Software Training Institute in Chennai with 100% Placements – SLA Institute

Easy way to IT Job

Power BI Online Course

(2941)
Live Online & Classroom Training
EMI
0% Interest

Looking to master data visualization and analytics? Join the Power BI Online Course at SLA Institute and transform the way you analyze and present data!

This course is ideal for both beginners and professionals, covering foundational topics such as Power BI interface navigation, data modeling, and DAX (Data Analysis Expressions), as well as advanced concepts like interactive dashboards, custom visuals, and real-time data integration. With hands-on projects and expert guidance, you’ll learn to create impactful reports and dashboards that empower data-driven decision-making. Whether you’re aspiring to become a data analyst or enhance your reporting skills, this course equips you to excel in today’s data-centric world.

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+91 89256 88858

Upcoming Batches

Hands On Training
3-5 Real Time Projects
60-100 Practical Assignments
3+ Assessments / Mock Interviews
March 2025
Week days
(Mon-Fri)
Online/Offline

2 Hours Real Time Interactive Technical Training 

1 Hour Aptitude 

1 Hour Communication & Soft Skills

(Suitable for Fresh Jobseekers / Non IT to IT transition)

Course Fee
March 2025
Week ends
(Sat-Sun)
Online/Offline

4 Hours Real Time Interactive Technical Training

(Suitable for working IT Professionals)

Course Fee

Save up to 20% in your Course Fee on our Job Seeker Course Series

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Quick Enquiry

Placement

100% Assistance

Learning

Job-Centered Approach

Timings

Convenient Hrs

Mode

Online & Classroom

Certification

Industry-Accredited

This Course Includes

  • FREE Demo Class
  • 0% EMI Loan Facilities
  • FREE Softskill & Placement Training
  • Tie up with more than 500+ MNCs & Medium Level Companies
  • 100% FREE Placement Assistance
  • Course Completion Certificate
  • Training with Real Time Projects
  • Industry-Based Coaching By MNC IT Professionals
Let's Get Started

Expected Criteria for Assured Placement

The following criteria help the placement team guide the candidates to get placed immediately after the course completion through SLA Institute.

  • 80% of coursework completion helps us arrange interviews in required companies.
  • 2 or 3 projects to be done for the selected course to ace the technical round effectively.
  • Ensure attending the placement training right from the first day of the selected course.
  • Practice well with resume building, soft skill, aptitude skill, and profile strengthening.
  • Utilize the internship training program at SLA for the complete technical skills.
  • Collect the course completion certificate and update the copy to the placement team.
  • Ensure your performance indicator meets the expectation of top companies.
  • Always be ready with the updated resume that includes project details done at SLA.
  • Enjoy unlimited interview arrangements along with internal mock interviews.
Have Queries? Ask our Experts

+91 89256 88858

SLA's Distinctive Placement Approach

1

Tech Courses

2

Expert Mentors

3

Assignments & Projects

4

Grooming sessions

5

Mock Interviews

6

Placements

Objectives of Power BI Online Course

The Power BI Online Course at SLA Institute is designed to equip learners with the skills and knowledge needed to master data visualization and business intelligence. The main objectives of the course are:

  1. Learn the Basics of Power BI: Understand the Power BI interface, tools, and features to build a strong foundation.
  2. Master Data Connectivity and Modeling: Learn to connect to various data sources and create effective data models for analysis.
  3. Understand Data Transformation: Use Power Query to clean, shape, and transform raw data into usable formats.
  4. Gain Proficiency in DAX (Data Analysis Expressions): Write DAX formulas to create calculated columns, measures, and advanced data calculations.
  5. Create Interactive Reports and Dashboards: Build visually appealing and interactive dashboards that provide actionable insights.
  6. Integrate Real-Time Data: Learn to work with real-time data for live dashboards and reports.

Recommended: Enroll in our Data Analytics Course in Chennai to learn key skills with expert guidance and 100% placement support. Start today!

Future Scope of Power BI Online Course

Increasing Need for Data Insights

As businesses rely more on data to make decisions, the demand for tools like Power BI is growing. Power BI helps turn complex data into simple reports and dashboards, helping companies make better decisions. This trend is expected to continue, creating many job opportunities for those skilled in Power BI.

Growth in Business Intelligence

Power BI is a top tool in business intelligence (BI) and data analysis. As companies focus more on data-driven decisions, the need for professionals who can analyze and present data effectively will increase. This makes Power BI skills highly valuable for careers in BI, data analysis, and reporting.

Integration with Microsoft Tools

Power BI works well with other Microsoft tools like Excel, Azure, and SharePoint. As more companies use Microsoft products, there will be a greater demand for Power BI experts who can integrate these tools into business processes.

