Data Visualization Course

Data Visualization course datakliq

Module 1: Introduction to Power BI

  • Understanding Data Visualization: Exploring the importance of visualizing data for better insights
  • Introducing Power BI: Overview of Power BI and its applications in data analysis and reporting
  • Getting Started: Downloading and installing Power BI Desktop, navigating the interface

Module 2: Connecting to Data Sources

  • Data Source Overview: Understanding various data sources compatible with Power BI
  • Connecting to Data: Importing data from Excel, CSV, databases, and other sources
  • Data Transformation: Cleaning, shaping, and preparing data for analysis

Module 3: Data Modeling and Relationships

  • Introduction to Data Modeling: Understanding data models and their significance in Power BI
  • Creating Relationships: Defining relationships between tables to establish meaningful connections
  • DAX Functions: Introduction to Data Analysis Expressions for creating calculated columns and measures

Module 4: Creating Visualizations

  • Chart Types: Exploring different visualization types (bar charts, line charts, pie charts, etc.)
  • Customizing Visuals: Formatting options for colors, labels, axes, and legends
  • Interactive Visualizations: Adding filters, slicers, and drill-throughs for dynamic user experience

Module 5: Advanced Visualization Techniques

  • Hierarchies: Creating and using hierarchies to drill down into data
  • Conditional Formatting: Applying rules to format visuals based on data values
  • Cross-Report Drillthrough: Linking visuals across different reports for seamless exploration

Module 6: Dashboard Creation

  • Designing Dashboards: Organizing visuals into a compelling and insightful dashboard
  • Power BI Service: Publishing reports and dashboards to the Power BI cloud service
  • Sharing and Collaboration: Collaborating with team members and sharing dashboards securely

Module 7: Data Insights with Q&A and AI

  • Q&A (Natural Language Query): Using Q&A to interact with data using natural language
  • AI Insights: Leveraging Power BI’s AI capabilities for generating automated insights

Module 8: Power BI Mobile App

  • Mobile Optimization: Designing reports and dashboards for mobile devices
  • On-the-Go Insights: Exploring data and receiving notifications with the Power BI mobile app

Module 9: Data Refresh and Security

  • Data Refresh: Configuring scheduled data refresh to keep reports up to date
  • Row-Level Security: Implementing security measures to control data access for different users

Module 10: Power BI Best Practices

  • Performance Optimization: Tips for improving report performance and reducing load times
  • Design Principles: Applying best practices for effective and aesthetically pleasing visualizations

By the end of this course, you will have the foundational knowledge and skills to harness Microsoft Power BI’s capabilities fully. You’ll be able to transform raw data into compelling visual stories, empowering you to make data-driven decisions and communicate insights effectively with stakeholders and colleagues

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