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Power BI Online Live Classes in Dindigul | Free Demo Training

Power BI - Syllabus, Fees & Duration

Microsoft Power BI

Power BI Course Introduction

  • Welcome to Power BI
  • Business Intelligence and Data Analytics Overview
  • Introduction to Power BI

Installing Power BI

  • Access Data From Different Data Sources
  • Connect to Data Source
  • Data Source Settings
  • Select Storage Mode
  • Select Query Type
  • Profile The Data
  • Identify Data Anomalies
  • Examine Data Structure
  • Analyse Column Properties
  • Load and Transform the Data
  • Identify Inconsistencies and Data Quality Issue
  • Apply Value Replacements
  • Evaluate and Transform Column Data Types
  • Apply Data Shape Transformations to Table Structures
  • Combine Queries
  • Apply Naming Conventions to Columns and Queries
  • Edit Power Query Code

    • Design a Data Model


    • Define the Tables
    • Configure Table and Column Properties
    • Define Date Table
    • Develop a Data Model
    • Apply Filtering
    • Create Calculated Tables
    • Create Calculated Columns
    • Implement Row Level Security Roles
    • Set up the Q and A Feature
    • Optimize Model Performance
    • Remove Unnecessary Rows and Columns
    • Identify Poorly Performing Measures Relationships and Visuals
    • Optimize Query Models
    • Create and Manage Aggregations
    • Report Generation
    • Add Visualization Items to Report
    • Choose an Appropriate Visualization Type
    • Format and Configure Visualizations
    • Apply Slicing and Filtering
    • Create Dashboards
    • Manage Tiles on a Dashboard
    • Add a Dashboard Theme
    • Use the Q and A Feature

    Enhance Reports to Expose Insights


    • Perform Top N Analysis
    • Explore Statistical Summary
    • Add a Quick Insight Result to a Report
    • Use the Play Axis Feature of a Visualization
    • Personalize Visuals
    • Perform Advanced Analysis
    • Identify Outliers
    • Conduct Time Series Analysis
    • Use Groupings
    • Use the Key Influencers to Explore Dimensional Variances
    • Manage Datasets
    • Configure a Dataset Scheduled Refresh
    • Configure Row level Security Group Membership
    • Configure Incremental Refresh Settings

    Download Syllabus - Power BI
    This syllabus is not final and can be customized as per needs/updates
       
    10000+
    20+
    50+
    25+

    Power BI Jobs in Dindigul

    Enjoy the demand

    Find jobs related to Power BI in search engines (Google, Bing, Yahoo) and recruitment websites (monsterindia, placementindia, naukri, jobsNEAR.in, indeed.co.in, shine.com etc.) based in Dindigul, chennai and europe countries. You can find many jobs for freshers related to the job positions in Dindigul.

    • Power BI Data Analytics & Data Scientist
    • Data Engineer - SQL & Power BI
    • Power BI Developer
    • Jr Power BI Developer
    • Senior Business Analyst- Power BI
    • BI engineer (Power BI)
    • Power BI - Architect
    • Associate Power BI Analyst
    • Assistant Manager - Power BI
    • Business Analyst

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    Power BI Internship/Course Details

    Power BI internship jobs in Dindigul
    Power BI We offer Microsoft Power BI industrial training in Dindigul by Industry Experts. We provide Power BI internship in Dindigul with live classes and courses. . Our Power BI Course Syllabus covers fundamental to superior degree principles that encompass Report Designing, Visual Sync, Grouping, Hierarchies, Filters, Bookmarks, Azure, Modeling, DAX Functions - Level 1, DAX Functions - Level 2, Power BI Cloud, Excel & RLS, Report Server, RDL and more. The Power BI Course Curriculum is designed via way of means of Microsoft Power BI Certified Experts. Power BI Desktop 2. Power BI Mobile: It is an application (App) on mobile devices which allows you to interact with the reports and dashboard from Power BI Service in Dindigul. Parts of Power BI There are 3 Parts of Power BI 1. Power BI Service 3. Power BI Desktop: It is a Windows desktop application (Report Authoring Tool) which Lets you build queries, models and reports that visualize data.

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