Check out: Advanced Excel Course in Chennai

Opportunities in Real-Time and Cloud Data

The need for real-time data and cloud solutions is growing, and Power BI excels in both areas. Its cloud service allows users to access live data and create up-to-date dashboards. This makes Power BI especially useful for industries like finance, retail, and healthcare, creating more job opportunities for Power BI professionals.

Expanding Use in Small Businesses

Power BI is not just for large companies; it is also a great tool for small and medium businesses (SMEs). Its affordability and ease of use make it attractive to these businesses for reporting and data analysis. As more SMEs start using Power BI, the demand for Power BI skills will grow across different types of businesses.

Achieve Your Goals With SLA

SLA builds your future with comprehensive coursework and unparalleled placement support.
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Power BI Course Syllabus

Download Syllabus

Join our Power BI Online Training to learn how to analyze and visualize data effectively. Start with the basics of Power BI, including creating reports and dashboards, and progress to advanced topics like data modeling and Power Query. Work on real-life projects to strengthen your skills and gain confidence. With expert instructors at SLA Institute, you’ll be ready to turn data into valuable insights. Enroll today and take the first step towards a successful career in data analysis!

Introduction To Power BI
  • Introduction to Power BI – Need, Imprtance
  • Power BI – Advantages and Scalable Options
  • History – Power View, Power Query, Power Pivot
  • Power BI Data Source Library and DW Files
  • Cloud Colloboration and Usage Scope
  • Business Analyst Tools, MS Cloud Tools
  • Power BI Installation and Cloud Account
  • Power BI Cloud and Power BI Service
  • Power BI Architecture and Data Access
  • OnPremise Data Acces and Microsoft On Drive
  • Power BI Desktop – Instalation, Usage
  • Sample Reports and Visualization Controls
  • Power BI Cloud Account Configuration
  • Understanding Desktop & Mobile Editions
  • Report Rendering Options and End User Access
  • Power View and Power Map. Power BI Licenses
  • Course Plan – Power BI Online Training
Creating POWER BI Reports, Auto Filters
  • Report Design with Legacy & .DAT Files
  • Report Design with Databse Tables
  • Understanding Power BI Report Designer
  • Report Canvas, Report Pages: Creation, Renames
  • Report Visuals, Fields and UI Options
  • 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
  • Report View Options: Full, Fit Page, Width Scale
  • Report Design using Databases & Queries
  • Query Settings and Data Preloads
  • Navigation Options and Report Refresh
  • Stacked bar chart, Stacked column chart
  • Clustered bar chart, Clustered column chart
  • Adding Report Titles. Report Format Options
  • Focus Mode, Explore and Export Settings
Report Visualization And Properties
  • Power BI Design: Canvas, Visualizations and Fileds
  • Import Data Options with Power BI Model, Advantages
  • Direct Query Options and Real-time (LIVE) Data Access
  • Data Fields and Filters with Visualizations
  • Visualization Filters, Page Filters, Report Filters
  • Conditional Filters and Clearing. Testing Sets
  • Creating Customised Tables with Power BI Editor
  • General Properties, Sizing, Dimensions, and Positions
  • Alternate Text and Tiles. Header (Column, Row) Properties
  • Grid Properties (Vertical, Horizontal) and Styles
  • Table Styles & Alternate Row Colors – Static, Dynamic
  • Sparse, Flashy Rows, Condensed Table Reports. Focus Mode
  • Totals Computations, Background. Boders 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
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
  • 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
  • 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
  • Preordered Attribute Collection – Advantages
  • Using Field Hierarchies with Chart Reports
  • Advanced Query Mode @ Connection Settings – Options
