Data Visualization & Analytics
with Excel & Power BI

Practical & Advanced Training for Every Learning Stage

Modern organizations run on data. The ability to clean, analyze, model, and visualize information using Microsoft Excel, SQL Server, and Power BI has become a core professional skill—whether you are a student just starting out, a working professional supporting decisions, or a specialized qualification candidate preparing for finance and management roles.

This program unites three carefully designed learning tracks into one complete pathway. Every track is 100% practical, scenario-driven, and delivered through personalized one-on-one mentorship. Learners progress at their own pace while working on real datasets and business problems, not textbook exercises.


Certificate in Advanced Excel, Power BI

Building Strong Foundations in Data Visualization & Analytics

For Whom: Anyone | After O/L | After A/L

Course Level: From Basic to Advanced Scenarios

Course Fee: LKR 23,000/= (Full Payment)

Mode of Delivery: One-on-One Mentorship | Online

Duration: 3 – 5 Months (Depending on Student Performance)

This track is designed for students and absolute beginners who want to develop solid analytical thinking and practical data-handling skills from the ground up. The curriculum moves step by step from core Excel techniques to interactive dashboards and introductory SQL and Power BI work, always using realistic datasets.

Course Content

1. Microsoft Excel Foundations to Intermediate Analytics

Essential formulas, logical functions, lookup techniques, data cleaning, sorting and filtering, basic PivotTables and Pivot Charts, conditional formatting, and data validation. Learners practice on everyday business and academic datasets.

2. Data Analysis & Reporting with Excel

Structured analysis of sales, attendance, inventory, and simple financial data. Introduction to trend identification, basic variance analysis, and clear tabular and chart-based reporting.

3. Professional Data Visualization in Excel

Chart selection principles, dashboard layout, interactive elements, and storytelling with numbers. Focus on clean, readable reports suitable for school projects, first jobs, and junior office roles.

4. Introduction to SQL Server for Data Handling

Basic database concepts, writing simple SELECT queries, filtering, sorting, joins, and aggregations. Learners extract and prepare data for analysis from multi-table sources.

5. Power BI Essentials – Interactive Dashboards

Connecting data sources, building relationships, creating basic measures, designing interactive reports, and publishing simple dashboards. Emphasis on clarity and usability.

6. Integrated Mini-Projects & Decision Support

End-to-end exercises that combine Excel, SQL, and Power BI: turning raw data into insights and presenting findings in a clear, professional format.

Outcome: Learners gain confident, job-ready skills to handle everyday reporting tasks, interpret basic business data patterns, and present insights effectively using Excel, SQL Server, and Power BI.


Professional Certificate in Advanced Excel, Power BI

Corporate Data Analytics for Working Professionals

For Whom: Professional & Corporate Learners

Course Level: From Basic to Advance Scenario

Course Fee: LKR 30,000/= (Full Payment) or USD 105 for international students or for locals residing abroad

Mode of Delivery: One-on-One Mentorship / Online

Duration: 3 – 5 Months depending on the student’s performance

This track targets working professionals who need stronger analytical capability to support operational, financial, and management decisions. Training focuses on real corporate data challenges drawn from finance, sales, operations, HR, and performance reporting.

Course Content

1. Advanced Microsoft Excel for Business Analytics

Complex formulas, nested logic, advanced lookups, dynamic arrays, scenario and sensitivity tools, sophisticated PivotTables, automation concepts, and performance optimization. Applied to budgeting, forecasting, variance analysis, and management reporting.

2. Structured Data Analysis for Corporate Decision-Making

KPI frameworks, performance measurement, trend and variance analysis, cost behavior, and operational summaries. Exercises mirror typical corporate reporting cycles and management information needs.

3. Executive-Level Visualization & Dashboards in Excel

Design of interactive management dashboards, scorecards, and analytical storytelling techniques used in senior reporting and board packs.

4. SQL Server for Corporate Data Extraction & Analysis

Efficient querying of multi-table databases, joins, aggregations, filtering for accuracy, and preparing clean datasets from transactional and operational systems.

