Course Details

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Last Update

September 09, 2023

Created On

July 01, 2023

Description

Power BI is a powerful business intelligence and data visualization tool developed by Microsoft. It allows individuals and organizations to connect to various data sources, transform raw data into meaningful insights, and create interactive reports and dashboards. With Power BI, you can turn data into visualizations that help you make data-driven decisions, spot trends, and communicate information effectively.

Overview

In this course, learn to create dynamic dashboards and reports using Power BI Desktop and Service. Connect to various data sources, perform effective data modeling and analysis, and share visually captivating reports. **Master Tables and Matrix, explore Maps, Cards, and Filters, and leverage Power Query's capabilities.**. This comprehensive Power BI course is designed to equip you with the knowledge and skills needed to master this versatile tool. Starting with the fundamentals, you will gradually progress to more advanced topics, enabling you to become proficient in data analysis and visualization using Power BI.

Features

  • Course material
  • Course resources
  • On demand recorded videos
  • Practical exercises
  • Quizzes
  • Assignments
  • Course completion certificate
  • Hands-on Learning
  • Comprehensive Curriculum
  • Real-world Projects

What you'll learn

  • Tables and Matrix in Power BI
  • Working with Maps
  • Cards and Filters
  • Power Query
  • Create various types of visualizations.
  • Understand Power BI and its interface.

Prerequisites

Curriculum

  • 19 modules

Module 1: Introduction to Power BI

Understanding Business Intelligence (BI)

What is Power BI?

Benefits of Power BI

Power BI Desktop vs. Power BI Service

Module 2: Download, Install, and Update Features in Power BI

Downloading and Installing Power BI Desktop

Navigating the Power BI Desktop Interface

Updating Power BI Desktop

Exploring Power BI Service (Web Version)

Key Features and Updates

This syllabus provides a foundational understanding of Power BI and covers the essential steps to get started with the software.

Module 1: Introduction to Basic Charts in Power BI Desktop

Understanding the Importance of Data Visualization

Overview of Basic Charts in Power BI

How Data Visualization Enhances Decision-Making

Module 2: Column Chart in Power BI

Creating Column Charts in Power BI

Configuring Axes and Data Labels

Customizing Column Charts for Various Data Types

Module 3: Stacked Column Chart in Power BI

Building Stacked Column Charts

Grouping and Aggregating Data

Adding Interactivity to Stacked Column Charts

Module 4: Pie Chart in Power BI

Constructing Pie Charts

Exploding Slices and Formatting Options

Effective Use Cases for Pie Charts

Module 5: Donut Chart in Power BI

Crafting Donut Charts

Customizing Inner and Outer Rings

Combining Donut Charts with Other Visualizations

Module 6: Funnel Chart in Power BI

Creating Funnel Charts to Visualize Sales and Conversion Data

Adjusting Funnel Sections and Labels

Interpreting Funnel Chart Patterns

Module 7: Ribbon Chart in Power BI

Designing Ribbon Charts for Data Comparison

Adding Time-Based Data to Ribbon Charts

Utilizing Ribbon Charts in Business Scenarios

Module 8: Including and Excluding Data in Charts

Techniques to Filter Data in Charts

Highlighting Data Points

Implementing Drill-Down and Drill-Through Functionality

Module 9: Exporting Data from Visuals in Power BI

Exporting Data to Various Formats

Enabling Data Export for End Users

Limitations and Best Practices for Data Export

This syllabus covers the essential aspects of working with basic charts in Power BI Desktop, from introduction to practical techniques and customization.

Module 1: Introduction to Maps in Power BI

Understanding the Role of Maps in Data Visualization

Overview of Mapping Features in Power BI

Benefits of Using Maps for Data Insights

Module 2: Creating Maps in Power BI

Creating Basic Maps in Power BI

Configuring Location-Based Data

Using Geocoding for Mapping

Module 3: Exploring Filled Maps in Power BI

Introduction to Filled Maps

Visualizing Data with Color-Coded Areas

Adjusting Legend and Color Schemes

Module 4: Combining Maps with Pie Charts in Power BI

Integrating Pie Charts into Maps

Representing Data Distribution with Combined Visualizations

Enhancing Insights with Pie Chart Details

Module 5: Formatting Options for Maps in Power BI

Customizing Map Visuals

Adding Data Labels and Tooltips

Using Themes for Map Styling

Module 6: Changing Backgrounds in Power BI Maps

Changing Map Background Styles

Incorporating Custom Map Backgrounds

Creating Visual Contrasts for Effective Communication

Module 7: Creating a Map of India in Power BI

Building a Detailed Map of India

Highlighting Regional Data

Addressing Challenges with Mapping India

Module 8: Creating a Map of Australia in Power BI

Constructing a Map of Australia

Visualizing Geographic Data for Australia

Adapting Maps for Australian Business Insights

This syllabus provides a comprehensive overview of mapping features in Power BI, from the basics to more advanced techniques for creating informative and visually appealing maps.

