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Power BI Courses in Kollam – Learn Data Visualization & Business Intelligence

Join top-rated Power BI courses in Kollam to master dashboards, data modeling, and interactive reports. Learn from experts with hands-on projects and certification support.

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Syllabus - Modules of Power BI course

Module 1: Business Intelligence & Power BI Fundamentals
Topics Covered:
Business Intelligence concepts | Role of Power BI in organizations | Power BI ecosystem (Desktop, Service, Gateway overview) | Power BI installation & setup | Understanding business questions | Identifying KPIs (Sales, HR, Finance)

Pain Point:
Professionals struggle to translate business goals into analytics tasks — leading to dashboards that look pretty but don’t answer real queries.

How It Helps:
Aligns analytics work with business problems by identifying KPIs and framing questions the way managers expect.

Industry Impact:
Builds consulting-grade BI thinking — required for Data Analysts, BI specialists, and MIS roles in corporate environments.

Practical Projects:
KPI identification workshop | Business requirement to dashboard plan | KPI documentation for sales and HR

Module 2: Data Understanding & Power Query Fundamentals

Topics Covered:
Types of business data | Structured vs unstructured | Power BI data sources (Excel, CSV, Folder) | Power Query interface | Data types & errors | Column transformations | Remove duplicates | Replace values | Conditional columns | Group By | Merge & Append queries | Case study: Payroll data consolidation

Pain Point:
80%+ of real BI tasks are about cleaning and preparing messy enterprise data before reporting.

How It Helps:
Teaches robust ETL workflows using Power Query — exactly how BI teams handle HR, finance, and sales data in corporate systems.

Industry Impact:
Enables analysts to handle messy real datasets without depending on IT, making them highly productive from day one.

Practical Projects:
Payroll data cleaning template | Multi-source sales data consolidation | Customer master cleaning workflow

Module 3: Data Modeling – Industry Core

Topics Covered:
Introduction to data modeling | Fact vs Dimension tables | Granularity concept | Star schema (mandatory) | Snowflake schema (comparative) | Relationship cardinality | Filter direction | Model optimization basics | Case study: Sales data model design

Pain Point:
Poor data models cause slow reports, incorrect results, and unpredictable analytics.

How It Helps:
Instills enterprise-grade modeling techniques that ensure accurate, performant BI solutions.

Industry Impact:
Professionals proficient in star schema and optimized models are trusted with large datasets in finance, operations, and strategy functions.

Practical Projects:
Star schema modeling for sales dataset | Model optimization for performance | Relationship validation checklist

Module 4: DAX Fundamentals & Business Calculations

Topics Covered:
Introduction to DAX | DAX syntax | Calculated column vs Measure | Arithmetic operators | Logical functions (IF, SWITCH) | SUM | SUMX | MIN | MAX | AVERAGE | AVERAGEX | COUNT | DISTINCTCOUNT | FILTER | ALL | ALLEXCEPT | DIVIDE | Adding new columns, measures, tables | Renaming columns/measures

Pain Point:
Basic visuals without business logic provide limited insights.

How It Helps:
Equips analysts to translate real business rules into meaningful calculations — revenue metrics, growth rates, variance analysis, etc.

Industry Impact:
Strong DAX skills are a differentiator for roles like BI Analyst, Power BI Developer, and Analytics Consultant.

Practical Projects:
Revenue growth and variance measures | Profitability KPIs | Customer segmentation measures

Module 5: Time Intelligence & Analytical DAX

Topics Covered:
Date table creation | Date & time functions | YTD | MTD | QTD | Previous year comparison | Growth % | Ranking functions | Business KPI calculations (e.g., revenue growth, employee attrition rate)

Pain Point:
Managers often ask time-based performance questions that simple reports can’t answer.

How It Helps:
Teaches self-service analytics for time series — crucial for month-end reviews, targets vs achievements, and trend reporting.

Industry Impact:
Used across sales, finance, HR, and operations for trend and performance analysis.

Practical Projects:
Month-on-month growth dashboard | YTD performance model | Attrition trend analysis

Module 6: Data Visualization & Report Design

Topics Covered:
Cards | Multi-row cards | Tables | Matrix | Bar/Column/Line/Area charts | KPI visualization | Map visualizations | Hierarchies | Sorting | Data grouping | Field settings | Formatting visuals

Pain Point:
Dashboards that look visually cluttered or misleading weaken decision-making.

How It Helps:
Teaches professional visualization standards used in boardroom reports.

Industry Impact:
Improves communication between analysts and business leaders.

Practical Projects:
Executive KPI dashboard | Sales trend visual model | Geo-mapped performance report

Module 7: Interactive Dashboard Features

Topics Covered:
Slicers | Drill-through | Tooltip report page | Report page navigation | Bookmarks | Selection pane | Interactive filtering | Performance optimization | Storytelling principles

Pain Point:
Static reports cannot answer follow-up analysis requests from stakeholders.

