Data Science Educational Resources
StrataScratch is a data science educational platform with over 1,000+ real interview questions from your favorite companies.
Guides
Easy Guide to Python Hashmaps
What are Python hashmaps, what are the basic operations and advanced techniques, and how to use them in practice? We answer all that and more in this article.
Nathan Rosidi -
Mastering Row Number Handling in SQL Queries
ROW_NUMBER() is one of the essential ranking window functions in SQL. Learn where you can use it and how it works with ORDER BY and PARTITION BY window clauses.Nathan Rosidi -
Dating Your Data Science Team: Red & Green Flags to Watch For
How do you find a perfect data team for yourself? What to look for and what to avoid in your search? Heed these red and green flags to keep you on the right track.Nathan Rosidi -
Top 5 Challenges Data Scientists Face Today
What are the challenges data scientists encounter today? The five covered in this article are the biggest ones that also make the job more interesting.Nathan Rosidi -
Finding Maximum Values in SQL: Aggregation Techniques
MAX() in SQL is a straightforward aggregation method for finding maximum values. Learn here about its syntax and use cases through real interview examples.Nathan Rosidi -
Advanced Data Structure Types
Advanced data structures like trees, heaps, and hash tables keep data organized, enabling fast searches, and optimize systems for handling large datasets.Nathan Rosidi -
What Is the Purpose of __init__ in Python?
The __init__ method in Python initializes an object's attributes at creation, setting up each instance with specific values to keep code organized and scalable.Nathan Rosidi -
CONCAT() in SQL: Tips and Techniques for Efficient Queries
CONCAT() in SQL is a data concatenation method. Learn about the tips, techniques, and practical examples of how to use it efficiently in SQL queries.Nathan Rosidi -
Impress Recruiters With These Data Science Projects
Getting a data science job depends on impressing recruiters, which depends on your data projects. Learn with which projects you can achieve that and how.Nathan Rosidi -
How Does Active Learning Machine Learning Work?
How active learning boosts machine learning by reducing labeling costs and improving accuracy, focusing on the most uncertain data points.Nathan Rosidi -
How to Replace a Character in a Python String
There are several ways to replace a character in a Python string. In this article, you’ll learn three main techniques and how to use them in practice.Nathan Rosidi -
Mastering Loop Iterations: Python For Loop Index Explained
Use Python's for loop index to manage data efficiently, improve performance, and ensure smoother processing, especially with large datasets or complex tasks.Nathan Rosidi -