  • Direct Import and In-memory Loads, Advantages
Hierarchies And Drilldown Reports
  • Hierarchies and Drilldown 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
  • DRILLDOWN, SHOWNEXTLEVEL, EXPANDTONEXTLEVEL
  • SEE DATA and SEE RECORDS Options. Differences
  • Toggle Options with Tabular Data. Filters
  • Drilldown Buttons and Mouse Hover Options @ Visuals
  • Dependant Aggregations, Independant Aggregations
  • Automated Records Selection with Tabular Data
  • Report Parameters : Creation and Data Type
  • Available Values and Default values. Member Values
  • Parameters for Column Data and Table / Query Filters
  • Parameters Creation – Query Mode, UI Option
  • Linking Parameters to Query Columns – Options
  • Edit Query Options and Parameter Manage Entries
  • Connection Parameters and Dynamic Data Sources
  • Synonyms – Creation and Usage Options
Power Query & M Language
  • Understanding Power Query Editor – Options
  • Power BI Interface and Query / Dataset Edits
  • Working with Empty Tables and Load / Edits
  • Empty Table Names and Header Row Promotions
  • Undo Headers Options. Blank Columns Detection
  • Data Imports and Query Marking in Query Editor
  • JSON Files & Binary Formats with Power Query
  • JavaScript Object Notation – Usage with M Lang.
  • Applied Steps and Usage Options. Revert Options
  • creating Query Groups and Query References. Usage
  • Query Rename, Load Enable and Data Refresh Options
  • Combine Queries – Merge Join and Anti-Join Options
  • Combine Queries – Union and Union All as New Dataset
  • M Language : NestedJoin and JoinKind Functions
  • REPLACE, REMOVE ROWS, REMOVE COL, BLANK – M Lang
  • Column Splits and FilledUp / FilledDown Options
  • Query Hide and Change Type Options. Code Generation
DAX EXPRESSIONS – Level 1
  • Purpose of Data Analysis Expresssions (DAX)
  • Scope of Usage with DAX. Usabilty Options
  • DAX Context : Row Context and Filter Context
  • DAX Entities : Calculated Columns and Measures
  • DAX Data Types : Numeric, Boolean, Variant, Currency
  • Datetime Data Tye with DAX. Comparison with Excel
  • DAX Operators & Symbols. Usage. Operator Priority
  • Parenthesis, Comparison, Arthmetic, Text, Logic
  • DAX Functions and Types: Table Valued Functions
  • Filter, Aggregation and Time Intelligence Functions
  • Information Functions, Logical, Parent-Child Functions
  • Statistical and Text Functions. Formulas and Queries
  • Syntax Requirements with DAX. Differences with Excel
  • Naming Conventions and DAX Format Representation
  • Working with Special Characters in Table Names
  • Attribute / Column Scope with DAX – Examples
  • Measure / Column Scope with DAX – Examples
DAX EXPRESSIONS – Level 2
  • YTD, QTD, MTD Calculations with DAX
  • DAX Calculations and Measures
  • Using TOPN, RANKX, RANK.EQ
  • Computations using STDEV & VAR
  • SAMPLE Function, COUNTALL, ISERROR
  • ISTEXT, DATEFORMAT, TIMEFORMAT
  • Time Intelligence Functions with DAX
  • Data Analysis Expressions and Functions
  • DATESYTD, DATESQTD, DATESMTD
  • ENDOFYEAR, ENDOFQUARTER,ENDOFMONTH
  • FIRSTDATE, LASTDATE, DATESBETWEEN
  • CLOSINGBALANCEYEAR,CLOSINGBALANCEQTR
  • SAMEPERIOD and PREVIOUSMONTH,QUARTER
  • KPIs with DAX. Vertipaq Queries in DAX
  • IF..ELSEIF.. Conditions with DAX
  • Slicing and Dicing Options with Columns, Measures
  • DAX for Query Extraction, Data Mashup Operations
  • Calcualted COlumns and Calculated Measures with DAX
Power BI Deployment & Cloud
  • PowerBI Report Validation and Publish
  • Understanding PowerBI Cloud Architecture
  • PowerBI Cloud Account and Workspace
  • Reports and DataSet Items Validation
  • Dashboards and Pins – Real-time Usage
  • Dynamic Data Sources and Encryptions
  • Personal and Organizational Content Packs
  • Gateways, Subscriptions, Mobile Reports
  • Data Refresh with Power BI Architecture
  • PBIX and PBIT Files with Power BI – Usage
  • Visual Data Imprts and Visual Schemas
  • Cloud and On-Premise Data Sources
  • How PowerBI Supports Data Model?
