Data analysis topics – iData Global

Data Analysis Knowledge Base

A structured knowledge base covering real-world data analysis methods across business, AI, and healthcare — demonstrated with SQL, AI, and applied analytics examples.

About Data Analysis knowledge Base

Data analysis is the practice of transforming raw data into actionable insights through structured methodologies, statistical reasoning, and analytical tools. This knowledge hub documents commonly used data analysis approaches applied in real business, healthcare, and applied AI scenarios.

What is Data Analysis?

Data analysis refers to the systematic process of collecting, cleaning, transforming, and analyzing data to answer business questions, support decision-making, and evaluate outcomes.

In practice, data analysis combines domain knowledge, analytical thinking, and tools such as SQL, programming languages, and statistical models to extract meaningful insights from structured and unstructured data.

Core Data Analysis Topics Covered

Applied analytics focuses on using data analysis methodologies to solve practical problems across different industries and functional areas.

Why Data Analysis Matters?

In real-world environments, data analysis plays a central role in:
Understanding user and customer behavior
Evaluating marketing and operational performance
Managing risk and uncertainty
Supporting evidence-based decision-making
Improving efficiency and outcomes across industries
Whether in business operations, digital marketing, financial risk management, or healthcare analytics, structured data analysis enables organizations to move from intuition-driven decisions to data-informed strategies.

More Resources

Course Slides

Well-structured course slides that summarize key concepts, analytical frameworks, and problem-solving approaches covered in each SQL analytics use case.

Lecture Notes

Concise lecture notes explaining the analytical logic, business context, and reasoning behind each SQL example, helping you connect queries with real-world decisions.

Data Files

Realistic datasets used in demonstrations, allowing you to follow along, practice queries, and explore the data analysis process hands-on.

This page serves as the central reference for our data analysis knowledge base. Individual examples and demonstrations are organized under each domain to illustrate how these methodologies are applied in practice.