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

Easy way to IT Job

Power BI Course In Chennai

(1360)
Live Online & Classroom Training

Our Power BI Training in Chennai will make students learn some of the most highly regarded concepts in Power BI such as – Deploying and Managing Windows Server 2012, Active Directory Domain Services, Implementing IPv4 etc. This curriculum will surely make students experts in Power BI Course in a shorter span of time. Our Power BI Course with 100% placement support is curated with the help of leading experts from the IT industry, which makes our Power BI Course up-to-date in accordance with the latest trends.

Our SLA Institute is guaranteed to place you in a high-paying Business Intelligence Analyst job with help of our experienced placement officers. SLA Institute’s Course Syllabus for Power BI covers all topics that are guaranteed to give you a complete understanding of the Power BI Course.

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Upcoming Batches

Hands On Training
3-5 Real Time Projects
60-100 Practical Assignments
3+ Assessments / Mock Interviews
July 2024
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
July 2024
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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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
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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 88707 67784

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 Chennai

The main objective of our Power BI Course in Chennai is to make students well-versed completely in Power BI. This Power BI Course will make students grow into successful and most in-demand Business Intelligence Analyst and other related job roles too. SLA Institute’s Power BI Course Curriculum is loaded with a some of the most useful and rare topics that will surely give students a full understanding of Power BI Course, some of those topics are discussed below:

  • The syllabus begins with basic concepts such as – Windows Server 2012 Overview, Overview of AD DS, Managing User Accounts, Using Command-line Tools for Administration etc.
  • The syllabus then starts with mod-range topics like – Overview of TCP/IP, Installing a DHCP Server Role, Name Resolution for Windows Client and Servers, Overview of IPv6 etc.
  • The syllabus then starts with advanced concepts like – Group Policy Scope and Group Policy Processing, Implementing Administrative Templates, Configuring Network Access etc.

Future Scopes for the Power BI Course in Chennai

The below are the scopes for the future for the Power BI Course in Chennai:

  • Diverse Industry Applications: Beyond finance and retail, Power BI will extend its use to sectors like healthcare, manufacturing, and government, empowering organizations to leverage data strategically.
  • Focus on Data Governance and Security: Expect Power BI courses to emphasize best practices in data governance, compliance, and security management amid rising concerns about data privacy.
  • Enhanced Visualization and User Experience: Continuous enhancements in Power BI’s visualization capabilities and user interface will improve accessibility for non-technical stakeholders.
  • High-Paying Job Role: : Learning Power BI will lead to fruitful and high-paying careers. The Power BI Salary in Chennai for freshers and experienced usually ranges from ₹3-17 lakhs annually respectively.

Prerequisites for learning Power BI Course in Chennai

SLA Institute does not demand any prerequisites for any course at all. SLA Institute has courses that cover everything from the fundamentals to advanced topics so whether the candidate is a beginner or an expert they will all be accommodated and taught equally in SLA Institute. However having a fundamental understanding of these concepts below will help you understand the Power BI better, However it is completely optional:

  • Familiarity with Microsoft Excel: Basic proficiency in Excel, including skills like sorting, filtering, and basic formulas, lays a strong foundation for learning Power BI.
  • Basic Knowledge of Business Intelligence: Awareness of business intelligence concepts, including the role of data analysis and reporting in decision-making processes, is beneficial.
  • SQL Knowledge: Some courses may recommend basic SQL knowledge for data querying and manipulation, though it’s not always required for introductory courses.
  • Analytical Thinking: An analytical mindset and a curiosity to explore data and extract insights are valuable for effectively learning and applying Power BI.

Our Power BI Course in Chennai 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
  • Power BI enthusiastic about expanding their expertise
  • Individuals seeking opportunities in the Power BI field.

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Job Profile in Power BI Course in Chennai

After finishing the Power BI Course at SLA Institute, students will be placed in various job roles  across various organizations based on their skills and qualifications. That is why in this below section all the possible Job Profiles for Power BI Course in Chennai are explored in great detail:

  • Business Intelligence Analyst: Analyzes complex data sets to generate insights and facilitate decision-making using Power BI dashboards and reports.
  • Data Analyst: Extracts, cleans, and interprets data with Power BI to uncover actionable insights, supporting organizational strategies and operations.
  • Business Intelligence Developer: Designs and implements Power BI solutions, including data modeling, report creation, and dashboard development tailored to organizational needs.
  • Data Scientist: Applies Power BI alongside other tools for advanced analytics, predictive modeling, and identifying patterns and trends in data.
  • Data Visualization Specialist: Our Power BI Course in Chennai will train students to become a productive data visualization specialist who develops compelling dashboards and reports with Power BI to effectively communicate complex data insights.
  • Financial Analyst: Power BI Course in Chennai makes the course easy to learn so that students end up becoming some of the best Financial Analyst who utilizes Power BI to analyze financial data, monitor key performance indicators, and prepare financial reports crucial for budgeting and forecasting.
  • Marketing Analyst: Our Power BI Course in Chennai makes students into successful Marketing Analysts who examine marketing campaign performance, customer behavior, and market trends using Power BI to optimize strategies and measure return on investment (ROI).
  • Operations Analyst: SLA Institute will provide students with enough resources that it will make them become successful Operations Analyst who analyzes operational data with Power BI to enhance efficiency, identify process improvements, and drive cost savings initiatives.
  • Consultant: SLA Institute gives students enough training that it will make them productive Consultant who offers consulting services or works independently as a freelance Power BI expert, assisting businesses in implementing, optimizing, and managing BI solutions.
  • Project Manager (BI Focus): SLA Institute with its experienced trainers will make the learning easy for students so that they will become successful in jobs like Project Manager who oversees BI projects involving Power BI implementation, ensuring alignment with business goals and delivering actionable insights to stakeholders.

Power BI Course Syllabus

Download Syllabus

SLA Institute’s Power BI Course Syllabus comes with 100% placement support so students will be guaranteed a placement in an esteemed organization. In addition to that the Power BI Course Syllabus is also carefully curated with the help of leading professionals and experts from the IT industry with so many hours invested in it. So, everything that our students learn in the Power BI course is fully up-to-date to the current trends in the IT industry, which increases their chances of getting placed.

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

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Project Practices on Power BI Training

Project 1Sales and Revenue Analysis Dashboard

Sales and Revenue Analysis Dashboard: Construct a dashboard to visualize sales trends over time, analyze revenue patterns, compare regional or product sales performance, and integrate historical data for forecasting.

Project 2Customer Segmentation and Analysis

Develop a dashboard to segment customers based on purchasing behavior, demographics, or other criteria. Analyze metrics such as customer retention, lifetime value, and preferences using visualizations.

Project 3Financial Performance Dashboard

Financial Performance Dashboard: Build a dashboard to monitor key financial metrics such as profitability, cash flow, expenses, and financial ratios. Include interactive elements for financial forecasting and variance analysis.

Project 4Inventory Management Dashboard

Inventory Management Dashboard: Design a dashboard to track inventory levels, monitor stock movements, analyze turnover rates, and identify potential stock shortages. Incorporate alerts based on predefined inventory thresholds.

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 role do Power BI Gateways play, and when should they be utilized?

Power BI Gateways serve to securely connect Power BI with on-premises data sources. They facilitate data refreshes and live connections between cloud services (Power BI Service) and on-premises systems such as SQL Server and SharePoint.

How does Power BI manage data refreshes and scheduling?

Power BI enables users to schedule data refreshes for reports and datasets, ensuring they always reflect the latest data from underlying sources. Users can configure refresh schedules and manage credentials to automate data access and updates.

Why is DAX (Data Analysis Expressions) important in Power BI?

DAX is a formula language essential for creating custom calculations within Power BI. It allows users to define calculated columns, measures, and tables, enabling advanced calculations and aggregations based on data relationships.

Can Power BI handle real-time data streaming effectively?

Yes, Power BI supports real-time data streaming through integration with Azure Stream Analytics and other sources like IoT devices. This capability facilitates continuous data updates, enabling live dashboards for monitoring real-time data trends.

Does SLA Institute have an HR officer?

Yes, SLA has HR officers who will look into students grievances and issues.

Does SLA support EMI?

Yes, SLA supports EMI with 0% interest.

Is Power BI difficult to learn?

Learning Power BI’s ease depends on your familiarity with data tools, technical skills, and prior experience; it offers a beginner-friendly interface for basic tasks but mastering advanced features like DAX may require persistent effort. But ultimately it all boils down to the efforts that students are willing to invest, in addition to that SLA Institute will make the learning easy with the help of experienced trainers.

Is Power BI easier than SQL?

Comparing Power BI and SQL in terms of difficulty is subjective, depending on your background and goals; Power BI emphasizes user-friendly data visualization and analysis, while SQL involves learning database management, querying syntax, and relational concepts.

On Average Students Rated The Power BI Course 4.90/5.0
(1360)

Studying at SLA institute was an enriching experience. The trainer is a very patient person, and he managed all the students with care. We used to bombard him with queries, but he replied everything with a smiling face. Thanks to the trainer and the placement team, I am now placed in a good company as Power BI developer.

JeromPower BI

What to say about the efficient training at SLA Institute? I got to know several concepts other than Power BI. SLA Institute taught me that it is not only about technical training but also about soft skill and life skills training. I am very happy with the outcome and would definitely recommend others to join Softlogic.

ChitraPower BI

SLA Institute is the best place to study Power BI. Even though this Microsoft product is similar to advanced Excel, the trainer taught us patiently. He made me understand everything in an easy manner. There was never an instance I felt left out because the trainer taught me at my pace.

PramothPower BI
See More Reviews

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