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

Easy way to IT Job

Power BI Course in OMR

(1987)
Live Online & Classroom Training
EMI
0% Interest

Join our Power BI Training in OMR at SLA Institute to unlock the power of data visualization and business intelligence. This course is designed for individuals looking to enhance their skills in data analysis and reporting. You will learn how to create interactive dashboards, perform data modeling, and visualize complex data sets effectively. Our experienced instructors will guide you through hands-on projects, ensuring you gain practical experience that is valuable in the workplace. Additionally, with our Power BI Course in OMR with Certifications and Placements, you’ll receive job placement support, helping you secure exciting career opportunities in data analytics and business intelligence. Enroll today and start your journey toward becoming a proficient Power BI professional!

At SLA Institute, we guarantee placement in a high-paying Developer job with the support of our experienced placement officers. Our Power BI Course Syllabus covers all essential topics, providing you with a comprehensive understanding of Power BI.

Recommended: Web Designing Course in OMR! Learn how to create beautiful websites, work on practical projects, and get help finding a job to start your career in web design!

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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
April 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
April 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 Course in OMR

The Power BI Course in OMR aims to help you become proficient in Power BI. Throughout the course, you’ll:

  • Learn the Basics: Understand the main features and tools of Power BI for analyzing and visualizing data.
  • Connect to Data: Discover how to connect Power BI to different data sources like databases, Excel files, and online services.
  • Transform Data: Learn how to clean and shape data using Power Query to make it ready for analysis.
  • Create Visuals: Develop skills to make engaging charts, graphs, and dashboards that display data clearly.
  • Build Reports: Learn to create complete reports that effectively share data insights with others.
  • Share Your Work: Understand how to publish and share your Power BI reports and dashboards for others to access.
  • Apply Your Skills: Work on real-world projects to improve your problem-solving skills and understanding of data analysis in business.

Recommended: Join our Data Analytics Training in OMR, Chennai! Learn how to work with data, gain hands-on experience with real projects, and get help with job placement to start your data analytics career!

Future Scope of Power BI Course in OMR

Growing Demand for Data Analysts

The demand for data analysts and business intelligence professionals is increasing across various industries. Organizations are recognizing the importance of data-driven decision-making, which makes skills in Power BI highly sought after. Completing a Power BI course prepares individuals for these in-demand roles.

Enhanced Career Opportunities

Professionals with Power BI skills can explore a variety of career paths, including Data Analyst, Business Intelligence Developer, Data Visualization Specialist, and Analytics Consultant. These roles offer promising career growth and competitive salaries, making Power BI an excellent addition to one’s skill set.

Integration with Other Tools

Power BI integrates well with other Microsoft tools like Excel, Azure, and SQL Server, enhancing its utility in organizations. As businesses continue to adopt cloud-based solutions and advanced analytics, proficiency in Power BI can significantly boost an individual’s marketability and career prospects.

Continuous Updates and Features

Microsoft frequently updates Power BI, introducing new features and enhancements. This commitment to innovation ensures that professionals who are trained in Power BI stay relevant in the fast-evolving field of data analytics, as they can leverage the latest functionalities to deliver better insights.

Applications Across Industries

Power BI is used in various sectors, including finance, healthcare, retail, and education, for reporting and data visualization. This versatility means that individuals trained in Power BI can find opportunities in multiple fields, broadening their career scope and potential job market.

Recommended: Boost your career with our MSBI Training in OMR! Get practical experience, expert support, and open doors to job opportunities in Business Intelligence. Sign up now and start learning!

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 Training in OMR at SLA Institute and launch your career in data analytics! Our course covers everything from the basics of Power BI to advanced features. You’ll learn how to visualize data, create interactive reports, and connect to various data sources. With hands-on projects and strong job placement support, you’ll gain the practical skills that employers demand. Our expert instructors will assist you throughout the course, making sure you are ready for a successful career in IT. Sign up today and discover the amazing job opportunities available through SLA Institute’s Power BI Training in OMR!

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 1Sales Dashboard Project

Create a comprehensive sales dashboard that visualizes key performance indicators (KPIs), such as revenue, sales trends, and product performance, using sample sales data to analyze business performance.