  • Relation between Dashbaords to Reports
  • Relation between Datasets to Reports
  • Relation between Datasets to Dashbaords
  • Page to Report – Mapping Options
  • Publish Options and Data Import Options
  • Need for PINS @ Visuals and PINS @ Reports
  • Need for Data Streams and Cloud Intergration
Power BI Cloud Operations
  • Report Publish Options and Verifications
  • Working with Power BI Cloud Interface & Options
  • Navigation Paths with “My Workspace” Screens
  • FILE, VIEW, EDIT REPORTS, ACCESS, DRILLDOWN
  • Saving Reports into pdf, pptx, etc. Report Embed
  • Report Rendering and EDIT, SAVE, Print Options
  • Report PIN and individual Visual PIN Options
  • Create and Use Dashboards. Menu Options
  • Goto Dashboard and Goto LIVE Page Options
  • Operations on Pinned Reports and Visuals
  • TITLE, MEDIA, USAGE METRICS & FAVOURITES
  • SUBSCRIPTION Options and Reports with Mobile View
  • Options with Report Page : Print and Subscribe
  • Report Actions: USAGE METRICS, ANALYSE IN EXCEL
  • Report Actions: RELATED ITEMS, RENAME, DELETE
  • Dashboard Actions: METRICS, RELATED ITEMS
  • Dashboard Actions: SETTINGS FOR Q & A, DELETE
  • PIN Actions: METRICS, SHARE, RELATED ITEMS
  • PIN Actions: SETTINGS FOR Q & A, DELETE
  • EDIT DASHBOARD (CLOUD), On-The-Fly Reports
  • Dataset Actions: CREATE REPORT, REFRESH
  • SCHEDULED REFRESH & RELATED ITEMS
  • Dashboard Integration with Apps in Power BI
Improving Power BI Reports
  • Publish PowerBI Report Templates
  • Import and Export Options with Power BI
  • Dataset Navigations and Report Navigations
  • Quick Navigation Options with “My Workspace”
  • Dashboards, Workbooks, Reports, Datasets
  • Working with MY WORK SPACE group
  • Installing the Power BI Personal Gateway
  • Automatic Refresh – Possible Issues
  • Adding images to the dashboards
  • Reading & Editing Power BI Views
  • Power BI Templates (pbit)- Creation, Usage
  • Managing report in Power BI Services
  • PowerBI Gateway – Download and Installation
  • Personal and Enterprise Gateway Features
  • PowerBI Settings : Dataset – Gateway Integration
  • Configuring Dataset for Manual Refresh of Data
  • Configuring Automatic Refresh and Schdules
  • Workbooks and Alerts with Power BI
  • Dataset Actions and Refresh Settings with Gateway
  • Using natural Language Q&A to data – Cortana
Insights And Subscriptions
  • Data Navigation Paths and Data Splits
  • Getting data from existing systems
  • Data Refresh and LIVE Connections
  • pbit and pbix : differences. Usage Options
  • Quick Insights For Power BI Reports
  • Quick Insights For PowerBI Dashboads
  • Generating Insights with Cloud Datasets
  • Generarting Reports with Cloud Datasets
  • Using relational databases on-premises
  • Using relational databases in the cloud
  • Consuming a service content pack
  • Creating a custom data set from a service
  • Creating a content pack for your organization
  • Consuming an organizational content pack
  • Updating an organizational content pack
  • Adding Tiles : Images, Videos, DataStreams
  • Creating New Reports from Cortana, Advantages
Power BI Integration Elements
  • SSRS Integration with Power BI
  • SSRS Report Portal URL to Power BI Cloud
  • Power BI KPI Reports Vs SSRS KPI Reports
  • Convering and Working with Mobile Reports
  • Report Buidler Reports to Powert BI
  • Generating QR Codes and Report Security
  • Reporting JSON Files, Bulk Data Loads
  • Creating high-density Reports in Power BI
  • OLAP DataSources in Power BI
  • Using MDX Queries with PowerBI Queries
  • MDX SELECT and Perspective Access
  • KPIs and MDX Expressions with Power BI
  • MDX Queries and Filters with Power BI
  • Linked Servers and T-SQL SPROCs with MDX
  • YTD, PARALLELPERIOD,SCOPE, ALLMEMBERS
  • WHERE, EXCEPT, RANGE, NONEMPTY
  • CURRENT & EMPTY, AND / OR, LEFT / RIGHT
  • Implementing Row Level Security (RLS)
  • Security Roles and Role Members. Tests
  • Using R for Power BI, Streaming DataSets
  • Azure Connections with PowerBI Desktop
  • PowerBI Reports using SQL Azure DBs

