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.
Upgrade your skills and be competent for the on demand jobs with this Power BI Course
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
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
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
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
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
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
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
Topics Covered:
Publishing reports | Workspaces | Sharing & access control | Dataset refresh | Gateways overview | Introduction to Row-Level Security | Version control best practices
Pain Point:
A dashboard that isn’t deployed properly remains unused and disconnected from real decisions.
How It Helps:
Prepares analysts to deploy, share, and govern dashboards in production environments.
Industry Impact:
Essential for enterprise BI teams to manage live reports and governance.
Practical Projects:
Workspace setup | Scheduled dataset refresh | Role-level security configuration
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.
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.
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.
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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.
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