Introduction

Banking Dashboard Development Training Course is designed to equip professionals with the practical skills required to build interactive banking dashboards, real-time financial reporting systems, and data-driven business intelligence solutions. As financial institutions accelerate their digital transformation, there is an increasing demand for professionals who can develop executive dashboards, KPI scorecards, risk analytics dashboards, customer analytics platforms, and regulatory reporting solutions. This training integrates Business Intelligence (BI), Data Analytics, Power BI, Tableau, SQL, Excel Automation, Python for Analytics, ETL processes, Data Visualization, and Banking Performance Metrics to create modern dashboards that support strategic decision-making.

Participants will gain hands-on experience in designing and developing banking dashboards using real-world datasets and industry best practices. The course emphasizes financial analytics, credit risk monitoring, loan portfolio analysis, fraud detection dashboards, branch performance analysis, customer profitability analytics, treasury reporting, digital banking KPIs, and executive management reporting. Through practical projects and banking case studies, learners will master dashboard architecture, data modeling, visualization techniques, automation, and performance optimization while developing dashboards aligned with regulatory compliance and business intelligence standards.

Programme Curriculum

Banking Dashboard Development Training Course

Introduction

Course Duration

5 days

Course Objectives

Develop interactive Banking Dashboards using Power BI and Tableau.
Design real-time financial reporting dashboards for banking operations.
Build executive KPI dashboards for strategic decision-making.
Perform banking data analytics using SQL, Excel, and Python.
Create loan portfolio analytics dashboards with dynamic visualizations.
Develop credit risk and compliance dashboards using industry best practices.
Build customer segmentation and profitability dashboards using advanced analytics.
Design fraud detection and transaction monitoring dashboards.
Automate banking reports using ETL, Power Query, and data pipelines.
Implement data visualization best practices for financial institutions.
Optimize dashboard performance, security, and governance.
Integrate AI-powered analytics, predictive insights, and forecasting into banking dashboards.
Develop an end-to-end Banking Business Intelligence (BI) solution using real-world banking datasets.

Target Audience

Banking Business Analysts
Banking Operations Professionals
Financial Analysts
Data Analysts and Business Intelligence Developers
MIS and Reporting Executives
Risk and Compliance Professionals
Finance and Accounting Professionals
Students and IT Professionals aspiring to build careers in Banking Analytics and Dashboard Development

Course Modules

Module 1: Banking Industry Fundamentals

Banking business processes and operations
Core Banking System overview
Banking products and services
Banking KPIs and financial metrics
Case Study: Retail Bank Performance Analysis

Module 2: Banking Data Analytics

Banking data sources
SQL for banking analytics
Data cleaning and transformation
ETL concepts and Power Query
Case Study: Customer Transaction Analysis

Module 3: Dashboard Design Principles

Dashboard planning
KPI selection
Data visualization best practices
Executive reporting design
Case Study: Executive Banking KPI Dashboard

Module 4: Power BI for Banking Dashboards

Power BI Desktop
Data modeling with DAX
Interactive reports and drill-through
Publishing dashboards
Case Study: Loan Portfolio Dashboard Development

Module 5: Tableau for Banking Analytics

Tableau interface
Dashboard creation
Storytelling with data
Banking visualization techniques
Case Study: Branch Performance Dashboard

Module 6: Risk, Compliance & Fraud Analytics

Credit risk dashboards
Operational risk analytics
AML and fraud monitoring
Regulatory reporting
Case Study: Fraud Detection Dashboard

Module 7: Advanced Banking Analytics

Predictive analytics
AI-powered dashboards
Forecasting and trend analysis
Customer segmentation
Case Study: Customer Profitability Dashboard

Module 8: Capstone Project & Dashboard Deployment

End-to-end dashboard development
Dashboard optimization
Security and governance
Presentation and stakeholder reporting
Case Study: Enterprise Banking Executive Dashboard

Training Methodology

Interactive lectures and presentations.
Group discussions and brainstorming sessions.
Hands-on exercises using real-world datasets.
Role-playing and scenario-based simulations.
Analysis of case studies to bridge theory and practice.
Peer-to-peer learning and networking.
Expert-led Q&A sessions.
Continuous feedback and personalized guidance.

Register as a group from 3 participants for a Discount

Send us an email: info@fineskilltrainingcenter.org or call +254769199797

Certification

Upon successful completion of this training, participants will be issued with a globally- recognized certificate.

Tailor-Made Course

We also offer tailor-made courses based on your needs.

Key Notes

a. The participant must be conversant with English.

b. Upon completion of training the participant will be issued with an Authorized Training Certificate

c. Course duration is flexible and the contents can be modified to fit any number of days.

d. The course fee includes facilitation training materials, 2 coffee breaks, buffet lunch and A Certificate upon successful completion of Training.

e. One-year post-training support Consultation and Coaching provided after the course.

f. Payment should be done at least a week before commence of the training, to Fineskill Training Center account, as indicated in the invoice so as to enable us prepare better for you.

Skills & Software Covered

Dashboard Development Power BI Data Visualization KPI Reporting

Programme Fee

Duration: 5 Days

Method: Online or Physical

Online Price: $1,000

Physical Price: $1,500

Certification: Accredited Certificate

View Available Dates 📄 Download Course Outline (PDF)

Available Sessions

Location

Month

Year

Oct 26 2026

26 Oct — 30 Oct 2026

💻 Online / Virtual session

Online $1,000