Winning Tests, No Growth
Reflections from data summits, industry shifts, and what we’re still getting wrong in analytics.
Jun 18
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Olga Berezovsky
8
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Spring Recap: 100 Winning Tests, No Growth
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Which Analyst Are You? - Issue 262
Data analyst career guide: an overview of roles, skills, and industry trends
Jun 11
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Olga Berezovsky
12
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Which Analyst Are You? - Issue 262
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How to Report on DAU/MAU Ratio - Issue 261
How to interpret DAU/MAU with benchmarks, examples, and align it with your product’s real usage frequency.
Jun 4
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Olga Berezovsky
2
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How to Report on DAU/MAU Ratio - Issue 261
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When Great Work Isn’t Enough - Issue 260
How invisible contributions undermine career growth (and what to do about It)
May 28
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Olga Berezovsky
14
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When Great Work Isn’t Enough - Issue 260
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My Consulting Journey: $0 to $685K in 6 months - Issue 232
Nov 13, 2024
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Olga Berezovsky
101
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My Consulting Journey: $0 to $685K in 6 months - Issue 232
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How to Create Decks That Don’t Suck - Issue 245
Feb 12
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Olga Berezovsky
26
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How to Create Decks That Don’t Suck - Issue 245
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Refresher on Retention - Issue 236
Dec 11, 2024
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Olga Berezovsky
26
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Refresher on Retention - Issue 236
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The Battle You’ll Always Lose: Documentation - Issue 234
Nov 27, 2024
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Olga Berezovsky
26
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The Battle You’ll Always Lose: Documentation - Issue 234
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How To Set Up Analytics for Web and Mobile Products - Issue 259
Build analytics that scale with your product - a practical guide for product analysts
May 21
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Olga Berezovsky
12
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How To Set Up Analytics for Web and Mobile Products - Issue 259
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Refresher on A/B Testing - Issue 258
Stats, tools, and trusted resources for doing experimentation right
May 14
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Olga Berezovsky
10
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Refresher on A/B Testing - Issue 258
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From Analytics to Data Science: Building Forecasts - Issue 257
A step-by-step guide to ARIMA and Prophet to forecast events, transactions, and customer growth.
May 7
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Olga Berezovsky
16
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From Analytics to Data Science: Building Forecasts - Issue 257
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April Recap: Everyone’s Ready for AI. Except Your Data.
Reflections from data summits, industry shifts, and broken academia.
Apr 30
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Olga Berezovsky
13
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April Recap: Everyone’s Ready for AI. Except Your Data.
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1:23:06
The ultimate guide to A/B testing | Ronny Kohavi (Airbnb, Microsoft, Amazon)
Brought to you by Mixpanel—Event analytics that everyone can trust, use, and afford | Round—The private network built by tech leaders for tech leaders …
Published on Lenny's Newsletter
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Apr 23
How To Develop Analytical Intuition - Issue 254
Error-spotting and how to cross-check metrics when the data won’t match.
Apr 16
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Olga Berezovsky
24
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How To Develop Analytical Intuition - Issue 254
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Why Most Benchmarks Are Misleading - and What to Use Instead - Issue 253
What benchmarks to trust, where to find them, and how to use them.
Apr 9
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Olga Berezovsky
8
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Why Most Benchmarks Are Misleading - and What to Use Instead - Issue 253
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How To Differentiate Yourself in Analytics and Stand Out - Issue 252
Reforge founder Brian Balfour on going deep, earning influence, and avoiding the generalist trap
Apr 2
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Olga Berezovsky
19
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How To Differentiate Yourself in Analytics and Stand Out - Issue 252
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How To Pull Stories From Data and Make Them Actionable - Issue 251
Finding the Why: turning raw data into clear, actionable insights and stories
Mar 26
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Olga Berezovsky
25
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How To Pull Stories From Data and Make Them Actionable - Issue 251
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Data Analysis Journal
Where product, data science, and analytics intersect.
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Checklists
A/B Test Checklist
A short guide to product experimentation steps and must-know terminology.
SQL Date-Time Cheatsheet
A short guide to steps, solution, and must-know terminology
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A short guide to solutions and tips for handling DateTime cases in Python Pandas
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Tutorials
A Selection Of SQL Tutorials
A roundup of free SQL tutorials and articles to either get started with or to keep your querying skills strong.
A Selection Of Python Tutorials for Analysts
A roundup of my favorite tutorials for data analysts to either get started with or upkeep existing Python skills
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