DATA VISUALIZATION USING POWER BI

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    CFI – India’s Leading Finance and Analytics Training Institute

    CFI’s Program on “Data Visualization using Power BI” prepares you to become a Certified Power BI Professional. The program equips candidates with the skills and insights to thrive in today’s data-driven business landscape. Power-BI program is designed to empower professionals and aspiring analysts with the knowledge and expertise required to extract actionable insights, drive informed decision-making, and propel organizational success.

    Whether you are an aspiring Data Analyst eager to enter the field or a seasoned professional looking to upskill, this course is your gateway to mastering the symbiotic relationship between business strategy and data analytics.

    Top Hiring Companies

    genpact
    Wipro

    Who Should Enroll?

    Our training is open to ambitious candidates who come from a range of backgrounds and will typically be

    worker

    Graduates / Engineers

    graduate

    Post-Graduates / MBAs

    case-study

    CAs/CFAs or equivalents

    data-research

    Analysts / Executives

    decision-making

    Business Decision Makers

    Speak to our Counselor to know if you are good fit for the program at +91-9354266554 or Mail Us at [email protected]

    Course Format

    Duration:

    25 hours of training
    spread over 3 Weeks

    Format:

    Blended learning with a mix of live lectures, hands-on workshops, and real-world case studies

    Assessments:

    Practical assignments, quizzes, and a final project applying learned concepts to a business scenario.

