Power BI

Data Visualization with Power BI

Overview

The Power BI training course provides a comprehensive understanding of this business intelligence tool for data analysis and visualization. Power BI training covers basic to advanced concepts, including creating interactive dashboards and reports, using DAX formulas, and collaboration features to share insights with others. Power BI training course includes hands-on training and practical exercises to help individuals master the Power BI program and make data-driven decisions.

Course Objectives

To learn exact visualization practices of energy BI Visualization components along with extraordinary sorts of charts and visuals and scenarios to apply them with superior visualization techniques inclusive of designing cell reports, converting the interactivity of visuals, special gaining knowledge of of slicers and filters, growing parent-infant reviews, etc.

On the stop of this education, you'll be capable of do all visualization requirements for electricity BI and could recognize all different additives of energy BI and the way these are all running collectively.

Prerequisites

This Power BI training is designed for data analysts, who have the data modelled and they are ready for them to visualize. Prior work experience in handling data and should have basic knowledge of data visualization, graphs and charts.

Exercises

This path is instructor led, with examples and instruction exercise in a workshop environment.

Course Duration : 12 hours

Course Content

Introduction to Power BI

  • Introduction to Business Intelligence
  • Use case of BI
  • Various BI tools
  • Overview of Data warehouse and concepts
  • Introduction to Power BI
  • Why Power BI?
  • Power BI Components
  • Power BI vs Tableau vs QlikView
  • Installing Power BI Desktop
  • Creating Your First Power BI Project

Hands on Exercise: Create Power BI Dashboard, Source Data from web, publish to cloud and Create Power Tables

Data Extraction

  • Overview of Power BI desktop
  • Data sources in Power BI
  • Using files (excel, pdf, csv, etc.) as a data source
  • Using SaaS connectors
  • Extracting data from folders, and databases
  • Working with Azure SQL database and database sources
  • Connecting to Analysis Services
  • Other data sources (OData, web, SharePoint etc.)
  • Python & R script in Power BI
  • Introduction of power query editor
  • Advance editor
  • Query dependency editor

Hands-on Exercise:Connect to a database, Import records from an excel file, connect with sq. Server, analysis carrier, connect to energy question, connect with square Azure, connect to Hadoop

Data Transformation

  • Shaping data using Power Query Editor
  • Formatting data
  • Transformation of data
  • Understanding of Data types
  • Data profiling for data quality check
  • Naming conventions & best practices to consider
  • Identify and create appropriate keys for joins
  • Working with Parameters
  • Merge Query
  • Append Query
  • Group by of data (aggregation of data)
  • Applied steps (query settings
  • Duplicate & Reference tables
  • Transpose of data
  • Fill
  • Pivot & Un-pivot of data
  • Custom columns
  • Conditional columns
  • Replace data from the tables
  • Split columns values
  • Move columns & sorting of data
  • Detect data type, count rows & reverse rows
  • Promote rows as column headers
  • Hierarchies in Power BI
  • M query

Hands-on Exercise :Install Power BI Desktop and configure the settings,Use Query editor, Write a power query, Transpose a table

Data Modelling & Dax

  • Introduction of relationships
  • Creating relationships
  • Cardinality
  •  Cross filter direction
  • Use of inactive relationships
  • Introduction of DAX
  •  Why DAX is used
  • DAX syntax
  • DAX functions
  •  Context in DAX
  •  Calculated columns using DAX
  • Measures using DAX
  •  Calculated tables using DAX
  • Learning about table, information, logical, text, iterator,
  • Time intelligence functions (YTD, QTD, MTD)
  • Cumulative values, calculated tables, and ranking and rank over groups
  • Date and time functions
  • identify poorly performing measures, relationships, and visuals
  • DAX advanced features

Hands-on Exercise :Create a power Pivot practice filters,Use superior functionalities like date and time features,Embed power Pivot in power BI laptop,Create DAX queries for calculate column, tables and measures.

