Duration: 5 days – 35 hrs.
Overview.
This Data Analytics course provides a comprehensive introduction to data analytics using SQL Server and Power BI. You will learn how to extract, transform, and load (ETL) data using SQL Server, create compelling visualizations with Power BI, and gain valuable insights from data to drive informed decision-making. Through hands-on exercises and a final project, you will apply your skills to real-world scenarios and emerge ready to excel in data analytics roles.
Objectives
- Gain proficiency in SQL Server for data extraction, manipulation, and analysis.
- Learn to perform ETL tasks using SQL Server Integration Services (SSIS).
- Master the creation of interactive reports and dashboards with Power BI.
- Develop advanced data modeling and calculation skills using DAX.
- Understand best practices for data visualization and reporting.
- Apply data analytics skills to real-world projects.
- Prepare for roles in data analysis, business intelligence, and reporting.
Audience
- Data analysts and business analysts
- Database administrators
- IT professionals
- Anyone interested in data analytics and visualization
Pre- requisites
- Basic understanding of data and databases.
- Familiarity with Microsoft Windows operating system.
- Access to a computer with SQL Server and Power BI Desktop installed (trial versions can be used).
- Basic knowledge of Microsoft Excel is helpful but not mandatory.
Course Content
Topic 1: Introduction to Data Analytics
- Understanding the role of data analytics
- Overview of SQL Server and Power BI
- Setting up your development environment
Topic 2-3: SQL Server Fundamentals
- Introduction to SQL Server
- Writing SQL queries to extract data
- Data manipulation with SQL
- Working with joins and subqueries
Topic 4-5: Data Transformation and ETL
- Introduction to ETL (Extract, Transform, Load)
- Data extraction from multiple sources
- Data transformation and cleaning using SQL Server Integration Services (SSIS)
- Automating ETL processes
Topic 6-7: Data Visualization with Power BI
- Introduction to Power BI
- Importing and transforming data in Power BI
- Creating visualizations and charts
- Building interactive reports and dashboards
Topic 8-9: Advanced Power BI Techniques
- Advanced data modeling in Power BI
- Working with DAX (Data Analysis Expressions) for calculations
- Power BI best practices
- Sharing and collaboration with Power BI Service
Topic 10: Final Project and Wrap-Up
- Work on a real-world data analytics project using SQL Server and Power BI
- Presentation and demonstration of your project
- Review of key concepts and skills learned
- Course completion certificates and Q&A session