    Technologies / Covered

    MS Excel

    Power BI

    SQL

    Python and its libraries

    Data Analytics

    Statistics

    Key Areas of Learning

    Business Strategy Integration

    Data Exploration and Visualization

    Statistical Analysis for Decision-Making

    Data-Driven Decision-Making

    Power BI - Program Curriculum

    MS Excel – 8 Hours
    • Working with Name Range: –
      • What does naming a cell range mean?
      • Rules for naming cells and ranges
      • Naming cell range(s) in a worksheet
      • Navigating through workbooks using named ranges
      • Creating named ranges automatically based on cell values
    • Numeric/Statistial Functions/ Lookup Function:-
      • SUM, SUMIF, SUMIFS
      • AVERAGE, AVERAGEIF, AVERAGEIFS
      • COUNT, COUNTIF, COUNTA, COUNTBLANK
      • MAX, MIN, Vlookup, HLookup
    • Understanding References
      • Understanding References
      • Relative References
      • Absolute References
      • Mixed References
      • Utilizing names for writing formulae.
    • Filtering / Sorting
      • Filtering and Sorting
      • Concept and Implementation
    • Logical Functions
      • If Function
      • AND, OR Function
      • Nested Functions
    • Conditional Formatting
      • Create Conditional Formatting
      • Rule 1 to 6
    • Creating Dropdown List
      • Simple Dropdown List
      • Conditional Dropdown List
    • Date & Time Functions
      • TODAY, NOW
      • DAY, MONTH, YEAR
      • WEEKDAY
    • Working with PivotTables Charts
      • Creating Pivot Table
      • Exploring Table Design Tab
      • Slicers
      • Creating Chart
      • Formatting Chart
      • Using AI and ChatGPT in MS Excel -New
    • Module 1: Understanding Analytics & Business Intelligence (BI) Concept
      • Data & Analytics
      • Introduction to Business Intelligence
      • Importance of Business Intelligence
      • Overview of Self-Service BI
    • Module 2: Microsoft Power BI Introduction
      • Power BI introduction and Overview
      • Power BI Desktop – Installation
      • Explain Power BI Desktop
      • Power BI Screen Elements and Toolbars
    • Module 3: Connecting Power BI with Different Data Source
      • Connect to CSV files in Power BI
      • Connect to Excel in Power BI
      • Connect to PDF in Power BI
      • Connect to Web Page in Power BI
    • Module 4: Data Cleaning with Power Query
      • Power Query Introduction
      • Query Editor interface
      • Column Transformations
      • Combining Data: Append Query
      • Combining Data: Merge Query
      • Number, Date and Time Calculations
      • Text Transformation
      • Sorting & Filters Data
      • Splitting & Merging Data
      • Transforms Data
      • Pivot and Unpivot Data
      • Adding Columns
      • M Built-in Function
    • Module 5: Data Modelling in Power BI
      • What is a PowerPivot?
      • What Is a Data Model?
      • What is a Relationship?
      • Introduction to DAX
      • Detecting and Creating Relationships of Tables
      • Understanding the Star Schema
      • Creating Calculated Columns
      • Creating Tables
      • Creating Measure
      • Row Context vs Set Context
      • Working with DAX Functions
      • Getting Data from Related Tables
    • Module 6: Creating Report & Visualization Type in Power BI
      • Create a New Power BI Report
      • Report Editor in Power BI
      • Add, Rename, Delete & Duplicate Page to Power BI Report
      • Save Report in Power BI
      • Change how visuals interact in a report
      • Open a Power BI in Reading View
      • Page Display Setting in Power BI report
      • Type of Visualization in Power BI Report (Bar, Column, Line, Area, Ribbon, Pie, Scatter, Tree Map, Waterfall, Combo, Funnel, KPI, Radial Gauge, Doughnut Chart)
      • Data Categories, Geo-Data and Maps
      • Creating and Working with Tables and Matrix Views
      • Customizing Visuals by Field, Format & Analytic
      • Filtering Visual, Page, All Pages
      • Using Interactive Slicers – Dropdowns and Searches
      • Number, Date, Text Slicers
      • Applying Conditional Formats to Visualizations
      • Drill Visualizations to see underlying Data
      • Date Hierarchies
      • Show Values as and Quick Measures
      • Custom Visualization in Power BI
      • Selection Pane
      • Lock Objects
      • Adding Graphics
      • Bookmarks
      • Spotlight
      • Report Themes
      • Using Security by Creating Role-Based Views
      • Insight – Explain Increase/Decrease
      • Export Power BI Data to CSV
    • Module 7: Creating a Power BI Dashboard
      • Dashboard vs Reports
      • Creating a Power BI Dashboard
      • Dashboard Tiles in Power BI
      • Pin a Tiles to Power BI Dashboard from a report
      • Power BI publisher in Excel
      • Data alert in Power BI Service
      • Add Image, Text box, Video or web code to your dashboard
      • Tips for designing a great Power BI Dashboard
      • Create Phone View of a Dashboard
      • Power BI Q&A
      • Quick Insights with Power BI
    • Module 8: Refreshing Data
      • Configure schedule refresh data
      • Refresh a dataset created from Power BI Desktop (Local)
      • Refresh a dataset created from Power BI Desktop (Cloud)
      • Disable privacy setting
    • Working with Name Range: –
      • What does naming a cell range mean?
      • Rules for naming cells and ranges
      • Naming cell range(s) in a worksheet
      • Navigating through workbooks using named ranges
      • Creating named ranges automatically based on cell values
    • Numeric/Statistial Functions/ Lookup Function:-
      • SUM, SUMIF, SUMIFS
      • AVERAGE, AVERAGEIF, AVERAGEIFS
      • COUNT, COUNTIF, COUNTA, COUNTBLANK
      • MAX, MIN, Vlookup, HLookup
    • Understanding References
      • Understanding References
      • Relative References
      • Absolute References
      • Mixed References
      • Utilizing names for writing formulae.
    • Filtering / Sorting
      • Filtering and Sorting
      • Concept and Implementation
    • Logical Functions
      • If Function
      • AND, OR Function
      • Nested Functions
    • Conditional Formatting
      • Create Conditional Formatting
      • Rule 1 to 6
    • Creating Dropdown List
      • Simple Dropdown List
      • Conditional Dropdown List
    • Date & Time Functions
      • TODAY, NOW
      • DAY, MONTH, YEAR
      • WEEKDAY
    • Working with PivotTables Charts
      • Creating Pivot Table
      • Exploring Table Design Tab
      • Slicers
      • Creating Chart
      • Formatting Chart
      • Using AI and ChatGPT in MS Excel -New

    Module 1: Understanding Analytics & Business Intelligence (BI) Concept

    This module will guide the candidate through the basics of Analytics. Learn about the Data & Analytics

    • Data & Analytics
    • Introduction to Business Intelligence
    • Importance of Business Intelligence
    • Overview of Self-Service BI

    Module 2: Microsoft Power BI Introduction

    • Power BI introduction and Overview
    • Power BI Desktop – Installation
    • Explain Power BI Desktop
    • Power BI Screen Elements and Toolbars

    Module 3: Connecting Power BI with Different Data Source

    • Connect to CSV files in Power BI
    • Connect to Excel in Power BI
    • Connect to PDF in Power BI
    • Connect to Web Page in Power BI

    Module 4: Data Cleaning with Power Query

    • Power Query Introduction
    • Query Editor interface
    • Column Transformations
    • Combining Data: Append Query
    • Combining Data: Merge Query
    • Number, Date and Time Calculations
    • Text Transformation
    • Sorting & Filters Data
    • Splitting & Merging Data
    • Transforms Data
    • Pivot and Unpivot Data
    • Adding Columns
    • M Built-in Function

    Module 5: Data Modelling in Power BI

    • What is a PowerPivot?
    • What Is a Data Model?
    • What is a Relationship?
    • Introduction to DAX
    • Detecting and Creating Relationships of Tables
    • Understanding the Star Schema
    • Creating Calculated Columns
    • Creating Tables
    • Creating Measure
    • Row Context vs Set Context
    • Working with DAX Functions
    • Getting Data from Related Tables

