Banking Data Analytics Course
Our Banking Data Analytics Course is designed to help you understand and analyze data used across the banking and financial services sector. You’ll learn key concepts such as customer segmentation, credit risk analysis, loan performance tracking, fraud detection, compliance reporting, and financial forecasting. The course covers essential tools including Excel, SQL, Power BI/Tableau, and Python for banking analytics. Through real-world banking datasets and hands-on projects, you’ll gain the skills needed to generate insights, optimize operations, and support data-driven decisions in retail banking, lending, payments, and financial services.
Banking Data Analytics Certification Training Course
Our Banking Data Analytics Course is designed to train learners in analyzing banking operations, customer data, risk parameters, loan portfolios, and financial transactions using modern analytics tools. This course covers Excel, SQL, Python (optional), Power BI/Tableau, banking KPIs, fraud analytics, credit scoring, and regulatory reporting. Whether you're a student, banking professional, finance aspirant, business analyst, or someone entering the BFSI sector, this course provides hands-on experience with real banking datasets, industry case studies, and tools used in banks, NBFCs, fintech companies, and credit organizations.
- Introduction to BFSI (Banking, Financial Services & Insurance)
- Banking data types: customer, transactional, credit & operational data
- Excel for banking analytics
- SQL for banking databases
- Data cleaning & preprocessing for financial datasets
- Banking KPIs: NPA, ROA, ROE, CAR, NIM, CASA
Banking analytics is essential for decision-making in areas like credit risk, fraud detection, loan processing, customer segmentation, regulatory compliance, and financial performance analysis. This course teaches how to extract insights from banking data using analytical techniques, data visualization, predictive modeling, and business intelligence. You will work on real-world banking scenarios, including fraud detection models, loan default prediction, customer churn analysis, ATM analytics, credit scoring models, and branch performance dashboards Enroll now and gain industry-ready skills to become a Banking Analyst, Risk Analyst, Credit Analyst, or Data Analyst in the BFSI sector!
What will I learn?
- Ability to analyze banking operations and financial performance
- Skills to work with banking datasets using Excel, SQL, and BI tools
- Knowledge of credit risk, fraud analytics & customer insights
- Ability to create banking dashboards and regulatory reports
- Experience in predictive modeling for banking use cases
Requirements
- Basic understanding of finance or banking (recommended)
- Laptop/PC with Excel & BI tools installed
- No coding experience required (Python optional)
- Interest in finance, banking, or analytics
Start Your Enrollment
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Why Choose Us ?
Our Banking Data Analytics Course is designed to equip students and professionals with practical skills to analyze banking and financial data, optimize operations, and support data-driven decision-making in the banking sector. At TCIIT, we focus on hands-on learning with real banking datasets and industry-relevant case studies. You will learn Excel, SQL, Python, Power BI, risk analytics, customer analytics, and reporting techniques to extract insights, monitor KPIs, and improve banking performance. Our expert faculty guides you through practical exercises, dashboards, and predictive analysis to prepare you for real-world banking analytics challenges. Choose us for industry-oriented projects, expert mentorship, practical training, and job-ready skills for roles like Banking Analyst, Data Analyst, Risk Analyst, and BI Specialist in the financial and banking domain.
Diverse Career Opportunities in Banking Data Analytics: Exploring Analytical Roles in India’s Growing BFSI Sector
In India, expertise in Banking Data Analytics opens doors to high-demand career opportunities within the BFSI (Banking, Financial Services & Insurance) sector. Leading banks and financial institutions such as HDFC Bank, ICICI Bank, SBI, Axis Bank, JPMorgan, Goldman Sachs, American Express, and Deloitte actively hire Banking Analytics professionals to manage financial data, strengthen risk management, enhance customer insights, and support regulatory compliance. Banking Data Analysts are highly valued for their ability to analyze transactional data, detect fraud, optimize credit scoring models, measure financial performance, and build predictive models for customer behavior. Their expertise helps banks improve loan decisions, automate reporting, reduce non-performing assets (NPA), and optimize digital banking operations. Salary packages vary based on skills and experience. In India, the average annual salary for a Banking Data Analytics professional ranges from 750,000 to 1,300,000 INR, while in the USA it is approximately $100,000 per year, highlighting strong global demand and excellent career growth in analytics-driven banking roles.
Get Banking Data Analytics Certification
Three easy steps will unlock your Banking Data Analytics Certification
- Complete the online/offline Banking Data Analytics Course along with all required assignments.
- Work on and successfully complete multiple industry-based banking analytics projects, including credit risk modeling, fraud detection, loan analysis, and customer segmentation.
- Pass the Banking Data Analytics Certification Exam to earn your verified, industry-recognized certificate.
The certificate for this Banking Data Analytics course will be delivered through our learning management system (LMS). You can download it anytime and add the certificate link to your CV, resume, or LinkedIn profile to showcase your banking analytics and data-driven financial decision-making skills.
