60 Hours
A structured learning course covering the reporting workflow.
POWER BI & BUSINESS INTELLIGENCECURRICULUM PREVIEW
Power BI & Business Intelligence
Course fee: INR 10,000 + 18% GST (INR 1,800). Total including GST: INR 11,800.
Confirm exclusions, materials, assessments and payment options with admissions.
Turn Data into Decisions. Build Dashboards for Better Business Insights.
Power Query & Modelling · DAX Calculations · Interactive Dashboards · Publish & Share Reports
A 60-hour practical learning path covering Power BI, data modeling, DAX, interactive reporting, and business intelligence.
60 hourscourse duration
Contact admissionsupcoming batch
Confirm available delivery formatlearning mode
Course duration: 60 hours. Contact admissions for batch dates, daily timings and delivery arrangements.
Program Highlights
Hands-on Projects
Practise dashboard development with realistic sample business datasets.
Industry Tools
Explore Power BI, Power Query, DAX, and SQL fundamentals.
Career Preparation
Build practical BI work samples and explore relevant entry-level role requirements.
Program Overview
Learn to make better business decisions with data
Turn data into decisions. Build dashboards that support business growth.
Learn to transform data into meaningful insights using Microsoft Power BI, data modeling, interactive dashboards, DAX calculations, and business intelligence techniques. This 60-hour practical training program is designed to help students and working professionals explore business performance, reporting, and communicating insights.
The course workflow moves from importing and cleaning information to building models, creating measures, designing reports, and sharing insights. Practice scenarios cover sales, finance, HR, inventory, marketing, and operations.
The course is suited to college students, graduates, accountants, MIS executives, business analysts, sales professionals, finance teams, HR professionals, entrepreneurs, and people interested in business intelligence. Confirm fees, batch schedule, delivery mode, software access, and actual institute services with ECAREERPLUZ.
What you will learn
- Import data from Excel, CSV files, databases, and other supported sources.
- Clean and transform datasets using Power Query.
- Build relationships between tables and organize data models.
- Write DAX calculations for business measures and KPIs.
- Develop interactive reports, charts, and dashboards.
- Analyze sales, revenue, profit, costs, and business trends.
- Explore sharing through Power BI Service, subject to account and licensing requirements.
- Present insights through business-focused reports and data storytelling.
Who should enroll?
College students and graduates
Build foundations in business intelligence, data preparation, and interactive reporting.
Accountants and finance teams
Explore expense, budget, profit, and financial dashboard scenarios.
MIS executives and Excel users
Explore a transition from spreadsheet reporting toward business intelligence.
Business and data analysts
Practise data modeling, KPI calculations, and visual business reporting.
Sales, HR, and operations professionals
Review business performance through role-relevant sample dashboard projects.
Entrepreneurs and business owners
Explore ways to monitor sample business measures and trends.
Eligibility
- Basic computer knowledge and familiarity with business data are helpful.
- Ask about programming prerequisites; confirm any batch requirements with admissions.
- Confirm Windows device availability, Power BI Desktop access, and any Power BI Service account or licensing needs before enrolment.
Curriculum Preview
Suggested eight-module curriculum · 60 hours total.
Module 01: Introduction to Business Intelligence · 4 hours
- Business intelligence, data, information, KPIs, and business metrics
- The role of Power BI in organizations
- Reports, dashboards, and data visualization foundations
Module 02: Data Sources and Importing · 6 hours
- Import Excel and CSV files
- Connect to supported databases and source connections
- Work with multiple tables and datasets
- Understand data types and source structure
Module 03: Power Query and Data Cleaning · 8 hours
- Remove duplicates and handle missing values
- Filter, sort, split, and merge columns
- Append and merge queries
- Pivot and unpivot data
- Prepare transformations for reliable refresh
Module 04: Data Modeling · 8 hours
- Tables, relationships, and cardinality
- Primary keys and lookup tables
- Fact and dimension tables
- Star schema fundamentals
- Date tables, filter context, and model organization
Module 05: DAX and Business Calculations · 10 hours
- Calculated columns versus measures
- SUM, COUNT, DISTINCTCOUNT, and related functions
- CALCULATE and filter context fundamentals
- IF, DIVIDE, and conditional calculations
- Time intelligence, growth, and year-over-year comparisons
- KPI and target-versus-actual calculations
Module 06: Data Visualization and Dashboard Design · 8 hours
- Bar, line, pie, and combo charts
- Cards, matrices, tables, and KPI visuals
- Slicers, filters, drill-down, and drill-through
- Tooltips, bookmarks, and interactive navigation
- Dashboard layout, visual hierarchy, and storytelling
Module 07: Power BI Service and Report Sharing · 6 hours
- Publish reports and understand workspaces, apps, and dashboards
- Scheduled refresh and gateway concepts
- Sharing permissions and access management
- Introduction to row-level security and deployment practices
Module 08: Business Projects and Capstone · 10 hours
- Develop sales, finance, HR, or operations analysis
- Build and review an interactive dashboard
- Present business insights and explain KPI choices
- Complete a final project review and portfolio preparation
The modules add up to 60 hours (4 + 6 + 8 + 8 + 10 + 8 + 6 + 10). SQL is described as fundamentals only. Power BI Service publishing, scheduled refresh, gateways, sharing, and row-level security depend on account permissions, licensing, tenant settings, and available infrastructure; confirm the practical scope for your batch.
