Data Analysis Using Power BI

Data Analysis Using Power BI

  • Last updated 04/2023
  • Certified Course
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Data Analysis Using Power BI

About The Course

Data analysis using Power BI involves collecting, transforming, and visualizing data to gain meaningful insights that support better decision-making. Power BI allows users to connect data from multiple sources such as Excel, databases, cloud services, and APIs, and then clean and shape that data using Power Query. With its interactive dashboards and reports, users can easily identify trends, patterns, and outliers through charts, tables, and KPIs. Power BI also supports advanced analysis using DAX (Data Analysis Expressions), enabling the creation of calculated columns, measures, and custom metrics.

Data Analysis Using Power BI @ Learnage Academy

Power BI provides advanced analytical features through DAX (Data Analysis Expressions), which allows users to create custom calculations, time-based analysis, and performance indicators. It supports real-time analytics and scheduled data refreshes, ensuring that reports always reflect the latest information. Power BI also emphasizes collaboration, enabling reports to be shared securely across teams through the Power BI Service and embedded into applications or websites. With strong data security, role-based access, and integration with Microsoft tools like Excel, Azure, and Teams, Power BI serves as a reliable and scalable platform for data-driven analysis across various industries.

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Certificate

  • Duration: 50 Hours
  • Number of Question: 80-100
  • Format: Multiple choices

Prerequisites

  • Anyone having interest in Data Analysis Using Power BI.
  • Knowledge of using computer.
  • Basic internet skills.

Training - Deliverables

  • Training
  • Books
  • CD's
  • Participation Certificate
  • Regular Track: 04 Months (120 Days)
  • Exam Duration: 3 Hours

Topics Covered

INTRODUCTION TO POWER BI:

  • Why Use Power BI?
  • Power BI Desktop
  • Explanation of ETL process (Extract, Transform, Load)
  • Data Types

EXTRACTING & TRANSFORMING DATA:

  • Extracting data from various sources:Text/CSV files, Excel worksheets, Multiple Files in a Folder, and more Transforming data using the Power Query Editor:
  • ETL = Extract, Transform, Load
  • ELT = Extract, Load, Transform

DATA TRANSFORMATION:

  • Use First Row as Headers
  • Remove Empty rows (null data)
  • Split Column By Delimiter
  • Applied Steps
  • Merge Queries
  • Append Queries
  • Fill Down
  • Transpose
  • Pivot
  • Column profiling for data quality check

CREATING POWER BI REPORTS, AUTO FILTERS

  • Understanding Power BI Report Designer
  • Report Canvas, Report Pages: Creation, Renames
  • Report and Dashboard Difference
  • Report Visuals, Fields
  • Experimenting Visual Interactions, Advantages
  • Reports with Multiple Pages and Advantages
  • Pages with Multiple Visualizations
  • Data Access PUBLISH Options and Report Verification in Cloud
  • “GET DATA” Options and Report Fields, Filters
  • Data Types - Numbers, String, Date and Time
  • Report View Options: Full, Fit Page, Width Scale
  • Stacked bar chart, Stacked column chart Clustered bar chart, Clustered column chart
  • Adding Report Titles. Report Format Options
  • Focus Mode, Explore and Export Settings

CHART AND MAP REPORT PROPERTIES:

  • Chart report types and properties
  • Stacked bar chart, stacked column chart
  • Clustered bar chart, clustered column chart
  • 100% stacked bar chart, 100% stacked column
  • chart Line charts, area charts, stacked area charts
  • Line and stacked row charts line and stacked column charts
  • waterfall chart, scatter chart, pie chart Field Properties: Axis, Legend, Value, Tooltip
  • Field Properties: Color Saturation, Filters Types/li>
  • Formats: Legend, Axis, Data Labels, Plot Area
  • Data Labels: Visibility, Color and Display Units
  • Data Labels: Precision, Position, Text Options
  • Analytics: Constant Line, Position, Labels
  • Adding Report Titles. Report Format Options
  • Working with Waterfall Charts and Default Values
  • Modifying Legends and Visual Filters - Options
  • Map Reports: Working with Map Reports
  • Hierarchies: Grouping Multiple Report Fields
  • Hierarchy Levels and Usages in Visualizations
  • Using Field Hierarchies with Chart Report

REPORT VISUALIZATIONS and PROPERTIE:

  • Power BI Design: Canvas, Visualizations and Fields
  • Import Data Options with Power BI Model, Advantages
  • Data Fields and Filters with Visualizations
  • Visualization Filters, Page Filters, Report Filters
  • Conditional Filters and Clearing. Testing Sets
  • Creating Customized Tables with Power BI Editor
  • General Properties, Sizing, Dimensions, and Positions
  • Grid Properties (Vertical, Horizontal) and Styles
  • Table Styles & Alternate Row Colors - Static,
  • Dynamic Sparse, Flashy Rows, Condensed Table Reports. Focus Mode
  • Total Computations, Background. Borders Properties
  • Column Headers, Column Formatting, Value Properties
  • Conditional Formatting Options - Color Scale
  • Page Level Filters and Report Level Filters
  • Visual-Level Filters and Format Options
  • Report Fields, Formats and Analytics
  • Page-Level Filters and Column Formatting, Filters
  • Background Properties, Borders and Lock Aspect

