Course Description: This workshop training is designed for individuals who want to acquire essential skills in data visualization and business intelligence using Microsoft Power BI. Participants will learn how to import, transform, clean, analyze, and visualize data to make informed business decisions.

Course Duration: 2 weeks

Prerequisites:

• Basic computer skills
• Familiarity with Microsoft Office applications
• Has Zoom video conferencing tool
• Willing to learn business analytics

Course Objectives

At the end of the workshop training participants will be able to:

• Connect data to the software.
• Transform and clean data to create a data model.
• Create visuals, such as charts or graphs that provide visual representations of the data.
• Create reports that are collections of visuals on one or more report pages.
• Share reports with others by using the Power BI service.

Course Outline:

Session 1: Introduction to Power BI

• Understanding the role of Power BI in data analytics and visualization
• Exploring the Power BI ecosystem and its key components
• Installing and setting up Power BI Desktop and Power BI Service
• Navigating the Power BI interface and getting familiar with its features
• Importing data from various sources into Power BI

Session 2: Data Transformation and Modeling in Power BI

• Using Power Query Editor for data transformation and cleaning
• Applying data filtering, splitting, merging, and formatting operations
• Handling missing data and data quality issues
• Combining multiple data sources using relationships

Session 3: Data Visualization and Dashboard Creation in Power BI

• Design principles for effective Power BI dashboards
• Building a comprehensive dashboard in Power BI
• Understanding data visualization principles and best practices
• Creating interactive charts, graphs, and tables
• Formatting and customizing visual elements
• Using slicers and filters for interactive data exploration
• Enhancing visualizations with conditional formatting and drill-through actions

Session 4: Introduction to DAX (Data Analysis Expressions)

• Understanding the basics of DAX and its role in Power BI
• Creating calculated columns and measures using DAX functions
• Aggregating and summarizing data with DAX
• Working with time intelligence functions
• Solving common business problems with DAX expressions

Session 5: Business Decision-Making and Presentation

• Interpreting analytics results for business insights
• Communicating findings effectively to stakeholders
• Case studies and real-world applications of Excel and Power BI in business analytics

Workshop Packages: Microsoft Power BI, Reading Materials, Session videos, after training services, before training services

Course Description: This course provides a comprehensive introduction to data analysis and business analytics using Microsoft Excel and Power BI. Students will learn how to manipulate, visualize, and analyze data to make informed business decisions.

Course Duration: 2 weeks

Prerequisites:

• Basic computer skills
• Familiarity with Microsoft Office applications
• Has Zoom video conferencing tool
• Willing to learn business analytics

Course Outline:

Session 1: Introduction to Data and Business Analytics

• Understanding the role of data analytics in business decision-making
• Introduction to Excel and Power BI as analytics tools
• Overview of the course structure and objectives

Session 2: Data Manipulation and Preparation in Excel

• Importing and cleaning data in Excel
• Data transformation techniques (sorting, filtering, etc.)
• Dealing with missing data and errors

Session 3: Basic Data Analysis in Excel

• Descriptive statistics (mean, median, mode, standard deviation, etc.)
• Creating and interpreting histograms and frequency distributions
• Using pivot tables for summarizing and exploring data

Session 4: Data Visualization in Excel

• Creating bar charts, line charts, and pie charts
• Using Excel’s chart customization options
• Best practices for effective data visualization

Session 5: Advanced Data Analysis in Excel

• Correlation and regression analysis
• Time series analysis using Excel
• Scenario analysis and goal seeking

Session 6: Introduction to Power BI

• Understanding Power BI’s role in data analytics
• Power BI interface and components
• Importing data from various sources into Power BI

Session 7: Data Transformation and Modeling in Power BI

• Data shaping and cleaning in Power BI’s Power Query
• Creating relationships between data tables
• Introduction to DAX (Data Analysis Expressions) for calculations

Session 8: Data Visualization and Dashboard Creation in Power BI

• Design principles for effective Power BI dashboards
• Creating interactive visualizations (tables, charts, maps, etc.)
• Building a comprehensive dashboard in Power BI

Session 9: Advanced Analytics in Power BI

• Time intelligence functions in DAX
• Measures and calculated columns in Power BI
• Applying filters and slicers for dynamic analytics

Session 10: Business Decision-Making and Presentation

• Interpreting analytics results for business insights
• Communicating findings effectively to stakeholders
• Case studies and real-world applications of Excel and Power BI in business analytics

Premium Packages: Template files, Session videos, after training services, before training services