Data Science Educational Resources
StrataScratch is a data science educational platform with over 1,000+ real interview questions from your favorite companies.

Exploring NumPy where() in Python for Conditional Operations
Master NumPy where() for smarter data filtering, conditional replacements, and interview-ready logic with clean, efficient Python code.
Nathan Rosidi -

How to Implement Delays Using Python WAIT Function
A Complete Guide to Implementing Waits in Python Using Sleep, Asyncio, Threading, and Subprocesses
Nathan Rosidi -

Implementing a Logit Model in R Effectively
How to build and interpret a logit model in R to predict customer churn: data preparation, modeling, and evaluation
Nathan Rosidi -

Case Statement in Python: Best Practices and Alternatives
Mastering case statement in Python with best practices, alternatives, and real-life applications
Nathan Rosidi -

How to Effectively Use the PySpark 'isin' Function
PySpark isin explained with filtering examples using lists, variables, combined columns, and a real interview-style case study
Nathan Rosidi -

Creating R Programming Histogram for Data Visualization
Step-by-step guide to creating, customizing, and interpreting R programming histograms using real student performance data
Nathan Rosidi -

How to Perform Exploratory Data Analysis in Python (With Example)
Step-by-step Exploratory Data Analysis in Python: From summarizing and visualizing to cleaning and preparing data for modeling.
Nathan Rosidi -

How to Define and Use Static Methods in Python
A practical guide to defining and applying static methods in Python using Walmart’s Black Friday dataset to segment customer spending.
Nathan Rosidi -

The Biggest Lie in Data Science: 'You Need to Build an App'
Most data scientists don’t need to build web apps. But if you must, this no-BS guide breaks down which frameworks actually make sense (and which don't).
Nathan Rosidi -

Learn PySpark Joins Easily with This Guide
Master Inner, Left, and Complex Joins in PySpark with Real Interview Questions
Nathan Rosidi -

Unsupervised Clustering: Methods, Examples, and When to Use
A practical guide to Unsupervised Clustering techniques, their use cases, and how to evaluate clustering performance.
Nathan Rosidi -

A Guide to Master Machine Learning Modeling from Scratch
Machine learning modeling is intimidating for beginners. With this article, we’ll make it less complicated and guide you through essential modeling techniques.
Nathan Rosidi -