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Power BI For Data Aalytics

Course Description

4.8 (28084)

Learners

32817

What’s included in this Course

 2 months duration hands-on practice

 Live project training

 Interview Preparations

 Daily Assignment

 Online & Class Room Training

 500+ Question for Exercise

Overview:

Power BI Tools

Power BI, developed by Microsoft, is a data visualization and business intelligence tool primarily used for transforming raw data from various sources into actionable insights through interactive dashboards and reports, allowing users to easily analyze and visualize complex information to make data-driven decisions within a business setting; it's considered a powerful tool for data analytics due to its user-friendly interface, extensive data connectivity options, and ability to generate visually appealing reports with features like AI-powered insights and advanced data modeling capabilities.

Power BI excels at creating visually appealing charts, graphs, maps, and other data visualizations to effectively communicate complex trends and patterns within data sets.

Course Content

  • Overview of Power BI
  • Power BI Desktop vs Power BI Service
  • Power BI Interface
  • Installing Power BI Desktop
    Loading Data (Excel, CSV, Web, SQL, etc.)
  • Data Transformation with Power Query Editor
    • 🔹Cleaning and shaping data
    • 🔹Merging and appending queries
    • 🔹Removing duplicates, filtering rows, and changing data types
  • Creating Basic Visualizations
    • 🔹Tables, columns, bar charts, pie charts, etc.
    • 🔹Understanding basic charts and when to use them
  • Understanding Data Models
  • Building Relationships
  • Creating Calculated Columns
  • Measures and Aggregations
  • Advanced Visualizations
    • 🔹Combo charts, maps, gauge charts, and KPI visualizations
    • 🔹Custom visuals from the marketplace
  • Slicing and Dicing Data
  • Conditional Formatting
  • Time Intelligence
  • Advanced DAX Functions:
    • 🔹Understanding CALCULATE, FILTER, ALL, and other advanced functions
    • 🔹Context in DAX: Row context and filter context
  • Time Intelligence in Depth:
    • 🔹Calculating Year over Year (YoY), Month over Month (MoM) changes
    • 🔹Using the DATEADD, SAMEPERIODLASTYEAR, and DATESYTD functions
  • Key Performance Indicators (KPIs):
  • Publishing Reports
  • Creating Dashboards
  • Sharing Reports
  • Collaborative Features
  • Power BI App
  • Advanced Data Transformation
  • Creating Custom Functions in Power Query
  • Optimizing Data Models for Performance
  • Connecting to SQL Server
  • Using Azure Services
  • Dataflows in Power BI
  • What-If Analysis
  • R and Python Integration
  • Advanced Forecasting and Trend Analysis
  • Automating Reports with Power BI Service
  • Power Automate Integration
  • Power BI and Power Apps Integration
  • Row-Level Security (RLS)
  • Data Privacy and Governance
  • Best Practices for Report Design
  • Optimizing Performance
  • Data Analysis and Reporting
  • Presentation and Feedback
  • Interview Questions