Celebrating 200th Newsletter 🎉

Celebrating 200 newsletters: by sharing my most popular publications, gratitude, and wild blasts of confetti.

This week marks the 200th newsletter since I started writing my Data Analysis Journal 🎉🎉🎉. 

Over the last 3 years, I have published over 200 publications, including deep dives, interviews, roundups, checklists, code snippets, and more, with every story centered around analytics.

I want to thank all of you who are here, who read my newsletters, have been a paid subscriber, or have just shared a post with a colleague - thank you ❤️🥹. Thank you for supporting me in my writing, for loving data and analytics, and for joining me on this journey.

Thank you to the 77 publications that recommend my newsletter! 🤯 I haven’t met many of you and haven’t even had a chance to read some of your blogs, but thank you for trusting me.

Today, I’m honored to have tens of thousands of readers around the world, all with different levels of knowledge and experience, ranging from founders, VCs, and experts to beginners, including people transitioning into data across all industries. 

Analytics is a challenging field that is still emerging and always transforming. Navigating it is tough and exciting. It feels amazing to be connected with thousands of analysts all over the world.

📊 About This Journal

If you’ve recently subscribed, here is a recap of how this newsletter started, its growth, and why I write about analytics.

A reminder: all content is written by me and reflects my perspective as an analyst on a problem, tool, solution, or trend. 

There are no paid promotions and no sponsorships. Despite many requests to advertise and promote products or services, I’ve decided not to launch sponsorships. I value the trust of my audience and want to keep my unique perspective on the tools and solutions shared here. You might see occasional “Try It Out” chapters where I share an application, but these are not sponsored in any way except that I liked it and would like to recommend it personally. 

⭐ Top 25 my most popular publications

1. Introduction To Event-Based Analytics

2. Anticipating 2024: Top Trends in Analytics

3. Growth, Loops, And Some Hard Truths - A Recap Of Amplitude Cohort 2022

4. The Biggest Data Science And Analytics Conferences In 2024

5. How To Do a Root Cause Analysis

6. The Ultimate Guide To Product Features Analysis

7. Applying ML in Product Analytics

8. What Statistics Are Used In Data Analysis?

9. How To Locate The Right Frequency Of Push Notifications

10. Inside Product Analytics: Decoding User Behavior

11. A Deep Dive into Onboarding Flow Redesign Analysis

12. User Segmentation and Power User Analysis in SQL

13. Ditch Tableau For God’s Sake. It’s 2021

14. How To Measure Data Quality

15. SaaS Metrics Reporting: A Peek Behind The Curtain

16. Your Favorite BI Tool

17. The Ultimate Guide On Churn Reporting (And Its Technicalities)

18. A Selection Of SQL Tutorials

19. The Frequency Of User Activity: SQL and Analysis

20. How To Pass A SQL Interview For A Data Scientist Position

21. Top 10 Advanced SQL Functions For Data Analysis

22. Build or Buy: How We Developed A Platform For A/B Tests

23. How Strava Accelerated User Engagement

24. A/B Test Checklist

25. Why You Shouldn’t Stop A/B Tests Early

Credit to Substack and Misti Layne

I hope this newsletter can help its readers find a path for professional growth, point them to the right sources and documentation, and inspire them to learn and love analytics.

Thanks for reading, everyone. Until next Wednesday!