Join Skillspark, the best Power BI training institute in Kerala, and master data visualization, dashboards, and business intelligence. Learn to analyze and present data effectively using Microsoft Power BI with expert-led training and hands-on projects.
Upgrade your skills and be competent for the on demand jobs with this 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.
The Power BI course at Skillspark is designed to help professionals and students master business intelligence and data visualization. This course covers data modeling, dashboard creation, DAX formulas, and real-time data analysis using Power BI. Whether you are a beginner or a working professional, this course provides the expertise needed to analyze business data and generate actionable insights.
Skillspark is a leading Power BI training institute in Kerala, offering industry-focused training with practical applications. Our expert trainers provide in-depth knowledge of Power BI, helping students become proficient in data analytics and visualization.
Course Benefits
After completing the Power BI course at Skillspark, students can explore roles such as:
Power BI is a business analytics tool by Microsoft that helps visualize data and share insights across organizations. Learning Power BI can enhance your ability to analyze and interpret data, making you a valuable asset in any data-driven industry.
Power BI courses are ideal for data analysts, business analysts, IT professionals, and anyone interested in learning data visualization and business intelligence.
Some key benefits include:
In-demand skill for data-related roles
Ability to create interactive dashboards and reports
Seamless integration with Excel and other Microsoft tools
Helps in making data-driven business decisions
Yes, Power BI is widely used across industries for business intelligence. Professionals with Power BI expertise are in high demand in sectors like finance, retail, IT, healthcare, and manufacturing.
No, Power BI is user-friendly and can be learned by beginners without a strong technical background. However, knowledge of Excel or basic data concepts can be helpful.
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