Description
Data Analysis & Visualization with Power BI
Duration:
5 Days
Course Level:
Intermediate
Target Audience
- Business Analysts who want to learn Data Analysis & Visualization with Power BI
- Data Professionals
- Managers and Decision-Makers that need to learn Data Analysis & Visualization with Power BI
- Individuals seeking to enhance their Power BI skills
Organizational Impacts
- Improved data-driven decision-making across departments
- Enhanced ability to visualize and interpret complex data sets
- Increased efficiency in reporting processes through automation
- Better alignment of business strategies with actionable insights
- Strengthened data culture within the organization, promoting data literacy among employees
- ALl these in Data Analysis & Visualization with Power BI
Personal Impacts
- Enhanced proficiency in using Power BI, a leading data visualization tool
- Increased confidence in analyzing and presenting data effectively
- Greater marketability and career advancement opportunities in data analytics roles
- Improved problem-solving skills through data interpretation
- Ability to contribute to organizational success by providing valuable insights
- All these in Data Analysis & Visualization with Power BI
Course Objectives
- Conduct data analysis using DAX formulas in Power BI
- Create collaborative charts for online visualization
- Utilize a wide array of charts to represent data effectively
- Transform raw data into business intelligence for actionable insights
- You learn these in Data Analysis & Visualization with Power BI
Module 1: Introduction to Self-Service BI Solutions
- Introduction to business intelligence and data analysis
- Overview of self-service BI and its significance
- Key considerations for self-service BI adoption
- Microsoft tools for self-service BI
- Exploring enterprise BI solutions
- Viewing, creating, and managing reports and dashboards in Power BI
- Introduction to the Power BI service and connecting to data
- Case Study: Analyzing how a retail company implemented self-service BI solutions to enhance sales reporting and empower employees to create their own reports and dashboards
Module 2: Power BI
- Using Excel as a data source for Power BI
- Understanding the Power BI data model
- Connecting to databases as a data source
- Importing data into Power BI, including Excel files
- Power BI desktop queries for shaping and combining data
- Managing and transforming data in Power BI
- Case Study: Examining how a marketing team integrated data from multiple Excel files to create a comprehensive campaign performance dashboard, improving reporting efficiency
Module 3: Modelling Data
- Creating and managing relationships in Power BI
- Understanding DAX queries, calculations, and measures
- Building Power BI reports and dashboards using calculated data
- Managing and optimizing Power BI solutions
- Case Study: Investigating how a financial organization used DAX calculations to create dynamic reports, allowing quick adjustments and deeper insights into financial performance
Module 4: Direct Connectivity
- Exploring various connectivity options using Power BI
- Connecting to cloud data and analysis services
- Direct connectivity from Power BI desktop and the Power BI service
- Understanding the developer API and custom visuals in Power BI
- Case Study: Assessing how a healthcare provider leveraged direct connectivity to real-time data sources, enabling immediate reporting and analysis of patient care metrics and operational efficiency
Module 5: Power BI Mobile App
- Introduction to the Power BI mobile app
- Features and functionality of the Power BI mobile app
- Power BI embedded capabilities
- Case Study: Exploring how a logistics company implemented the Power BI mobile app to provide real-time tracking and analytics for field employees, leading to improved operational decision-making. This is the last module of Data Analysis & Visualization with Power BI