Creating Maps in Power BI

Exploring Filled Maps

Combining Maps with Pie Charts

Formatting Options for Maps

Changing Backgrounds in Maps

Map of India in Power BI

Map of Australia in Power BI

Creating Tables in Power BI

Formatting Tables

Conditional Formatting in Tables

Aggregation in Tables

Matrix in Power BI

Conditional Formatting in Matrix

Hierarchies in Matrix

Sub-Total and Total in Matrix

Number Formatting in Tables

Line Chart Visualization in Power BI

Advanced Drill-Down Techniques in Line Charts

Area Chart Visualization in Power BI

Comparing Line and Column Charts in Power BI

Scatter Plot Analysis in Power BI

Visualizing Changes with Waterfall Charts in Power BI

Utilizing TreeMap Visuals in Power BI

Gauge Charts for Data Monitoring in Power BI

Number Cards in Power BI

Text Cards and Formatting in Power BI

Date Cards and Relative Filtering in Power BI

Multi-Row Cards in Power BI

Visual Filters in Power BI

Page-Level Filters in Power BI

Global Filters in Power BI

Navigating Insights in Power BI

Text Slicers for Data Filtering in Power BI

Customizing Text Slicers in Power BI

Date Slicers for Date Filtering in Power BI

Customizing Date Slicers in Power BI

Number Slicers for Numeric Filtering in Power BI

Advanced Slicer Techniques in Power BI

Engaging Animated Bar Chart Race in Power BI

Drill Down Analysis with Donut Charts in Power BI

Exploring Data Hierarchies with Drill Down Column Charts in Power BI

Visualizing Textual Data with Word Clouds in Power BI

Analyzing Flow and Relationships with Sankey Charts in Power BI

Creating Informative Infographics in Power BI

Dynamic Playback with Play Axis in Power BI

Interactive Data Scrolling with Scroller Charts in Power BI

Visualizing Hierarchical Data with Sunburst Charts in Power BI

Analyzing Data Distribution with Histograms in Power BI

Incorporating Images into Power BI Dashboards

Adding Text Elements in Power BI Visuals

Utilizing Shapes for Visual Enhancements in Power BI

Interactive Button Functionality in Power BI

Web URL Integration for External Content in Power BI

Seamless Page Navigation in Power BI Dashboards

Bookmarks for Interactive Storytelling in Power BI

Deep Dive Analysis with Drillthrough Actions in Power BI

Building a Superstore Report in Power BI Service

Getting Started with Power BI Service Account Creation

Publishing Reports to Power BI Service

Exporting Power BI Reports: PPT, PDF, and PBIX

Collaborating and Sharing Features in Power BI Reports

Creating Dynamic Dashboards in Power BI Service

Troubleshooting Power BI Dashboard Challenges and Solutions

Enabling Automatic Data Refresh with Power BI Gateway

Combining Text with Merge Columns in Power Query

Manipulating Text with Split and Trim Functions in Power Query

Changing Text Case with Upper, Lower, and ProperCase Functions in Power Query

Adding Prefixes and Suffixes to Text in Power Query

Extracting Substrings with Left, Right, and Mid Functions in Power Query

Extracting Text using Delimiters in Power Query

Extracting Year, Quarter, Month, and Day in Power Query

Calculating Date Differences with Power Query

Obtaining Month and Day Names in Power Query

Analyzing Day, Week of Month, and Year in Power Query

Extracting Date and Time Information in Power Query

Calculating Age from Dates in Power Query

Determining Day of Year, Quarter, and Month in Power Query

Essential Number Functions in Power Query

Calculating Percentages and Modules in Power Query

Rounding Numbers with Power Query Functions

Evaluating Evenness, Oddness, and Sign in Power Query

Combining CSV Files in Power Query

Merging Multiple Excel Sheets and Tables in Power Query

Consolidating Excel Sheets or Tables with Varying Columns in Power Query

Concatenating Multiple Excel Files in Power Query

Merging Different Data Sources in Power Query

Combining Files and Tables in Power Query

Consolidating Sheets or Tables with Merge in Power Query

Integrating Data from Multiple Excel Files or Workbooks in Power BI

Blending Data from Various Data Sources in Power Query

Merging Data with Multiple Criteria in Power BI

Conditional Columns and Examples in Power BI

Text Splitting with Column Examples in Power BI

Column Merging with Examples in Power BI

Date Columns from Examples in Power BI

Alphanumeric Columns from Examples in Power BI

Conditional Columns in Power BI (Single Column)

Conditional Columns in Power BI (Two Columns)

Comparing Columns for Conditional Columns in Power BI

Conditional Columns Based on Dates in Power BI

Filling Down Values in Power Query

Grouping Data in Power Query (Power BI)

Transposing Data in Power Query (Power BI)

Unpivoting Data in Power Query (Power BI)

Managing Data Types in Power Query (Power BI)

Handling Errors and Replacing Values in Power Query (Power BI)

Filtering Rows in Power Query (Power BI)

Adding, Removing, and Navigating Columns in Power Query (Power BI

Getting Started with M Language in Power Query

Working with Date Functions in M Language - Power BI

Performing Date Calculations with M Functions in Power BI

Essential Date Functions in M Language - Power BI

Essential Text Functions in M Language - Power BI

Writing Simple M Code in Power BI

Unlocking 900+ M Functions in Power BI

Instructors

Skoliko Faculty

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₹2500.00
  • Modules
    19 Modules
  • Duration
    10 Hours
  • Category
    Data Analytics

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