Project Practices on Power BI Training

Project 1E-commerce Sales Dashboard

Create a Power BI dashboard to track e-commerce sales performance, including key metrics like revenue, number of orders, top-selling products, and customer demographics for strategic insights.

Project 2Website Traffic Analysis

Design a Power BI report to visualize website traffic data, including metrics such as page views, bounce rates, traffic sources, and user demographics, to help optimize digital marketing strategies.

Project 3Budget vs. Actual Expenses Report

Build a financial report in Power BI comparing planned budget versus actual expenses. Track spending across departments, highlight variances, and provide insights for better financial planning.

Project 4Supply Chain Performance Dashboard

Develop a Power BI dashboard to monitor supply chain performance, including inventory levels, order fulfillment rates, delivery times, and supplier performance, for improved logistics management.

Prerequisites for learning Power BI Online Course

To join our Power BI Online Training at SLA Institute, no specific prior knowledge is required. Whether you’re new to programming or have some experience, everyone is welcome. However, having a foundational understanding of the following can be beneficial:

  • Basic Computer Skills: Know how to use a computer and navigate Windows.
  • Basic Excel Knowledge: Familiarity with using Excel, like working with data, making simple charts, and using basic formulas.
  • Understanding of Data: A basic understanding of data, such as tables, rows, and columns.
  • Logical Thinking: Ability to think through problems and organize data to create reports.
  • Interest in Data Analysis: A willingness to learn how to analyze and visualize data using Power BI.
  • Internet Access: A stable internet connection to access course content and resources.
  • Power BI Desktop: Some basic knowledge of installing and using Power BI Desktop (the course will guide you through this).

Our Power BI Online Course is ideal to:

  • Students eager to excel in Power BI
  • Professionals considering transitioning to Power BI careers
  • IT professionals aspiring to enhance their Power BI skills
  • Data Analysts enthusiastic about expanding their expertise
  • Individuals seeking opportunities in Power BI

Job Profile in Power BI Online Course

In the Power BI Online Training at SLA Institute, participants gain key skills for data management roles, with hands-on experience in Power BI to prepare for careers in software development and application management.

Power BI Developer

  • Responsibilities: Create and manage Power BI dashboards and reports, connect data from different sources, improve report performance, and work with teams to understand reporting needs.
  • Salary: ₹6,00,000 – ₹14,00,000 per year (depends on experience and company).

Business Intelligence Analyst

  • Responsibilities: Analyze data trends, generate insights, create Power BI reports, and help teams make decisions based on data.
  • Salary: ₹5,00,000 – ₹12,00,000 per year (varies by location and experience).

Check out our latest Business Intelligence and Data Analytics Training

Data Analyst

  • Responsibilities: Collect and clean data, create reports and charts using Power BI, and assist teams with analyzing data for business decisions.
  • Salary: ₹4,50,000 – ₹10,00,000 per year (depends on experience and location).

Power BI Consultant

  • Responsibilities: Guide clients on how to use Power BI, help integrate it with their existing systems, customize reports, and provide training.
  • Salary: ₹8,00,000 – ₹18,00,000 per year (based on expertise and project size).

Data Engineer

  • Responsibilities: Prepare and organize data for Power BI reports, ensure smooth data flow between systems, and help with building data pipelines.
  • Salary: ₹7,00,000 – ₹16,00,000 per year (depends on experience and industry).

BI Manager

  • Responsibilities: Lead the BI team, manage data strategies, ensure Power BI reports meet business needs, and oversee BI projects.
  • Salary: ₹12,00,000 – ₹25,00,000 per year (depends on experience and company).

These roles present many opportunities in the tech industry, each requiring specific full stack development skills. Completing the Power BI Online Training gives you the knowledge to excel in these positions and advance your web development career.

Recommended: Advance your career with our Java Fullstack Online Course! Learn front-end and back-end skills. Enroll today to become a full stack developer and open new opportunities!

Want to learn with a personalized course curriculum?

The Placement Process at SLA Institute

  • To Foster the employability skills among the students
  • Making the students future-ready
  • Career counseling as and when needed
  • Provide equal chances to all students
  • Providing placement help even after completing the course

Power BI Course FAQ

What is Power BI?

Power BI is a business intelligence tool by Microsoft that helps visualize data, create interactive reports, and gain insights, enabling better decision-making for businesses using real-time and historical data.

Is Power BI easy or hard?

Power BI is easy to learn, especially for those familiar with Excel or data analysis. Its user-friendly interface and drag-and-drop features simplify report creation, but mastering advanced features requires practice.

What is Power BI used for?

Power BI is used to analyze and visualize data, create interactive dashboards and reports, track business performance, and share insights across organizations for better decision-making and strategic planning.

Is Power BI enough to get a job?

Power BI alone may not be enough to get a job, but combined with CSS, JavaScript, and other web development skills, it forms a strong foundation for front-end development roles.

Does SLA Institute have HR personnel?

Yes, SLA Institute has an HR personnel who will look into students issues and grievances.

Does SLA Institute support EMI options?

Yes, SLA Institute supports EMI options with 0% interest.

Is Power BI a good career?

Yes, Power BI is a good career choice. With increasing demand for data-driven decision-making, expertise in Power BI opens opportunities in business intelligence, data analysis, and reporting roles across industries.

Does SLA Institute provide Lifetime Placement Support?

Yes, SLA Institute provides Lifetime Placement Support to assist students in securing job placements throughout their careers.

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