📊 Tech — Data
Data Engineering & Analytics Notes
In-depth notes on data engineering, SQL, Python for data science, ETL pipelines, machine learning fundamentals, and business intelligence tools.
Data Notes
Browse available notes across data engineering and analytics topics.
SQL for Data Analysis
Advanced SQL: window functions, CTEs, aggregations, subqueries, and performance tuning for analysts.
Python for Data Science
NumPy, Pandas, Matplotlib, data cleaning, EDA, and working with real datasets in Python.
Data Engineering Fundamentals
Data pipelines, ETL vs ELT, data warehouses, data lakes, batch vs streaming, and orchestration.
Machine Learning Fundamentals
Supervised & unsupervised learning, regression, classification, evaluation metrics, and model validation.
Power BI — Complete Guide
Data modelling, DAX formulas, report building, dashboards, and publishing in Power BI Service.
Apache Spark — Basics
RDDs, DataFrames, Spark SQL, transformations & actions, and PySpark for big data processing.
Need specific data notes?
Request any data engineering or analytics topic and we'll publish in 1–2 business days.