Project 2Customer Analytics Report

Develop an interactive report to analyze customer demographics, purchasing behaviors, and satisfaction levels. Use Power BI’s visualizations to present insights 

and help businesses improve customer engagement strategies.

Project 3Financial Performance Analysis

Build a financial performance dashboard that tracks expenses, profits, and forecasts. Utilize various visualizations to provide insights into financial health and guide strategic decision-making.

Project 4Marketing Campaign Effectiveness

Design a report to evaluate the effectiveness of marketing campaigns. Analyze metrics such as conversion rates, customer acquisition costs, and ROI to recommend future marketing strategies.

Prerequisites for learning Power BI Course in OMR

To join our Power BI Training in OMR 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: Familiarity with using a computer, navigating software, and managing files is essential.
  • Understanding of Data: A basic knowledge of data concepts, including what databases and spreadsheets are, will be beneficial.
  • Excel Proficiency: Knowing how to use Microsoft Excel for data manipulation and analysis is advantageous, as Power BI builds upon these skills.
  • Analytical Thinking: Strong analytical skills will help you make sense of data and derive insights from it.
  • Interest in Data Visualization: A keen interest in representing data visually will enhance your learning experience in Power BI.
  • Basic Knowledge of SQL: While not mandatory, understanding basic SQL queries can provide a head start in data retrieval for analysis.

Our Power BI Course in OMR 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 Course in OMR

In the Power BI Training in OMR at SLA Institute, participants acquire crucial skills for analyzing data and creating insightful reports, preparing them for diverse positions in Business Intelligence and Data Analytics.

Power BI Developer

  • Responsibilities: Design and develop interactive Power BI reports and dashboards, manage data sources, and implement data visualization best practices.
  • Salary: ₹6,00,000 – ₹10,00,000 per annum.

Business Intelligence Analyst

  • Responsibilities: Analyze business data and generate actionable insights, prepare detailed reports, and collaborate with stakeholders to identify trends and business opportunities.
  • Salary: ₹5,00,000 – ₹8,00,000 per annum.

Recommended: Join our Business Intelligence and Data Analytics Course in OMR! Learn to analyze data, make smart business decisions, and work on real-world projects. Enroll today to advance your career!

Data Analyst

  • Responsibilities: Collect, process, and analyze data to help businesses make informed decisions. Create visualizations in Power BI to present findings.
  • Salary: ₹4,00,000 – ₹7,00,000 per annum.

BI Consultant

  • Responsibilities: Provide expert guidance on BI solutions, assist clients in implementing Power BI tools, and customize reports based on client needs.
  • Salary: ₹7,00,000 – ₹12,00,000 per annum.

Data Scientist

  • Responsibilities: Analyze complex data sets, build predictive models, and utilize Power BI to visualize results and present findings to stakeholders.
  • Salary: ₹8,00,000 – ₹15,00,000 per annum.

Data Engineer

  • Responsibilities: Develop and maintain data pipelines, ensure data quality, and support data integration efforts for reporting and analytics using Power BI.
  • Salary: ₹7,00,000 – ₹13,00,000 per annum.

Recommended: Enroll in our Data Science Training in OMR! Gain practical skills, work on real-world projects, and get job placement support to start your career in data science. Sign up today!

These roles reflect the diverse career opportunities available for professionals with Power BI training, each offering unique responsibilities and competitive salaries.

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 analytics tool by Microsoft that enables users to visualize data, share insights, and create interactive reports and dashboards for better decision-making and performance analysis.

Is Power BI easy or hard?

Power BI is generally considered easy to use, especially for beginners. Its intuitive interface and extensive online resources make it accessible. However, mastering advanced features may require more effort and practice.

What is Power BI used for?

Power BI is used for data visualization and business intelligence. It helps users analyze data, create interactive reports and dashboards, and share insights across organizations to support decision-making.

Is Power BI enough to get a job?

Yes, Power BI skills can help you secure a job, especially in roles related to data analysis, business intelligence, and reporting. However, additional skills and experience may be beneficial.

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 good career?

Yes, a career in Power BI is promising. As businesses increasingly rely on data-driven decisions, professionals skilled in Power BI are in high demand, offering competitive salaries and growth opportunities.

Does SLA Institute provide Lifetime Placement Support?

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

On Average Students Rated The Power BI Course 5.00/5.0
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