Data Visualization with Analytics

  • Deep dive into Power BI data visualization
  • Understanding Power View and Power Map
  • Data visualization techniques
  • Page layout & Formatting
  • Power BI Desktop visualization
  • Formatting and customizing visuals
  • Visualization interaction
  • Custom visualization in Power BI
  • Top-down and bottom-up analytics
  • Drill down
  • Drill through
  • Page navigations
  • Bookmarks
  • Selection pane to show/hide visuals
  • Comparing volume and value-based analytics
  • Combinations charts (dual axis charts)
  • Filter pane
  • Slicers
  • Use of Hierarchies in drill down analysis
  • Theme for corporate standards
  • Power BI template for design reusability
  • Mastering the best practices
  • Performance analyzer in Power BI for monitoring performance of report
  • Power BI Q&A (Natural Language Query visual)
  • Sync slicers
  • Tooltips & custom tooltips
  • Tables & matrix
  • Conditional formatting on visuals
  • Waterfall chart, KPI, Donut chart, Scatter chart
  • Geographical data visualization using Maps

Hands-on Exercise :Create a electricity View and a power Map,layout and customize visuals,installation power View on SharePoint and Excel,put in force top-down and backside-up analytics,Create strength View reviews, Charts, Scorecards,add a custom visual to report,Authenticate a energy BI web utility,Embed dashboards in applications,Categorize, filter and sort information the use of power View,Create hierarchies,Use date hierarchies,Use business hierarchies,remedy hierarchy troubles.

Power BI Services(Cloud),Q & A and Data Insights

  • Introduction to Power BI Service
  • Introduction of workspaces
  • Dashboar
  • Creating & Configuring Dashboards
  • Dashboard theme
  • Reports vs Dashboards
  • Building workspace Apps
  • Sharing reports & dashboards
  • configure subscriptions and data alerts
  • Paginated report
  • Introduction to Power Q & A
  • Ask questions about your data using Natural Query Language
  • Getting answers in the form of charts, graphs, and data discovery methodologies
  • Configure custom questions for Q&A like FAQ
  • Ad-hoc analytics building
  • Power Q&A best practices
  • Quick Insights
  • Subscribe, Alerts, Usage statics, Related content
  • Design reports on Power BI Service
  • Collaboration using Power BI Service
  • Row Level Security (RLS)
  • Introduction of Paginated Reports
  • Introduction of Power BI Report Server

Hands-on Exercise :Write queries the use of natural language,Get answers in the form of charts, graphs,construct advert hoc analytics,Pin a tile and a variety to dashboard.

Power BI Settings , Administration & Direct Connetivity

  • Getting to understand Power BI Desktop settings
  • Aggregating data from multiple data sources
  • Power BI Service settings
  • Power BI Admin Portal
  • Administration activities
  • Power BI usage analysis
  • Introduction of Office 365 admin activities
  • Introduction of Data Gateway
  • Installation & Configuration of data gateways
  • Scheduling auto data refresh
  • Managing groups, row-level security, datasets, reports, and dashboards
  • Real time data analysis using Direct Connectivity
  • Direct Query vs Import Mode

Hands-on Exercise :Configure protection for dashboard install records gateways,mixture statistics from more than one statistics assets,schedule facts refresh,manage businesses and row level protection, datasets, reports and dashboards,work with calculated measures.

Embedde Power BI with API & Power BI Mobile

  • Introduction to embedded Power BI
  • Create embedded code
  • Manage embedded code
  • Integration of Power BI in SharePoint
  • Introduction of Power BI API
  • Power BI Embedded playground
  • Introduction to Power BI Mobile
  • Creating mobile based reports & dashboards
  • Optimizing report for Power BI mobile app
  • Features of Power BI mobile app
  • Introduction of integrating Power BI & Excel
  • Power BI Analyze in Excel

Hands-on Exercise :Design Power BI reports for Mobile app,Power BI embedded demo Coming to the last module of this Power BI certification course, you will learn advance Power BI and Power BI Premium.

Power BI Advance & Power BI Premium

  • Introduction of Power BI Premium
  • Power BI Premium per user
  • Power BI Premium features
  • Introduction to Data Flow
  • Create Data Flow
  • Advantages of Data Flow
  • Create reports using Data Flow
  • Introduction to Power BI Deployment Pipelines
  • Create Deployment Pipelines
  • Benefits of Deployment Pipelines
  • Introduction of Sensitivity Labels
  • Introduction of Power BI Goals feature
  • Incremental data load in Power BI
  • use AI visuals
  • use the Forecast feature
  • Power BI best practice rules to improve performance

Hands-on Exercise :Demo of Data Flow,Demo of deployment pipelines,Demo of incremental load of data in Power BI.

Other Courses

POWER BI TRAINING

Course Duration: 16 hours
Modes: Online/ Classroom/ Workshop
In Batch Training Cost: Rs.12000
In One-One Training Cost: Rs.20000

Enquiry Form