How It Helps:
Builds interactive dashboards that business users can explore independently.

Industry Impact:
Drives self-service analytics culture in modern enterprises.

Practical Projects:
Interactive slicer controls | Drill-through project analysis | Storyboard dashboard

Module 1: Power BI Service & Cloud BI

Topics Covered:
What is Power BI Service | Desktop vs Service | Cloud BI architecture | Navigating the Power BI portal | Understanding tenants | Licensing (Pro vs Premium) | Workspaces overview | Data flow in cloud BI

Pain Point:
Many professionals can build dashboards but don’t know how to deploy them in real organizations.

How It Helps:
Provides clarity on how dashboards operate in enterprise environments.

Industry Impact:
Cloud BI knowledge is essential for modern analytics roles.

Practical Projects:
Set up Power BI Service account | Explore organizational workspace | Map Desktop-to-Cloud workflow

 

Module 2: Publishing Reports & Managing Datasets

Topics Covered:
Publishing from Desktop | Dataset vs Dataflow | Uploading PBIX files | Managing semantic models | Dataset settings | Endorsement (Promoted/Certified)

Pain Point:
Reports remain unused because professionals don’t know how to publish them correctly.

How It Helps:
Ensures reports are available and usable across the organization.

Industry Impact:
Transforms analysts into deployment-ready professionals.

Practical Projects:
Publish enterprise sales report | Configure dataset settings | Create certified dataset

 

Module 3: Workspaces & Collaboration

Topics Covered:
Workspace types | Roles (Admin, Member, Contributor, Viewer) | App workspaces | Development vs production environments | Version control basics

Pain Point:
Unstructured sharing leads to data confusion and duplication.

How It Helps:
Creates organized collaboration environments.

Industry Impact:
Critical for team-based BI operations.

Practical Projects:
Design department workspace | Assign role-based access | Build production workspace structure

 

Module 4: Data Refresh & Gateway Configuration

Topics Covered:
Scheduled refresh | On-demand refresh | Personal vs Enterprise Gateway | Installing gateway | Connecting on-premises data | Troubleshooting refresh failures

Pain Point:
Outdated dashboards damage management trust.

How It Helps:
Automates data updates for real-time insights.

Industry Impact:
Highly valued skill in enterprise BI teams.

Practical Projects:
Configure scheduled refresh | Set up enterprise gateway | Resolve refresh failure scenario

 

Module 5: Security & Row-Level Security (RLS)

Topics Covered:
Data security principles | Row-Level Security | Dynamic RLS | Object-level security | Testing security roles | Secure sharing practices

Pain Point:
Sensitive data exposure creates major business risk.

How It Helps:
Ensures users only see authorized data.

Industry Impact:
Mandatory for finance, HR, and leadership dashboards.

Practical Projects:
Implement region-based RLS | Test role visibility | Secure executive dashboard

 

Module 6: Apps & Enterprise Distribution

Topics Covered:
Creating Power BI Apps | Publishing apps | Updating content | Audience targeting | App navigation | Organizational distribution

Pain Point:
Sending report links creates confusion and version issues.

How It Helps:
Delivers dashboards in structured app format.

Industry Impact:
Standard practice in corporate BI deployment.

Practical Projects:
Build departmental BI app | Configure audience groups | Publish executive reporting app

 

Module 7: Dashboard Creation in Power BI Service

Topics Covered:
Pinning visuals | Creating dashboards | Real-time tiles | Streaming datasets | Alerts | KPI monitoring

Pain Point:
Managers want quick snapshots — not full reports.

How It Helps:
Creates high-level executive dashboards.

Industry Impact:
Supports faster leadership decisions.

Practical Projects:
Executive KPI dashboard | Live operations monitor | Leadership snapshot board

 

Module 8: Dataflows & Centralized Data Preparation

Topics Covered:
Introduction to dataflows | ETL in the cloud | Reusable data models | Linked entities | Data standardization

Pain Point:
Multiple teams clean the same data repeatedly.

How It Helps:
Centralizes data preparation.

Industry Impact:
Improves scalability of BI environments.

Practical Projects:
Create centralized HR dataflow | Build reusable finance dataset | Standardize sales data pipeline

 

Module 9: Monitoring, Usage Metrics & Performance

Topics Covered:
Usage metrics | Adoption tracking | Performance analyzer | Capacity metrics | Optimization techniques

Pain Point:
Organizations don’t know if reports are actually used.

How It Helps:
Tracks engagement and improves report performance.

Industry Impact:
Supports data-driven BI strategy.

