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Power BI Online Live Classes in Surat | 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 Surat

    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 Surat, chennai and europe countries. You can find many jobs for freshers related to the job positions in Surat.

    • 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 Surat
    Power BI We offer Microsoft Power BI industrial training in Surat by Industry Experts. Power BI Service 3. Power BI is the use of Data Analysis Expressions (DAX) programming language for enterprise analytics gear which connects to distinctive statistics reassets to research statistics and proportion insights for the duration of your organization. . 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. We provide Power BI internship in Surat with live classes and courses. The Power BI Course Curriculum is designed via way of means of Microsoft Power BI Certified Experts. Parts of Power BI There are 3 Parts of Power BI 1. You can join Power BI Training in Surat after attending our trail class by experts. Power BI Desktop 2.

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