Tools & Technologies
Tools for data preparation, modeling, and BI reporting
Explore the platforms and features named in the course outline. Product access, operating-system compatibility, and service capabilities vary.
Business intelligence platform
Microsoft Power BI Desktop
Create reports, interactive visualizations, data models, and dashboards for analysis.
Report building, filters, drill-through, and dashboard design
Source data
Microsoft Excel and CSV files
Prepare and review spreadsheet and flat-file data before analyzing it in reports.
Tables, formulas, PivotTables, CSV import, and data types
Data preparation
Power Query
Transform, combine, and refresh data through repeatable preparation workflows.
Cleaning, merging, appending, and refresh workflows
Business calculations
DAX — Data Analysis Expressions
Create measures and business indicators for performance, growth, profit, and targets.
Measures, CALCULATE, filter context, and time intelligence concepts
Database fundamentals
SQL and relational databases
Understand how structured business data can be retrieved for reporting and analysis.
SELECT, WHERE, GROUP BY, and JOIN fundamentals
Publishing and collaboration
Power BI Service
Explore report publishing, workspaces, sharing, refresh, and access management concepts.
Publishing and sharing, subject to licensing and permissions
Power BI Desktop is a Windows application. Power BI Service, sharing, refresh, and collaboration features can require organizational access, suitable licensing, and tenant permissions. Confirm Windows device access and the Power BI Desktop version required for hands-on class exercises. Publishing, workspaces, scheduled refresh, gateways, sharing permissions, and row-level security are subject to Power BI Service licensing, tenant settings, and infrastructure. SQL is introductory fundamentals in this course outline; it is not a database administration or advanced SQL course.
Projects & Practical Work
Learn by building business dashboard projects
These practice projects use realistic sample business scenarios.
PROJECT 1
Sales Performance Dashboard
Analyze revenue, sales volume, product performance, regional trends, and monthly growth. Deliverable: an interactive sales dashboard with KPIs and drill-down analysis.
Data preparation, DAX measures, KPIs, visuals, and drill-down.
PROJECT 2
Finance & Expense Dashboard
Compare budgets with actual expenditure, review departmental expenses, and identify cost trends. Deliverable: a financial dashboard with variance analysis.
Budget modeling, measures, variance analysis, and reporting.
PROJECT 3
HR Analytics Dashboard
Explore sample employee headcount, recruitment, attrition, department distribution, and workforce trends. Deliverable: an HR metrics dashboard.
Data modeling, employee measures, filters, and workforce reporting.
PROJECT 4
Inventory & Operations Dashboard
Track sample stock levels, product movement, reorder requirements, and operational performance. Deliverable: an inventory dashboard for stock and KPI monitoring.
Relationships, inventory measures, trends, and operational KPIs.
PROJECT 5
Marketing Analytics Dashboard
Compare campaign results, leads, conversions, acquisition costs, and channel performance. Deliverable: a marketing dashboard to support campaign decisions.
Campaign measures, channel comparisons, and interactive analysis.
PROJECT 6
End-to-End BI Capstone
Select a sample business scenario, clean the dataset, design a data model, create DAX measures, build an interactive dashboard, and present findings.
Data preparation, modeling, DAX, dashboard design, and communication.
Capstone project steps
- Learn BI concepts through clear explanations and guided demonstrations.
