SQL for Business Intelligence
( 25 Modules )

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

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SQL for Business Intelligence ( 25 Modules )

SQL for Business Intelligence
( 25 Modules )