HIERARCHIES and DRILLDOWN REPORTS:

  • Hierarchies and Drill Down Options
  • Hierarchy Levels and Drill Modes - Usage
  • Drill-thru Options with Tree Map and Pie Chart
  • Higher Levels and Next Level Navigation Options
  • Aggregates with Bottom/Up Navigations. Rules
  • Multi Field Aggregations and Hierarchies in Power BI

BUILDING/DESIGN A REPORT:

  • Adding a Title
  • Adding a Logo
  • Adding a Background (Solid Color or Photo)

SLICERS:

  • What Slicers Are
  • Adding & Using a Slicer

RELATIONSHIPS:

  • Relationship importance
  • Understanding types of relationship
  • Creating relationships
  • Cross filter relation: Single or Both

DAX & MEASURES:

  • Create Measures
  • Using Measures in a Data Visualization
  • Calculated Columns
  • Using DAX to create a Calculated Column
  • Navigating Related Tables using DAX

  • SQL Introduction
  • SQL Database:
  • SQL Table:
  • SQL Constraints:
  • SQL Data Types:
  • SQL Operators:
  • SQL Wildcard Characters:
  • SQL Joins
  • SQL Aggregate Function:
  • SQL Views:
  • SQL Dates
  • String Functions in SQL Server:
  • SQL Server Date Functions:
  • SQL query:

Working with Advanced Formulas:

  • Using Named Ranges in Formulas
  • Naming a Single Cell and Range of Cells
  • Naming Multiple Single Cells Quickly
  • Using Formulas Spanning Multiple Worksheets
  • Using the IF Function
  • Using AND/OR Functions
  • Using the SUMIF, AVERAGEIF, and COUNTIF Functions
  • Working with the LOOKUP, VLOOKUP and HLOOKUP Functions
  • Understand various Financial Functions

Working with Lists:

  • Converting a List to Table
  • Removing Duplicates from a List
  • Sorting Data in a List
  • Filtering Data in a List

Working with Illustrations

  • Advantages of using Illustrations
  • Working with Clip Art
  • Using Shapes
  • Working with SmartArt

Data Visualization – Advanced:

  • Overview of Data Visualization
  • Advantages of Data Visualization
  • Understanding and working with Charts
  • Creating a Custom Chart Template
  • Inserting Charts
  • Adding and Formatting Objects
  • Inserting Text in Charts
  • Working with Advanced Features
  • New Chart Formats -Tree maps, Sunburst, Histogram, Waterfall, Box and Whisker, Pareto

Advanced Formatting in Excel

  • Understanding and Applying Conditional Formatting
  • Using and Working with Styles

Working with Pivot Tables:

  • Understanding Pivot Tables
  • Creating Pivot Table
  • Working with Column and Row Labels
  • Formatting a Pivot Table
  • Inserting Slicers
  • Working with Pivot Tables
  • Inserting Pivot Charts

Introduction to Power Query:

  • What is Power Query
  • Enabling Power Query Add-on
  • Working with Power Query to Import
  • Data from various sources
  • Managing Data using Power Query

Macros

  • What is a Macros
  • How to use and apply Macros

WHO CAN JOIN THIS PROGRAM?

  • Students & fresh graduates
  • Job seekers looking for IT roles
  • Non-IT learners shifting to Data Analysis Using Power BI
  • Working professionals upgrading skills
  • Anyone interested in QA & Testing

No technical/coding background required — all concepts start from basics.

CAREER PATHWAYS AFTER COMPLETING THE COURSE

  • Data Analyst
  • Business Intelligence (BI) Analyst
  • Power BI Developer
  • Reporting Analyst
  • Data Visualization Specialist
  • Analytics Executive
  • MIS Executive
  • Junior Data Scientist

WHY DATA ANALYSIS USING POWER BI IS A TOP CAREER TODAY

Data Analysis using Power BI is considered a top career today because organizations across all industries are increasingly relying on data to make informed and strategic decisions. Power BI enables businesses to transform complex and large datasets into clear, interactive visualizations that help management understand performance, trends, and opportunities in real time.

ABOUT REDBACK ACADEMY

Redback Academy is a trusted training institute in Vellore offering practical, industry-focused learning programs. Our aim is to help students and professionals gain hands-on experience with real-world tools and technologies.

We also offer training in:

  • Data Analytics
  • Web Development
  • Cyber Security
  • Python Programming
  • Networking & More

Our practical teaching approach and expert mentorship ensure learners become job-ready.

Frequently Asked Questions

Power BI is a Microsoft tool used for data analysis and interactive data visualization.

Anyone interested in data analysis, including students and professionals, can learn Power BI.

No, programming is not mandatory to learn Power BI.

You will gain skills in data cleaning, visualization, reporting, and analytics.

You can work as a Data Analyst, BI Analyst, or Power BI Developer.

Yes, Power BI is highly in demand across many industries.

Yes, Power BI can efficiently handle large datasets.

Power BI Desktop is free, but sharing reports requires a paid version.
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