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Outliers: To Drop or Not to Drop? - Issue 196
From Analytics to ML: How to detect outliers and what to do with them.
 • 
Olga Berezovsky

March 2024

Data Portfolio Done In Notebook - Issue 191
How to use notebooks as your portfolio to showcase your skills, and why notebooks are great for analytics.
 • 
Olga Berezovsky

February 2024

How To Measure Data Quality - Issue 185
Does data quality have ROI? Ways to measure and quantify data governance metrics
 • 
Olga Berezovsky
2

November 2023

When To Use Mean Or Median - Issue 171
Working with descriptive statistics: how to know when to use Mean or Median in your reporting
 • 
Olga Berezovsky

October 2023

Applying Statistics In Product Analytics - Issue 165
Distributions 101: Introduction to statistical distributions, their types, use cases, and examples
 • 
Olga Berezovsky

August 2023

Statistics 101: When Simple Becomes Tricky - Issue 157
How not to get trapped in descriptive statistics during data science interviews
 • 
Olga Berezovsky

July 2023

An Introduction To Feature Engineering - Issue 152
Elevate your analysis and improve modeling with feature engineering.
 • 
Olga Berezovsky

June 2023

How To Prove Causation - Issue 148
Using causal inference and regression analysis for informed decision-making
 • 
Olga Berezovsky
Decoding Regression Scores - Issue 147
How to read linear regression plots and understand the equation that drives analysis and predictions
 • 
Olga Berezovsky

February 2023

January 2023

What Statistics Are Used In Data Analysis? - Issue 126
Introduction and must-know statistical concepts for data analysis and data science
 • 
Olga Berezovsky

August 2022

Behold! How You Can Handle Missing Data - Issue 108
A recap on the proper ways to handle the missing data in your modeling or analysis
 • 
Olga Berezovsky
© 2024 Olga Berezovsky
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