Microsoft Power BI Training

Microsoft Power BI Training

microsoft power bi training and certification

Power BI offers promising career opportunities in Kerala's growing tech landscape. With the rise of IT hubs like Technopark and Infopark, demand for skilled Power BI professionals is increasing across industries such as finance, healthcare, education, and tourism. Companies seek experts who can transform data into actionable insights, driving business decisions. Completing a Power BI course opens doors to roles like Data Analyst, BI Developer, and Business Intelligence Consultant. Additionally, Kerala's thriving start-up ecosystem values data-driven strategies, further enhancing job prospects. With the right skills and certification, Power BI professionals in Kerala can secure rewarding positions and build successful careers.

Why Choose Our Power BI Course?

Unlock the power of data with our comprehensive Power BI course, designed for learners at all levels. Whether you're a beginner or an advanced user, this course will equip you with the skills needed to transform raw data into insightful reports and dashboards.


Course Highlights:

  • Expert-Led Training: Learn from industry experts with real-world experience.
  • Live Online Classes: Interactive sessions with hands-on learning.
  • >
  • Free Trial Class: Experience our teaching methodology with a no-obligation trial session.
  • Certification: Earn an industry-recognized Power BI certification upon completion.
  • Placement Assistance: Benefit from dedicated support to help you secure a job in data analytics.
  • Internship Opportunities: Work on real-time projects to gain practical experience.

Syllabus

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



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