Module #1 Introduction to SQL and Business Intelligence Overview of SQL, Business Intelligence, and their roles in data analysis
Module #2 Setting up a Database Environment Installing and configuring a database management system, creating a database, and understanding database design principles
Module #3 SQL Fundamentals Basic SQL syntax, data types, and operators
Module #4 Retrieving Data with SELECT Using the SELECT statement to retrieve data from a database
Module #5 Filtering Data with WHERE Using the WHERE clause to filter data based on conditions
Module #6 Sorting and Grouping Data Using the ORDER BY and GROUP BY clauses to sort and group data
Module #7 Joining Tables Using INNER JOIN, LEFT JOIN, RIGHT JOIN, and FULL OUTER JOIN to combine data from multiple tables
Module #8 Subqueries and Derived Tables Using subqueries and derived tables to perform complex data analysis
Module #9 Aggregate Functions Using SUM, AVG, MAX, MIN, and other aggregate functions to perform data analysis
Module #10 Business Intelligence Use Cases Real-world examples of how SQL is used in Business Intelligence
Module #11 Data Visualization with SQL Using SQL to generate data for visualization tools like Tableau, Power BI, and D3.js
Module #12 Working with Dates and Times Using date and time functions to perform calculations and analysis
Module #13 Working with Strings Using string functions to perform text manipulation and analysis
Module #14 Working with Numeric Data Using numeric functions to perform mathematical calculations and analysis
Module #15 Optimizing SQL Queries Techniques for improving the performance of SQL queries
Module #16 Data Modeling for Business Intelligence Designing data models for Business Intelligence applications
Module #17 ETL (Extract, Transform, Load) with SQL Using SQL to extract, transform, and load data for Business Intelligence applications
Module #18 Data Warehousing with SQL Designing and building data warehouses using SQL
Module #19 Business Intelligence Tools and Technologies Overview of popular Business Intelligence tools and technologies, such as OLAP, Oracle, and Microsoft SQL Server
Module #20 Advanced SQL Topics Window functions, Common Table Expressions (CTEs), and other advanced SQL topics
Module #21 SQL for Big Data Using SQL with big data technologies like Hadoop, Spark, and NoSQL databases
Module #22 SQL for Cloud Computing Using SQL with cloud-based databases and data warehouses, such as Amazon Redshift and Google BigQuery
Module #23 SQL for Machine Learning Using SQL to prepare data for machine learning models and to perform data analysis
Module #24 Best Practices for SQL Development Guidelines for writing efficient, readable, and maintainable SQL code
Module #25 Course Wrap-Up & Conclusion Planning next steps in SQL for Business Intelligence career
