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Data Analysis with PowerBI

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  • 3 students enrolled

Data Analysis with PowerBI

Carve A Bright Future by Enrolling in data science Classes in Nanded.

  • No Rating
  • (0 Reviews)
  • 3 students enrolled
  • ₹10000.00
  • ₹10000.00
1-Day Money-Back Guarantee


Requirements

  • To start coding, ensure you have basic computer skills, including software installation and file management. Installation of interpreter and a text editor or IDE like VS Code. Familiarize yourself with basic programming concepts such as variables, control structures, and functions. Utilize online tutorials, documentation, and practice exercises to build your skills. Joining coding communities can
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    provide support and additional learning resources.
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Description

Complete Data analysis with power BI Syllabus from DWANI

 

  1. Introduction to Power BI
  • Overview of Power BI and its components
  • Understanding Power BI Desktop, Service, and Mobile apps
  • Installing and setting up Power BI Desktop
  1. Data Sources and Data Loading
  • Connecting to different data sources (Excel, databases, cloud services)
  • Importing and transforming data
  • Using Power Query for data cleaning and shaping
  1. Data Modeling
  • Creating relationships between tables
  • Understanding DAX (Data Analysis Expressions)
  • Creating calculated columns and measures
  • Managing and optimizing data models
  1. Data Visualization
  • Building basic and advanced visualizations (charts, maps, tables)
  • Customizing visualizations (colors, labels, filters)
  • Creating interactive dashboards
  • Using slicers and filters for interactivity
  1. Reports and Dashboards
  • Designing professional reports
  • Publishing reports to Power BI Service
  • Sharing and collaborating on reports
  • Building and managing dashboards in Power BI Service
  1. Power BI Service
  • Using Power BI Service for cloud-based collaboration
  • Configuring workspaces and apps
  • Scheduling data refreshes and managing datasets
  1. Advanced Analytics
  • Using DAX for advanced calculations
  • Time Intelligence functions in Power BI
  • Using R and Python for advanced analytics in Power BI
  1. Power BI Integration
  • Integrating Power BI with Excel and other Microsoft tools
  • Using Power BI with Power Automate for automation
  • Embedding Power BI visuals in websites and applications
  1. Best Practices
  • Data visualization best practices
  • Optimizing reports for performance
  • Ensuring data security and governance

 

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About Instructor

About Instructor