Data Analytics, SQL and Data Science Learning Resources

Compare data science and data analytics by the questions they answer, the tools they use, their projects and the best entry point for beginners.

A practical SQL guide covering relational thinking, filtering, joins, aggregation, window functions, data quality and a portfolio-ready query project.

Build a credible data portfolio project with a decision-focused question, validated data, reproducible analysis, honest evaluation and clear communication.

Compare SQL and NoSQL databases through structure, relationships, transactions, scale, query patterns and beginner project decisions.

Compare data engineering and data science by daily work, tools, project evidence, prerequisites and the kind of problems each field solves.

Build a data analytics foundation through spreadsheets, SQL, metrics, visualisation, stakeholder thinking and a decision-focused portfolio project.

A beginner guide to data analytics covering question framing, data quality, SQL, metrics, visualisation, recommendations and portfolio evidence.

Create a SQL portfolio project with a relational model, clean data, realistic questions, validated joins, analytical queries and performance evidence.

Learn what data analysts do, which skills matter, how to build decision-focused portfolio evidence and how to organise a practical 90-day starting plan.

Understand data scientist salary in India through a dated market snapshot, role scope, pay drivers, portfolio evidence and a practical learning roadmap—without treating an average as a promise.

Understand data analyst salary in India through a dated market snapshot, role scope, pay drivers, portfolio evidence and a practical learning roadmap—without treating an average as a promise.