Practical Projects:
Analyze report usage | Optimize slow dashboard | Create adoption summary

 

Module 10: Governance, Compliance & Best Practices

Topics Covered:
BI governance | Naming conventions | Data certification | Lifecycle management | Backup strategies | Compliance considerations

Pain Point:
Poor governance leads to reporting chaos.

How It Helps:
Establishes structured BI environments.

Industry Impact:
Essential for enterprise analytics maturity.

Practical Projects:
Design governance framework | Create BI standards guide | Audit workspace structure

 

Module 11: Power BI Service with Microsoft Fabric & AI (Latest Update)

Topics Covered:
Introduction to Microsoft Fabric | AI features in Power BI | Copilot overview | Automated insights | Future of cloud BI

Pain Point:
Professionals fear rapid AI changes.

How It Helps:
Prepares learners for next-generation BI platforms.

Industry Impact:
Future-proofs analytics careers.

Practical Projects:
Generate AI insights | Explore Fabric workspace | Build automated narrative report

Final Project List

Participants must select one project from the list below as their final submission.
This project will serve as a portfolio-ready industry project, which can be showcased in resumes, interviews, and professional portfolios.
A strong project significantly enhances job eligibility, interview shortlisting, and recruiter confidence.

  • Fully Automated HR Analytics
    Analysis of multi-department HR data from a multinational company, including recruitment, performance, attrition, and workforce dashboards.
  • Loan Fraud Detection
    Identification of fraudulent loan applications using risk profiling, anomaly detection, and predictive analytics models.
  • Inventory Management – MNC Shipping Company
    Supply chain and inventory optimization project focusing on demand forecasting, stock planning, and logistics analytics.
  • Hospital Administration Analytics
    Operational and financial analysis of data from five departments of a South India–based hospital group.
  • Profit & Loss Analytics – Exporting Company (Beijing)
    Financial analytics project involving P&L calculation, margin analysis, cost breakdown, and foreign exchange impact evaluation.
  • Real Estate Project Management Analytics
    Monitoring project cost, timelines, resources, and risk analytics for a real estate development company.

Why should you choose Power BI courses in Kollam?

The Power BI Courses in Kollam are designed to help learners build practical skills in data visualization, dashboard creation, and business intelligence using real-world projects and expert guidance.

Power BI Course Benefits

The Power BI Courses in Kollam offer comprehensive, job-oriented training for students, professionals, and analysts looking to build a career in data analysis and business intelligence. Designed by experienced trainers, this course provides step-by-step instruction on how to convert raw data into interactive dashboards and meaningful insights using Microsoft Power BI.

Power BI courses in Kollam by skillspark

The course starts with the basics of data analysis and gradually moves into advanced topics such as DAX functions, data modeling, data transformation, Power Query, interactive visualizations, and real-time dashboard creation. Learners get hands-on experience by working on live datasets and business scenarios.

With a focus on both practical knowledge and industry application, this training prepares you for real-time business intelligence roles across finance, marketing, operations, and IT. Whether you’re a beginner or already familiar with Excel-based reporting, this course will help you take your data skills to the next level.

By the end of the program, participants will be ready to take up roles in analytics, BI reporting, and data interpretation, with a course completion certificate to boost career opportunities.

Course Highlights

Why Choose Power BI?

Highlights of Power BI courses in Kollam

  • Comprehensive Power BI Training
    Covers Power BI Desktop, Power Query, DAX, data modeling, and publishing to Power BI Service.
  • Real-Time Dashboards
    Create interactive dashboards and data visualizations with real business datasets.
  • Live Projects & Use Cases
    Apply concepts through guided projects across different industries.
  • Certified Instructors
    Learn from experienced data professionals and Power BI experts.
  • Beginner to Advanced Curriculum
    Suitable for learners at all levels, with structured progression.
  • Certification Support
    Course completion certificate and preparation tips for Microsoft Power BI certification.
Who Should Enroll?
  • Students & Fresh Graduates
    Seeking a career in data analytics or business intelligence.
  • Working Professionals
    In roles such as finance, marketing, sales, or operations, looking to upskill in reporting.
  • MIS Executives / Data Analysts
    Aiming to upgrade from Excel to dynamic reporting tools.
  • IT Professionals
    Transitioning into BI and analytics domains.
  • Freelancers & Consultants
    Who want to offer dashboard and data analytics services to clients.
skill development courses in Kerala
Career Opportunities

What’s Next?

  • Power BI Developer
    Design, build, and maintain dashboards and reports for organizations.
  • Business Intelligence Analyst
    Analyze and present data-driven insights to guide decision-making.
  • Data Analyst
    Interpret complex data and create visualizations for internal and client reporting.
  • MIS Executive
    Automate and manage daily, weekly, and monthly reporting processes.
  • Freelance BI Consultant
    Offer Power BI services to startups, agencies, and enterprises.
  • BI Support Executive / Report Developer
    Maintain and enhance existing reporting systems across departments.
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