- Practise data preparation with realistic sample datasets.
- Build models, measures, and dashboards that answer business questions.
- Complete individual assignments and review project work.
- Present analytical findings and improve dashboard usability through feedback.
Completed project work may be discussed in interviews or included in a portfolio, subject to project completion. Use fictional or approved data; do not publish confidential personal or business information.
Learning Goals
Practical Business Intelligence skills
By completing this 60-hour course and its practical exercises, learners should be able to:
Prepare business data
Import, clean, transform, and organize information from common sources.
Build reliable data models
Create relationships between tables and structure datasets for analysis.
Calculate meaningful KPIs
Apply DAX to measure revenue, profit, growth, targets, and performance.
Design interactive dashboards
Present business information with useful charts, filters, slicers, and layouts.
Interpret business performance
Recognize trends, investigate differences, and communicate findings.
Prepare for career opportunities
Develop project evidence, reporting skills, and interview readiness for relevant roles.
This course builds an introductory BI foundation. Advanced roles may also require deeper statistics, SQL, cloud data platforms, data engineering, domain knowledge, or additional technical experience.
Career Pathways & Indicative Salary Guide
Explore careers in Business Intelligence
Power BI skills can support reporting and analytics opportunities in IT services, banking, finance, retail, manufacturing, healthcare, logistics, education, consulting, and other data-driven industries. Role requirements depend on experience and broader technical and business skills.
Career pathways
MIS Executive / Reporting Executive
Prepare routine Excel and BI reports, track KPIs, and maintain management information.
Junior Power BI Developer
Support data modeling, DAX measures, dashboard development, and report maintenance.
Data Analyst / Business Analyst
Explore trends, business metrics, data interpretation, and decision-support reporting.
BI Developer / Analytics Consultant
Progress toward advanced models, enterprise reporting, stakeholder requirements, and analytics solutions with additional experience.
Indicative salary progression in India
Compare these planning ranges with current local opportunities. Pay varies by role, qualifications, experience and employer.
Fresher / entry level
₹2.4–4.5 LPAIndicative annual range · India1–3 years
₹4–8 LPAIndicative annual range · India3–5 years
₹7–14 LPAIndicative annual range · IndiaSenior / specialist roles
₹12–22+ LPAIndicative annual range · IndiaBusiness opportunities
- Dashboard development for small and medium-sized businesses.
- MIS reporting services for sales, finance, and operations reports.
- Business performance consulting to help owners monitor trends and KPIs.
- Reporting automation using suitable Power BI and Excel workflows.
- Beginner-level training and workshops after gaining sufficient expertise.
Build your future: Power BI can complement advanced Excel, SQL, communication, and domain knowledge. Client work requires suitable competence, permission to access data, and appropriate privacy and confidentiality safeguards.
Placement Assistance
Prepare for career opportunities in reporting and analytics
Ask about career preparation and placement support for this course. Confirm which services are actually offered by the institute and available for the relevant batch.
Career support services
Resume & Portfolio Development
Present Power BI skills and completed sample projects clearly.
- Highlight relevant BI and reporting skills
- Showcase approved sample dashboards and case studies
Interview Preparation
Practise concepts commonly associated with reporting and analytics roles.
- Power BI, DAX, Excel, and SQL fundamentals
- Analytical thinking and business scenarios
Mock Interviews & Practical Assignments
Prepare to explain dashboard choices and demonstrate reporting skills.
- Dashboard assignments
- Practice interviews, subject to availability
Job Search Guidance
Explore job search strategies, networking, and relevant vacancies where available.
- Discuss employer expectations
- Vacancy or interview sharing, subject to availability
Career opportunities after training
- Fresh graduates preparing for entry-level reporting and analytics roles.
- Working professionals seeking to upgrade reporting skills.
- MIS and Excel users exploring business intelligence.
- Sales, finance, HR, and operations professionals interested in data analysis.
Interviews, referrals, vacancies, and placement outcomes depend on eligibility, performance, employer requirements, and available opportunities.
Certification information
Discuss the issuing authority, assessment requirements and any separate provider exams with admissions.
Certificate availability and external accreditation are not confirmed. Ask ECAREERPLUZ to confirm course completion recognition, issuing authority, eligibility, attendance, and assessment requirements.
Confirm whether a course completion certificate is offered.
Verify the issuing authority, attendance, and assessment criteria.