    Module 6: Creating Report & Visualization Type in Power BI

    • Create a New Power BI Report
    • Report Editor in Power BI
    • Add, Rename, Delete & Duplicate Page to Power BI Report
    • Save Report in Power BI
    • Change how visuals interact in a report
    • Open a Power BI in Reading View
    • Page Display Setting in Power BI report
    • Type of Visualization in Power BI ReportAdding Visuals
      (Bar, Column, Line, Area, Ribbon, Pie, Scatter, Tree Map, Waterfall, Combo,
      Funnel, KPI, Radial Gauge, Doughnut Chart etc.)
    • Data Categories, Geo-Data and Maps
    • Creating and Working with Tables and Matrix Views
    • Customizing Visuals by Field, Format & Analytic
    • Filtering Visual, Page, All Pages
    • Using Interactive Slicers – Dropdowns and Searches
    • Number, Date, Text Slicers
    • Applying Conditional Formats to Visualizations
    • Drill Visualizations to see underlying Data
    • Date Hierarchies
    • Show Values as and Quick Measures
    • Custom Visualization in Power BI
    • Selection Pane
    • Lock Objects
    • Adding Graphics
    • Bookmarks
    • Spotlight
    • Report Themes
    • Using Security by Creating Role Based Views
    • Insight – Explain Increase/Decrease
    • Export Power BI Data to CSV

    Module 7: Creating a Power BI Dashboard

    • Dashboard vs Reports
    • Creating a Power BI Dashboard
    • Dashboard Tiles in Power BI
    • Pin a Tiles to Power BI Dashboard from a report
    • Power BI publisher in Excel
    • Data alert in Power BI Service
    • Add Image, Text box, Video or web code to your dashboard
    • Tips for designing a great Power BI Dashboard
    • Create Phone View of a Dashboard
    • Power BI Q&A
    • Quick Insights with Power BI

    Module 8: Refreshing Data

    • Configure schedule refresh data
    • Refresh a dataset created from Power BI Desktop (Local)
    • Refresh a dataset created from Power BI Desktop (Cloud)
    • Disable privacy setting

    Why CFI Education

    Case Study Approach

    Real life cases for most effective and skill based learning.

    educators
    Passionate Educators

    Highly experienced instructors who bring real business problems to the classroom.

    Individual Attention

    Focus on building technical expertise and ensure the learning of all candidates.

    Capstone Projects

    A month long project work post classroom sessions to gain confidence in their domain area.

    Soft Skill Development

    Helps candidates in understanding best practices and soft skills development for cracking interviews.

    100% Placement Assistance

    Have a dedicated team of placement who work towards, CV building and scheduling interviews.

    Power BI Program - Course Fee

    Classroom / Live Online Self-Paced
    INR 18000 INR 9999
    Classroom / Live Zoom Yes
    Class Recordings Yes Yes
    Detailed Study Material Yes Yes
    Case Studies Yes Yes
    App Access (Android) Yes Yes
    Live Doubts Sessions Yes
    Whatsapp Group Yes
    Email Support Yes
    BUY NOW BUY NOW

    100% Placement Support*

    CFI Education provides placement assistance to all the candidates who complete our in-house Financial Modeling or Investment banking programs. Apart from technical classroom training, we prepare candidates for soft skills, and conduct mock interviews. Once they feel confident, they can start applying for various job opportunities provided by our dedicated placement team. The placement process is usually start at 8th week of the training program.

    We charge a placement fee of 5% of annual fixed ctc. This fee is applicable only when candidates is selected through our placement team efforts and accepts the job offer. Contact our team to know more about how CFI Education can help you launch your career in core finance domain.

    After completing Power BI course, students will be able to pursue diverse and rewarding career paths across various industries including:

    1. Business Analyst:

    Business analysts bridge the gap between business needs and technological solutions. With a strong understanding of both business strategy and data analysis, you can analyze processes, identify areas for improvement, and recommend data-driven solutions.

    2. Business Intelligence Analyst:

    Specializing in business intelligence, you'll focus on collecting, analyzing, and visualizing data to help businesses gain insights into their operations, customers, and market trends.

    3. Data Scientist:

    For those interested in a more advanced role, data science involves using machine learning and advanced statistical Techniques to extract deeper insights and predict future trends, contributing to strategic decision-making.

    4. Market Research Analyst:

    Leveraging your skills in data analysis, you can work as a market research analyst, helping companies understand market trends, consumer behavior, and competitive landscapes.

    5. Operations Analyst:

    Operations analysts use data to optimize business processes and improve efficiency. Your skills in data analysis can help organizations streamline operations and reduce costs.

    6. Consultant:

    With expertise in both business and data analysis, you can work as a consultant, advising organizations on optimizing their operations, implementing data-driven strategies, and solving complex business challenges.

    Success Stories

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