SQL for dfata Analysts

Discover techniques for cleaning and transforming data using SQL, such as handling missing values and formatting data.

Data Cleaning and Transformation

This topic covers the basics of SQL, including its history, syntax, and common uses in data analysis.

Learn how to write SELECT statements to retrieve data from databases, filter results, and sort data.

Understand different types of joins, such as inner joins, outer joins, and self-joins, to combine data from multiple tables.

Explore how to use subqueries to create complex queries, perform calculations, and derive insights from data.

Learn about aggregate functions like SUM, AVG, COUNT, MIN, and MAX to summarize data and calculate metrics.

Dive into INSERT, UPDATE, and DELETE statements to modify data in tables and maintain data integrity.

Explore advanced functions like window functions, recursive queries, and pivot tables for more complex data analysis tasks.

Understand how indexes can improve query performance and learn strategies for optimizing SQL queries.