Data Quality & Analytics Engineering

Feature Engineering Mastery

Feature Selection Theory

Data Normalization Techniques: Z-Score and Min-Max Scaling

Synchronized Data Permutation

Dataset Batch Generator for Training Pipelines

Dataset quality checks reject values on valid limits

Include the configured data-quality endpoints

Join Concepts

Mastering Inner Joins in SQL

SQL Aggregate Functions: Summarizing Data with Precision

GROUP BY: Categorizing and Summarizing Data

Adjacent Free Seat Finder

Binary Hierarchy Node Role Tagging

Double Round-Robin League Fixtures

Employee Identity Bridge Report

Accounts Above Net Balance Threshold

Ad Campaign Click-Through Rate Ranking

Artist Presence Frequency on Streaming Chart

Average Process Duration by Machine

Bike Fleet Last Usage Timestamp

Buyer Yearly Order Volume Report

Calendar Date Long-Format Renderer

Country November Climate Banding

Implement grouped research-window reporting with Spark

Aggregate event counts and subject diversity in separate columns

Late research corrections resurrect measurements and cross tenant boundaries

Move period filtering after revisions but keep a global event-ID partition

ML System Design

Debugging ML Models

One bad dataset row consumes several quality allowances

Count bad dataset rows once

Published datasets differ from the snapshot that passed review

Publish the rows captured by the quality run

Design a Machine Learning Feature Store