Data Science Educational Resources
StrataScratch is a data science educational platform with over 1,000+ real interview questions from your favorite companies.
Guides
What are the Fundamentals of Data Engineering?
Knowing the fundamentals of data engineering is essential for all newcomers to the field. This article is your springboard for further learning about data engineering.
Nathan Rosidi -
The Fundamentals of Structuring Data
Mastering data structuring is key to efficiently organizing, accessing and make sense of the vast amounts of data we interact with on a daily basis.Nathan Rosidi -
How Do You Perform SQL LIKE Queries for Pattern Matching?
The LIKE SQL query allows you to perform a pattern-matching search of your text data. Learn how to use it and add wildcards for increased flexibility.Nathan Rosidi -
What is Big O Notation? (+ Cheat Sheet)
Big O Notation helps developers predict how an algorithm's performance scales with input size, guiding them to choose the most efficient solution.Nathan Rosidi -
Must-Have Tools for Every Stage of Data Analysis
What tools do data analysts need? We’ll cover each data analysis stage and give you top tools to work with.Nathan Rosidi -
What is NLP in Machine Learning?
Explore the wonders of NLP, from sassy chatbots to AI doctors, and discover how this technology is revolutionizing human-computer interactions.Nathan Rosidi -
Utilizing DENSE_RANK for Data Deduplication in SQL
Data deduplication in SQL can be done in several ways. Using DENSE_RANK() is one. Today, we’ll talk about using this function to improve your data’s quality.Nathan Rosidi -
How to Determine Python String Length?
Discover the simple yet powerful tools Python offers to measure string length effortlessly, enhancing your coding efficiency and data manipulation skills.Nathan Rosidi -
From Arrays to Lists: Converting Numpy Arrays with Python
Learn the essential methods for converting NumPy arrays to Python lists, enhancing your data handling skills in Python with practical examples and applications.Nathan Rosidi -
Tips for Crafting an Impressive Data Analyst Portfolio
Having a project portfolio is an industry standard for data analysts. Making it impressive is not easy, but we’ll provide plenty of tips to make it easier.Nathan Rosidi -
PySpark GroupBy Guide: Super Simple Way to Group Data
Master efficient data grouping techniques with PySpark GroupBy for optimized data analysis.Nathan Rosidi -
Tools for the Full-Stack Data Scientist
What tools does a full-stack data scientist need? In the article, we answer this question by discussing six types of tools you should have in your toolkit.Nathan Rosidi -