5. Power BI – Business Analytics & Interactive Reporting

Data modeling, relationships, calculated measures, intermediate DAX, and interactive dashboards focused on sales performance, operational metrics, and management analytics.

6. End-to-End Corporate Reporting Solutions

Complete projects that integrate Excel, SQL Server, and Power BI: transforming raw operational and financial data into analytical models and actionable insights for decision-makers.

Outcome: Participants become capable of independently analyzing complex business data, building advanced models and executive dashboards, and delivering clear, insight-driven recommendations that support real corporate decision-making.


Professional Certificate in Data Visualization & Analytics

Advanced Analytics for Specialized & Professional Qualification Learners

For Whom: Specialized / Expert Learners, ACCA, AAT, CGMA, CIM, CMA, CPA Students

Course Level: From Basic to Advance Scenario

Course Fee: LKR 33,000/= (Full Payment) or USD 105 for international students or for locals residing abroad

Mode of Delivery: One-on-One Mentorship / Online

Duration: 3 – 5 Months depending on the student’s performance

This advanced specialization is built for finance, management, and professional qualification students who must work with complex datasets, financial models, and enterprise-level reporting. The focus is on deep analytical expertise and professional-grade presentation of insights.

Course Content

1. Advanced Microsoft Excel for Analytics & Financial Modeling

Complex formulas, nested logical models, advanced lookup structures, scenario and sensitivity analysis, PivotTables and Pivot Charts, dynamic dashboards, advanced data validation, conditional formatting for insight, automation concepts, and performance optimization. Real-world scenarios include financial statement analysis, cost behavior, variance analysis, budgeting models, forecasting, and management reporting.

2. Advanced Data Analysis Using Excel

Complex analytical scenarios covering financial summaries, management accounting models, performance measurement frameworks, KPI analysis, trend and variance analysis, and forecasting support. Exercises align with ACCA, AAT, CMA, CPA, and corporate reporting requirements.

3. Professional Data Visualization with Excel

Design of clear executive-level visual reports and dashboards, advanced chart selection, interactive elements, analytical storytelling, management scorecards, and performance monitoring reports used in board-level and senior management environments.

4. SQL Server for Advanced Data Handling & Analysis

Enterprise and financial data structures, efficient SQL queries for extraction, filtering, joining, aggregation, and multi-table analysis. Scenarios drawn from transaction systems, financial databases, operational data stores, and management information systems, with emphasis on accuracy, performance, and reporting readiness.

5. Power BI – Advanced Analytics & Executive Dashboards

Advanced data modeling, relationships, calculated measures, advanced DAX concepts, and interactive dashboards focused on financial performance, management analytics, trend analysis, and strategic reporting suitable for senior management and professional environments.

6. Integrated Real-World Reporting & Decision Support

End-to-end solutions combining Excel, SQL Server, and Power BI. Learners transform raw financial and operational data into analytical models, identify business and financial problems, analyze patterns, and present insight-driven recommendations aligned with corporate, consulting, and professional qualification contexts.

Personalized Advanced Learning Approach

Each student receives a customized learning path based on professional background, qualification level, and career objectives. Scenarios are tailored for finance professionals, management accountants, analysts, and business students, ensuring immediate relevance and applicability.

Outcome: Learners develop the ability to perform advanced data analysis, design complex analytical and financial models, build executive-level dashboards, interpret multidimensional data, and deliver insight-driven recommendations for strategic and operational decision-making.


Training Guarantee & Learning Commitment

All three tracks guarantee exposure to complex, real-world scenarios that go beyond typical university or classroom content. The emphasis is on industry-level problem solving, skill mastery, confidence, and genuine readiness for professional environments—not certificate collection alone.

Graduates leave equipped to work independently, adapt across industries, and contribute meaningfully to data-driven decision-making.

Ready to start your data analytics journey?

Choose the track that matches your current level and career goals. All programs are delivered through dedicated one-on-one mentorship.