SQL Programming for Data Analysis: Ultimate Guide

Are you interested in becoming a Data Analyst? Do you want to gain practical skills and solve real-world business problems using SQL? Then this is the perfect course for you! Created by a Senior Data Analyst with extensive experience in the Insurance and Health Care sectors, this course will equip you with foundational knowledge and help you master key SQL functions and techniques for data analysis.

I will guide you step-by-step into the world of SQL for data analysis. With every lecture and lab exercise, you will develop a comprehensive understanding of these concepts to tackle real data problems! This course is designed to be engaging and practical, with a logical flow through essential modules:

Module 1: Creating and Managing Databases
Learn how to create and drop databases, manage tables, load data into tables, and verify data integrity.

Module 2: SELECT Statements
Master basic SELECT queries, filter data with WHERE clauses, sort results with ORDER BY, and handle NULL values.

Module 3: Joins – INNER, LEFT/RIGHT, CROSS, etc.
Understand and apply different types of joins: INNER, LEFT, RIGHT and CROSS joins to combine data from multiple tables.

Module 4: Set Operators
Utilize set operators like UNION, UNION ALL, INTERSECT, and EXCEPT to combine results from multiple queries.

Module 5: Functions and Aggregations
Learn and apply aggregate functions SUM, AVG, COUNT, and perform grouping of data with GROUP BY and HAVING clauses.

Module 6: Subqueries
Write subqueries in SELECT, WHERE, and FROM clauses and use them for complex filtering.

Module 7: Common Table Expressions (CTEs)
Discover the power of CTEs, use them for recursion, and combine them with joins and subqueries.

Module 8: Grouping Sets and Pivot Tables
Implement grouping sets, create and use pivot tables, and apply advanced aggregation techniques.

Module 9: Modifying Data
Perform data modifications with SQL commands for inserting, updating, and deleting records

Module 10: Programming T-SQL
Write variables/parameters and stored procedures;

Module 11: Error Handling
Manage errors in SQL, debug and optimize queries, handle exceptions, and ensure data integrity.

Module 12: Capstone Projects

o Project 1: Airbnb Data Insights: Analyze listing availability, neighborhood popularity, and pricing variations.

o Project 2: E-Commerce Sales Analysis: Analyze sales data by province, compare monthly sales, and identify top products.

Each module contains independent content, allowing you to start from the beginning or jump into specific topics of interest. However, it is recommended to follow the course from Module 1 to Module 9 to fully prepare for the capstone project challenge.

This course is packed with real-world business problems solved during my career as a senior data analyst. You will not only learn theoretical concepts but also gain practical, hands-on experience. Enroll today and take the first step towards mastering data analysis using SQL.