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Power BI Training Key Features

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Practical Power BI Labs

Get hands-on experience connecting, transforming, modeling, and visualizing data using Power BI Desktop and Service in our dedicated lab environment.

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Flexible Online and In-Person Classes

Learn at your convenience through our classroom sessions at Ameerpet or Kukatpally, or join live interactive online classes from anywhere in the world.

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Dedicated Power BI Mentorship

Receive personalized assistance for all your Power BI projects and complex analytical challenges from our experienced instructors during and after your course.

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Robust Career & Placement Guidance

We help you prepare for Business Intelligence interviews with mock sessions, resume optimization, and direct connections to job opportunities in data-driven companies.

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Real-World Dashboard Projects

Gain invaluable experience by developing end-to-end interactive dashboards and reports for various business scenarios using real-world datasets.

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Engaging Learning Community

Collaborate with a supportive community of peers and instructors, fostering enhanced data visualization skills, knowledge sharing, and valuable networking opportunities.

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Power BI Training Overview

Value Learning offers comprehensive Power BI training courses at both Ameerpet and Kukatpally (KPHB), Hyderabad. Our programs are meticulously designed to equip you with the practical skills needed to transform raw data into compelling visualizations and actionable business reports.

Power BI, Microsoft's leading business intelligence tool, empowers users to connect to diverse data sources, transform data using Power Query, create sophisticated data models with DAX (Data Analysis Expressions), and design interactive dashboards and reports. This enables organizations to gain immediate insights and make informed decisions. Our expert-led training covers the entire Power BI workflow, ensuring you are proficient in data connectivity, analysis, visualization, and sharing reports across your enterprise.

320

Successful Learners

68k

Training Hours Delivered

540

Enterprise Projects Covered

Power BI Training Objectives

The Power BI course at Value Learning, delivered at our Ameerpet and Kukatpally (KPHB) centers in Hyderabad, is designed to give learners a robust understanding of Power BI's capabilities for data analysis, visualization, and reporting.

Through this training, you will gain hands-on experience with data loading and transformation using Power Query, data modeling with DAX, and creating highly interactive and insightful dashboards. You'll learn to derive critical business insights from complex datasets and present them effectively.

The primary goal of the training is to empower learners to confidently design and deploy impactful business intelligence solutions, enabling data-driven decision-making across organizations.

To equip learners with comprehensive, practical experience in the end-to-end Power BI project development lifecycle, from connecting to various data sources to publishing and sharing reports, preparing them for specialized roles in business intelligence.

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Course Curriculum - Power BI

Overview:
  • What is Power BI? Components and Architecture
  • Understanding Business Intelligence (BI) and its Importance
  • Role of Power BI in Data Analysis and Decision Making
  • Power BI Desktop, Service, Mobile Apps, and Gateway
  • Setting up Power BI Desktop and Basic Interface Walkthrough

  • Connecting to Various Data Sources: Excel, CSV, Text Files
  • Importing Data from Databases (SQL Server, MySQL, etc.)
  • Connecting to Web Data and Online Services
  • Understanding Import vs. DirectQuery Connection Modes
  • Managing Data Source Settings and Credentials

  • Introduction to Power Query Editor Interface
  • Cleaning and Shaping Data: Renaming Columns, Changing Data Types
  • Handling Missing Values, Errors, and Duplicates
  • Transforming Data: Pivoting, Unpivoting, Transposing
  • Merging Queries (Joins) and Appending Queries (Unions)
  • Introduction to M Language for Advanced Transformations

  • Understanding Star Schema vs. Snowflake Schema
  • Creating and Managing Relationships between Tables
  • Cardinality and Cross-Filter Direction
  • Hiding Columns and Organizing Data for Reporting
  • Best Practices for Building Robust Data Models

  • Understanding Calculated Columns vs. Measures
  • Basic DAX Functions: SUM, AVERAGE, MIN, MAX, COUNT
  • Creating Simple Measures for Aggregations
  • Using RELATED and RELATEDTABLE Functions
  • Introduction to Evaluation Context: Row Context and Filter Context

  • The CALCULATE Function: Powering DAX Calculations
  • Time Intelligence Functions (TOTALYTD, SAMEPERIODLASTYEAR)
  • Creating Date Tables and Marking as Date Table
  • Using Iterating Functions (SUMX, AVERAGEX, COUNTX)
  • Advanced Filtering with ALL, ALLEXCEPT, REMOVEFILTERS

  • Choosing Appropriate Visualizations (Bar, Line, Pie, Scatter, Maps)
  • Creating and Customizing Visuals in the Report View
  • Using Slicers and Filters for Interactivity
  • Drill-down, Drill-through, and Bookmarks
  • Conditional Formatting in Visuals

  • Principles of Effective Dashboard Design
  • Storytelling with Data through Reports
  • Optimizing Report Performance
  • Creating Compelling Layouts and Themes
  • Accessibility Features in Power BI Reports

  • Publishing Reports from Power BI Desktop to Service
  • Creating Dashboards in Power BI Service
  • Sharing and Collaborating on Reports and Dashboards
  • Setting up Row-Level Security (RLS)
  • Monitoring Usage Metrics and Refresh History

  • Understanding the Role of Data Gateways
  • Installing and Configuring On-premises Data Gateway
  • Setting up Scheduled Data Refresh for Reports
  • Troubleshooting Gateway and Refresh Issues
  • Live Connections vs. Imported Data Refreshes

  • Accessing Reports on Power BI Mobile Apps
  • Optimizing Reports for Mobile View
  • Exploring and Importing Custom Visuals from AppSource
  • Understanding When to Use Custom Visuals
  • Creating Advanced Interactions using Sync Slicers and Edit Interactions

  • Integrating Power BI with Excel and PowerPoint
  • Embedding Power BI Reports in Websites or Applications
  • Introduction to Power BI with Python/R Visuals
  • Utilizing AI Visuals and Key Influencers
  • Understanding Power BI Premium Features (overview)

  • Techniques for Optimizing Data Models for Speed
  • Best Practices for Writing Efficient DAX Measures
  • Reducing File Size and Report Load Times
  • Using Performance Analyzer to Identify Bottlenecks
  • Understanding Data Storage Modes (Import, DirectQuery, Composite)

  • Common Power BI Errors and Resolutions
  • Debugging DAX Formulas and Power Query Steps
  • Maintaining Data Quality and Integrity
  • Version Control for Power BI Projects (Conceptual)
  • Documentation and Governance in Power BI Deployments

  • Applying Power BI in Various Business Scenarios (Sales, Finance, Marketing)
  • Case Studies and End-to-End Project Walkthroughs
  • Preparing for Microsoft Power BI Certification Exams
  • Role of a Power BI Developer/Analyst in Industry
  • Job Market for Power BI Professionals in Hyderabad, Telangana, India
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