No Microsoft certification or external accreditation is implied.
Example learning journeys
Learn. Practise. Present your insights.
Explore example Power BI and business intelligence projects and learning journeys.
Example project journey01
From Spreadsheet Data to a Dashboard
Sample profile · not a real learner
A sample learner explores how to prepare data, select a business question, and present a dashboard.
Practice focus: Develop practical skills through guided exercises and project work.
Example project journey02
Practising DAX and KPI Measures
Sample profile · not a real learner
A sample practice scenario compares business measures and checks how filters change report results.
Practice focus: Develop practical skills through guided exercises and project work.
Example project journey03
Presenting a Capstone Insight
Sample profile · not a real learner
A sample capstone combines a data model, interactive visuals, and a short presentation of findings.
Practice focus: Develop practical skills through guided exercises and project work.
Data-Driven Learning, Delivered with Quality
Practical learning. Business-focused training. Measurable progress.
The learning approach combines instructor-led explanations, guided exercises, realistic datasets, individual assignments, and project reviews. Confirm the actual class format and support available for your batch.
Our learning approach
Structured Curriculum
Progress from BI fundamentals to data preparation, modeling, DAX, visualization, and publishing.
Hands-on Practice
Work with sample sales, finance, HR, inventory, and marketing datasets.
Business-oriented Learning
Explore why a KPI matters, how it is calculated, and how to present it.
Assessment and Feedback
Use assignments, exercises, and project reviews to identify areas to improve.
Continuous Skill Development
Practise improving dashboard usability, analytical accuracy, and communication.
Class format, trainer profiles, batch size, assessment standards, and teaching guarantees are not yet confirmed. Confirm arrangements with admissions before joining.
Meet Your Mentors
Learn from Industry Experts and Experienced Professionals.
Mr. P. PRAKASH RAJ
Software Developer
Mrs. S. SIVANISHA
IT Trainer
Mr. S. MOHAMED RIYAS KHAN
UI & UX Designer
Mr. S. SABARINATHAN
AI AnalystFrequently Asked Questions
Everything You Need to Know Before Enrolling
What is the duration of the Power BI & Business Intelligence course?
The course duration is 60 hours. Contact admissions for batch dates and the detailed timetable.
Who can join this course?
This course is suitable for students, graduates, accountants, MIS executives, analysts, sales, finance, HR, operations professionals, and entrepreneurs. Confirm admission requirements with the institute.
Do I need programming experience?
Ask admissions whether your chosen batch requires programming experience. Basic computer skills and familiarity with business data may be helpful; ask admissions about prerequisites.
Will I learn DAX and Power Query?
Yes. The modules include Power Query for data preparation and DAX for measures, filter context, and business calculations.
Will I work on real-time projects?
The outline proposes realistic sample business scenarios and dashboard projects.
Will I receive a certificate?
Certificate availability and eligibility are not confirmed. Ask ECAREERPLUZ about completion recognition, assessment requirements, and issuing authority.
How does career support work?
Ask our team about available career guidance, portfolio preparation and interview practice. Employers make their own selection decisions based on skills, qualifications and vacancies.
What job roles can I apply for after the course?
Possible directions include MIS or Reporting Executive, Junior Power BI Developer, and data or business analyst roles. Requirements vary; advanced BI and analytics roles may require additional experience and skills.
Can I learn Power BI if I already know Excel?
Yes. Excel experience can help with tables and data preparation, while Power BI adds data modeling, DAX measures, interactive reports, and service concepts.
What software or equipment do I need?
Power BI Desktop is a Windows application. Confirm a compatible Windows device and software access. Power BI Service features may require suitable accounts, licenses, permissions, and organizational settings.
Can this course help me start a reporting service?
The outline suggests possible services such as dashboards, MIS reporting, and reporting automation. Client work requires appropriate skills, permission to handle data, and realistic service planning.
How do I enrol in the course?
Use the enquiry form on this page to ask ECAREERPLUZ about current fees, batch schedules, delivery mode, software access, and admission steps.
What is the course fee, including GST?
Course fee: INR 10,000 + 18% GST (INR 1,800). Total including GST: INR 11,800. Confirm exclusions, materials, assessments and payment options with admissions.
Build your next chapter in Power BI and business intelligence.
Confirm course duration, fees, upcoming batch, learning mode, and final curriculum with our team.
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