Stop Guessing, Start knowing Your Data: Take Admission to Master Power BI Visualization Skills

Duration:   48 hours
Difficulty Level:   Beginner to Advance
This Training also includes:
  • Physical On-Campus and Online Training
  • Hands-On Case Study based learning
  • Expert Guidance
  • Lifetime WhatsApp support
  • Networking community access
  • Government Endorsed Certificate
  • Enquire Now

    Dashboard Reporting & Analysis with Power BI

    ( 5.0 )
    Overview

    Become proficient in the field of Data Analysis by enabling yourself to make confident decisions using up-to-the-minute analytics. Gain the knowledge and apply skills to import and merge large amounts of data, summarize and aggregate data, present strategic data and empower informed decision-making.

    This training program also covers advanced tools and techniques which include Data Normalization, Data Modeling Analysis, Visualization, SQL for Power BI, Python integration, and using Built-in Artificial Intelligence features in Power-BI.

    Now introducing MS Fabric for enhanced data analytics. Learn how to build workspaces and Lakehouses. Further you will be able to learn apply on how to Auto-Create a report in Power BI.

    Training Outline
  • Introduction to Pivot Table
  • Create a Basic Pivot Table Report
  • Rearranging a Pivot Table Report
  • Customizing a Pivot Table
  • Adding and Removing Subtotals
  • Sorting in a Pivot Table
  • Filtering in a Pivot Table
  • Create Report Filter Pages
  • Using Slicers in Pivot Table
  • Sorting in a Pivot Table Working with Pivot Chart
  • Introducing Busniess Intelligence for MS Excel
  • Understanding BI Data
  • Creating Data Models
  • Defining a Report
  • Understanding and Creating PowerPivot Data reports
  • Creating DAX (Data Analysis Expressions) Functions
  • Mining for information with date and time analysis
  • Dates and Hierarchies and Shaping Reports
  • Creating Calendar Table
  • Working with multiple date columns
  • Apply ETL (Extraction, Transformation & Loading) process using Power Query
  • Query Editor Transformations
  • Getting started with Power BI Desktop
  • Data Sources in Power BI Desktop
  • Connect to live Web Data and MS Access
  • Import Excel Workbooks
  • Analysis Services Tabular Data
  • Shape and Combine Data
  • Data Categorization
  • Relationship View
  • Create and manage relationships in Power BI Desktop
  • Data Type in Power BI Desktop
  • Measures in Power BI Desktop
  • Calculated Columns and Tables
  • DAX Basics
  • Report View
  • Tips and tricks for creating reports
  • Import and display KPIs
  • Creating Tables in Power BI
  • Matrix Visualization
  • Tables and Matrices
  • Methods of Aggregation
  • Cards and Multi Row Cards
  • Percentage Calculations
  • Filtering Data - Using Slicers, Visual Filters, Page Filters, Drill Through Filter
  • Clustered Column Graphs
  • Stacked and 100% Graphs
  • Graph Options
  • Trend Analysis Graphs
  • Area Graphs
  • Ribbon Graphs
  • Scatterplots and Bubbleplots
  • Using Smart Narrative feature in Power BI
  • Creating Dashboard report using Q&A feature
  • Publish from Power BI Desktop
  • Share Dashboards through Power BI Desktop and Mobile Application
  • Chapter Introduction - Advanced Power Query
  • M Language Basic Syntax
  • Text Comparison Tools
  • M Language Intellitext
  • Learning New Functions
  • Query Editor Concepts
  • Query Order of Operations
  • Query Parameters
  • Introducing Functions
  • Optional Parameters: Extending Functions
  • Function Short-Hand
  • Function in Function
  • Records
  • Chapter Introduction - Advanced Data Modeling & DAX
  • DAX Functions for Advanced Data Modeling
  • Build the Visual Dimension
  • Create the Visual Measure with CROSSFILTER()
  • Build a Multi-Relationship Visual Dimension
  • Create the Visual Measure with USERELATIONSHIP()
  • Create the Visual Measure with CONTAINSSTRING()
  • Build Visuals with Other Dynamic Elements
  • Create Dynamic Metric Selection
  • Advanced Data Modeling & DAX Use Case
  • Create the Filter Dimension in Power Query
  • Relate the Filter Dimension in the Data Model
  • Artificial Intelligence in Power BI
  • Generate a Summary with a Smart Narrative
  • Create a Q&A Visual
  • Configure the Q&A Visual
  • Analyze to Explain the Increase or Decrease
  • Identify the Key Influencers of the Balance Sheet
  • Examine the Balance Sheet with a Decomposition Tree
  • Detect Anomalies in the Current Ratio
  • Forecast Future Values of the Quick Ratio
  • Generate Insights in Power BI Service
  • Chapter Introduction - Python Integration in Power BI
  • Download & Connect Python to Power BI
  • Create Data with a Python Script
  • Import External Data with Python
  • Run a Python Script in Power Query
  • Create a Visual with Matplotlib
  • Machine Learning with Python in Power BI
  • Load & Inspect the Iris Dataset
  • Reshape Iris to a Data Frame
  • Build a Classification Model
  • Update the Classification Model in Power Query
  • Visualize Classification Model with a Decision Tree
  • What is Fabric?
  • Enabling fabric preview
  • Onelake and Lake house
  • Workspace Creation
  • Creating a Lakehouse for Power BI Data
  • Exploring the Lakehouse
  • Adding Users to a Workspace
  • Dataflow Creation
  • Loading Dataflow to Lakehouse
  • Notebook creation
  • Building Data Pipelines
  • Creating Data mart
  • Building Models in the Data mart
  • Building SQL Queries and Visual Queries
  • Creating and Using Datasets
  • Adding DAX Measures and Selecting Tables
  • Auto creating a Report in Fabric
  • Creating a Report from Scratch
  • Promoting or Certifying Your Report
  • Learning Outcomes

    Integrate existing data with Power BI seamlessly with any source

    Apply Artificial Intelligence features in Power BI to automate the repetitive tasks in a workflow to boost efficiency

    Create advanced queries using query editor in Power BI

    Add user-controlled elements in dashboards

    Integrate Python as a data source in Power BI

    Create interactive dashboards in Power BI to see whole company data in one snap-shot

    Develop familiarity with core concepts of Microsoft Fabrics for data analytics and engineering

    Create and customize workspaces in Fabric, utilizing Lake houses for efficient Power BI data storage.

    Develop skills in data flow creation, building data pipelines, and optimizing data models within Fabric for advanced analytics and reporting in Power BI.

    Salient Features
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    Integrate smoothly with existing applications using DAX Function

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    Personalized Dashboards

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    No Memory and Speed Constraints

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    Simple and Performance Oriented

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    Secure Reports

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    No Specialized or External Support Required

    Target Audience

    Sales Analysis

    Marketing Analysis

    Business Analysts

    Finance & Accounts

    Data Analysts

    Project Managers

    Operations and Logistics Manager

    HR Professionals

    IT Professionals

    Data Scientists

    Prerequisites

    Basic computer literacy, familiarity with Windows operating system

    Trainer Profile
    Tahir Ali

    Tahir Ali is a highly motivated corporate trainer with experience in training small and large groups across diverse industries. Proven success in leveraging educational theories and methodologies to design, develop, and deliver successful training programs and integrate instructional technology to provide onsite and virtual training.

    Professional Certifications:
    • Microsoft Certified Trainer
    • Microsoft Office Specialist Master – 2013 & 2016
    • Microsoft Excel Expert - 2013 & 2016
    • Microsoft Word Expert - 2016
    • Microsoft Office Specialist - 2013 & 2016
    About Img



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