Lessons:

1. What is SQL?
2. Types of Databases
3. Setting Up a Database
4. Understanding Tables and Records

Learning Objectives:
By the end of this module, students will understand what SQL is, different types of databases, how to set up a database, and the basics of tables and records.

Real-World Applications:
Apply SQL to create, manage, and retrieve data from databases.

Activities:

• Create a simple database
• Insert data into a table

Lessons:

1. SELECT Statement
2. WHERE Clause
3. Sorting Data
4. Filtering Data

Learning Objectives:
After this module, students will be able to write basic SQL queries using the SELECT statement, filter data using the WHERE clause, and sort data effectively.

Real-World Applications:
Retrieve specific data from a database for analysis or reporting.

Activities:

• Write SQL queries to retrieve specific data
• Sort and filter data

Lessons:

1. INSERT, UPDATE, and DELETE Statements
2. Modifying Records
3. Data Validation
4. Transactions and Rollbacks

Learning Objectives:
By the end of this module, students will understand how to insert, update, and delete data in a database, validate data, and manage transactions effectively.

Real-World Applications:
Modify and validate data in databases while maintaining data integrity.

Activities:

• Insert, update, and delete records in a database
• Perform data validation

Lessons:

1. JOIN Operations
2. Aggregating Data
3. Subqueries and Nested Queries
4. Indexing and Performance Optimization

Learning Objectives:
After this module, students will be able to perform JOIN operations, aggregate data using SQL functions, work with subqueries, and optimize database performance.

Real-World Applications:
Query and analyze data from multiple tables, aggregate data for reporting, and optimize database operations.

Activities:

• Perform JOIN operations on multiple tables
• Write subqueries and nested queries
• Optimize query performance with indexing

Lessons:

1. What is SSIS?
2. ETL Fundamentals
3. Setting Up SSIS Environment
4. Understanding Data Sources and Destinations

Learning Objectives:
By the end of this module, students will understand what SSIS is, the fundamentals of ETL, set up the SSIS development environment, and grasp data sources and destinations.

Real-World Applications:
Apply SSIS to design and automate data workflows, perform data integration, and load data into various destinations.

Activities:

• Set up a simple SSIS project
• Define data sources and destinations

Lessons:

1. Control Flow
2. Data Flow
3. Variables and Parameters
4. Error Handling

Learning Objectives:
After this module, students will be able to design SSIS packages, understand control flow and data flow, work with variables and parameters, and implement error handling.

Real-World Applications:
Create SSIS packages for various data integration and transformation tasks.

Activities:

• Create a simple SSIS package
• Define control flow and data flow tasks
• Implement error handling in SSIS

Lessons:

1. Data Cleansing and Validation
2. Data Conversion and Manipulation
3. Handling NULL Values
4. Advanced Transformations

Learning Objectives:
By the end of this module, students will be proficient in data cleansing, validation, conversion, manipulation, and advanced transformations using SSIS.

Real-World Applications:
Perform complex data transformations and prepare data for reporting and analytics.

Activities:

• Cleanse and validate data
• Perform data conversion and manipulation
• Handle NULL values and perform advanced data transformations

Lessons:

1. Deployment Options
2. Package Execution and Scheduling
3. Troubleshooting and Debugging
4. Performance Optimization

Learning Objectives:
After this module, students will be familiar with deployment options for SSIS packages, executing and scheduling packages, troubleshooting and debugging, and optimizing package performance.

Real-World Applications:
Deploy, manage, and monitor SSIS packages in production environments.

Activities:

• Deploy an SSIS package
• Schedule package execution
• Troubleshoot and debug package issues
• Optimize package performance

Lessons:

1. What is Power BI?
2. The Importance of Data Visualization
3. Setting Up Power BI
4. The Power BI Interface

Learning Objectives:
By the end of this module, students will understand what Power BI is, why data visualization is crucial, set up Power BI, and navigate the Power BI interface.

Real-World Applications:
Apply Power BI to create interactive reports and dashboards for data analysis.

Activities:

• Set up a Power BI workspace
• Explore the Power BI interface

Lessons:

1. Connecting to Data Sources
2. Data Transformation and Cleaning
3. Creating Data Models
4. Relationships in Power BI

Learning Objectives:
After this module, students will be proficient in connecting to data sources, transforming and cleaning data, creating data models, and establishing relationships between data tables.

Real-World Applications:
Prepare data for visualization by cleansing and modeling it effectively.

Activities:

• Connect to a data source
• Transform and clean data
• Create data models and establish relationships

Lessons:

1. Types of Visualizations
2. Design Principles for Effective Visualizations
3. Building Charts and Graphs
4. Customizing Visualizations

Learning Objectives:
By the end of this module, students will be proficient in creating various types of data visualizations, understanding design principles, building charts and graphs, and customizing visualizations in Power BI.

Real-World Applications:
Create compelling visualizations for data analysis and reporting.

Activities:

• Create different types of charts and graphs
• Apply design principles to enhance visualizations
• Customize visualizations to meet specific requirements

Lessons:

1. Creating Reports
2. Dashboard Design and Layout
3. Interactivity with Slicers and Filters
4. Sharing and Publishing Reports

Learning Objectives:
After this module, students will be proficient in creating interactive reports, designing effective dashboards, implementing interactivity using slicers and filters, and sharing and publishing reports in Power BI.

Real-World Applications:
Design interactive reports and dashboards for data consumption and decision-making.

Activities:

• Create reports with multiple visualizations
• Design and layout interactive dashboards
• Implement slicers and filters for interactivity
• Share and publish reports for collaboration

Lessons:

1. What is Tableau?
2. The Role of Data Visualization
3. Setting Up Tableau Desktop
4. Navigating the Tableau Interface

Learning Objectives:
By the end of this module, students will understand what Tableau is, recognize the significance of data visualization, set up Tableau Desktop, and become familiar with the Tableau interface.

Real-World Applications:
Apply Tableau for creating interactive reports, dashboards, and visualizations.

Activities:

• Set up Tableau Desktop
• Explore the Tableau interface

Lessons:

1. Connecting to Data Sources
2. Data Cleaning and Transformation
3. Data Blending and Aggregation
4. Data Source Management

Learning Objectives:
After this module, students will be able to connect to data sources, clean and transform data, blend data from multiple sources, and manage data sources effectively in Tableau.

Real-World Applications:
Prepare and manage data for visualizations and reports.

Activities:

• Connect to data sources
• Clean and transform data
• Blend data from multiple sources
• Manage data sources

Lessons:

1. Creating Visualizations
2. Design Principles for Effective Dashboards
3. Building Charts and Graphs
4. Customizing Visualizations

Learning Objectives:
By the end of this module, students will be proficient in creating various types of data visualizations, understanding design principles, building charts and graphs, and customizing visualizations in Tableau.

Real-World Applications:
Create dynamic visualizations and dashboards for data analysis and storytelling.

Activities:

• Create different types of charts and graphs
• Apply design principles to enhance dashboards
• Customize visualizations to meet specific requirements

Lessons:

1. Building Interactive Reports
2. Dashboard Interactivity
3. Storytelling with Data
4. Sharing and Collaborating on Tableau Workbooks

Learning Objectives:
After this module, students will be proficient in creating interactive reports, designing dashboards with interactivity, storytelling with data, and sharing and collaborating on Tableau workbooks.

Real-World Applications:
Design interactive reports and dashboards for data consumption and decision-making.

Activities:

• Create interactive reports with multiple visualizations
• Design and layout interactive dashboards
• Implement storytelling techniques with data
• Share and collaborate on Tableau workbooks