Introduction and must-know statistical concepts for data analysis and data science
Using machine learning to solve common challenges in product and data analytics. How to figure out which model to use for which business case.
How to get the frequency of usage and create a user activity histogram for user engagement analysis in SQL.
How to get the most popular features, products, or user activity in SQL
A practical guide on how to locate and measure a tricky product persona of adjacent users in SQL, and challenges of getting such analysis in product…
An analysis to find the right threshold of the most impactful frequency of user communication
How to read and run correlation plots in Python Pandas
A case study challenge breakdown for a senior data scientist position at one of the biggest Bay Area companies completed in Python
My favorite blogs and newsletters to read about data and product analysis, data science, and data engineering.
Monitoring and reporting of SaaS health. Challenges and caveats.
A quick lookup one-pager for common DATE functions in SQL
Methods and logic for getting retention for different business types. How to read and visualize cohorted retention.