I. Introduction to Databases and SQL
1. Understanding Databases
What is a database?
Types of databases(Relational, NoSQL, etc.)
Database Management Systems (DBMS)
2. Introduction to SQL
What is SQL?
SQL as a language for relational databases
Importance and applicationsof SQL
3. MySQL Installation and Setup
Installing MySQL server andclient
Configuring MySQL server
MySQL command-line client and GUI tools
I. Introduction to Power BI
1. Understanding Business Intelligence (BI) and its importance
What is BI and why is it crucial for organizations?
The BI process (data collection, data modeling, data visualization, and sharing insights)
2. Overview of Power BI and its components
Power BI Desktop, Power BI Service, and Power BI Mobile
Power BI architecture and ecosystem
3. Setting up Power BI Desktop and licensing
II. SQL Basics
1. SQL Syntax and Structure
SQL statements and clauses
SQL keywords and identifiers
Comments and indentation
2. Creating and Managing Databases
Creating a new database
Dropping (deleting) a database
Accessing and using databases
3. Data Types
Numeric data types (INT, FLOAT, DECIMAL, etc.)
Character data types (CHAR, VARCHAR, TEXT, etc.)
Date and Time data types (DATE, TIME, DATETIME, etc.)
Other data types (BOOLEAN, ENUM, etc.)
II. Data Sources and Connections
1. Importing data from various sources
Excel workbooks (Excel files, CSV, Text files)
Databases (SQL Server, Oracle, MySQL, PostgreSQL, etc.)
Web sources (Web APIs, JSON, XML, etc.)
1. Creating Tables
Defining table structure (columns and data types)
Primary keys and unique constraints
Default values and autoincrement
2. Altering Tables
Adding, modifying, and dropping columns
Changing column data types and constraints
3. Dropping Tables
Deleting tables from the database
III. Data Transformation and Power Query Editor
1. Introduction to Power Query Editor
2. Applying transformations to data
Removing duplicates, handling null values
Data formatting (splitting, merging, changing data types, etc.)
Creating custom columns and measures
3. Advanced transformations
Unpivoting and pivoting data
Merging and appending queries
Working with functions and parameterized queries
4. Optimizing queries and performance tuning
IV. Data Manipulation
1. Inserting Data
INSERT INTO statement
Inserting single and multiple rows
2. Updating Data
UPDATE statement
Updating single and multiple rows
Updating with conditions and joins
3. Deleting Data
DELETE statement
Deleting single and multiple rows
Deleting with conditions and joins
Truncating tables
IV. Data Modeling
1. Understanding star schema and dimensional modeling
2. Creating relationships between tables
Cardinality (one-to-one, oneto-many, many-to-many)
Cross-filter direction and relationship behavior
3. Working with calculated columns and measures
Introduction to Data Analysis Expressions (DAX)
Basic DAX functions (SUM, COUNT, AVERAGE, etc.)
Calculated columns vs. measures
4. Implementing time intelligence
Working with date and time functions
Creating date hierarchies and calendar tables
5. Optimizing data models and performance tuning
V. Querying Data
1. SELECT Statement
Selecting columns and expressions
Aliases for columns and tables
Filtering data with WHERE clause
2. Sorting and Limiting Results
ORDER BY clause (ascending and descending order)
LIMIT and OFFSET clauses
3. Aggregate Functions
COUNT, SUM, AVG, MIN, MAX
GROUP BY clause and grouping data
HAVING clause for filtering groups
4. Joining Tables
Inner joins (INNER JOIN, JOIN)
Outer joins (LEFT JOIN, RIGHT JOIN, FULL OUTER JOIN)
Cross joins (CROSS JOIN)
Self-joins
5. Subqueries and Derived Tables
Subqueries in SELECT, FROM, WHERE, and other clauses
Derived tables and common table expressions (CTEs)
6. Union and Intersection Operations
UNION and UNION ALL
INTERSECT and EXCEPT/MINUS
V. Data Visualization
1. Understanding different chart types and when to use them
Column, bar, line, area, pie, scatter, and more
Matrix, table, and card visualizations
Maps and geographic visualizations
2. Creating and customizing visualizations
Formatting options (colors, axes, labels, etc.)
Adding interactions and filters
Applying conditional formatting and data bars
3. Creating and customizing reports
Page layout and design
Adding bookmarks, buttons, and navigation
Applying report themes and branding
4. Creating dashboards
Configuring dashboard layout and design
Adding interactive elements (slicers, filters, etc.)
VI. Projects and Case Studies
1. Hands-on projects covering various domains
E-commerce database (products, orders, customers, etc.)
Human resources database (employees, departments, salaries, etc.)
Banking and finance database (accounts, transactions, loans, etc.)
Social media database (users, posts, comments, likes, etc.)
VI. Projects and Case Studies
1. Hands-on projects and case studies covering various business scenarios
Financial reporting and analysis
Operations and supply chain analytics
Human resources and workforce analytics
2. Building end-to-end Power BI solutions
Creating reports, dashboards, and interactive visualizations
Publishing and sharing insights
3. Presenting and communicating insights effectively