Data Science & AI for BFSI Course with Placement Support
Why Data Science in BFSI?
The financial sector is the largest consumer of Data Science & AI. Prepare for high-paying roles in Fintech.
Domain Expertise
Learn to apply DS techniques to Risk Modeling, Fraud Detection, Algorithmic Trading, and Customer Churn.
Risk Management
Master Credit Risk Modeling and Regulatory Compliance (Basel, CCAR) analytics used by major banks.
Fintech Ready
From traditional banking to modern Fintech apps, AI is driving personalization and automation. Be part of this transformation.
Live Financial Projects
Build a portfolio with real-world financial datasets: Stock Price Prediction, Loan Default Prediction, and Customer Segmentation for Banking.
The BFSI Curriculum
From Python basics to Advanced Financial Machine Learning.
Role of Analytics in BFSI
- BFSI Analytics Landscape
- Key Problem Areas and KPIs
- Business Case: Insurance Customer Segmentation
Data Collection in BFSI
- Structured vs. Unstructured Data
- Internal & External Data Sources
- Business Case: Credit Score Prediction
Data Cleaning and Pre-processing
- Handling Missing Data, Outliers
- Categorical Encoding, Normalization
- Business Case: Customer Retention Analysis
Basics of Statistics
- Mean, Median, Mode, Variance
- Distributions in BFSI Context
- Business Case: Claim Amount Distribution
Hypothesis Testing & Correlation
- T-tests, Chi-square, ANOVA
- Pearson/Spearman Correlation
- Business Case: Employment Status & Loan Default
Exploratory Data Analysis (EDA)
- Visual and Numerical Summaries
- Histograms, Boxplots, Heatmaps
- Business Case: Credit Card Fraud Detection
Linear Regression Essentials
- Simple vs. Multiple Regression
- Use Cases in Insurance and Lending
- Business Case: Predicting Insurance Premiums
Model Evaluation Metrics
- R², RMSE, MAE Explained
- Business Case: Loan Amount Prediction
Feature Engineering Techniques
- Variable Importance, Multicollinearity, VIF
- Business Case: Feature Design for Loan Default Prediction
Introduction to Classification
- Logistic Regression, Decision Trees
- Business Case: Loan Approval Prediction
Model Performance for Classification
- Confusion Matrix, ROC, F1-score
- Business Case: Policy Lapse Detection
Clustering Techniques
- K-means, Hierarchical Clustering
- Business Case: Credit Card Customer Segmentation
Case Study - Insurance Risk Modeling
- Step-by-step Project Walkthrough
- Objective: Claim Prediction Model
Case Study - Credit Risk Scorecard
- Objective: Default Risk Score Using Analytics
- End-to-end Pipeline Overview
Wrap-Up & Future Trends
- Analytics Career Roadmap
- BFSI Industry Use of AutoML, GenAI
- Live Q&A and NASSCOM Certification Discussion
Master the Tools of the Trade
Get hands-on experience with the practical tools and platforms used by top engineering teams worldwide.
Jupyter
NotebooksTableau
VisualizationPowerBI
VisualizationPython
Core LanguageAWS
CloudSlack
CommunicationJira
Project MgmtGitHub
Version ControlGit
Version ControlOpenAI
AI AssistantGemini
AI AssistantZoom
CommunicationYour 5-Month Journey to Success
A structured, intense, and outcome-oriented roadmap designed to take you from novice to professional.
Py & Stats
Python programming and Statistics for Data Science.
Data Analysis
Data Manipulation and Visualization with Pandas and Matplotlib.
Machine Learning
Supervised and Unsupervised learning algorithms.
Deep Learning
Neural Networks, CNNs for Image, and RNNs/LSTMs.
Career Prep
Portfolio building, GitHub profile, and Mock Interviews.
Build Financial Models
Solve critical problems in the banking and finance industry.
Fraud Detection System
Detect anomalous transactions in real-time using ensemble methods like Isolation Forests and XGBoost.
Loan Default Prediction
Build a credit scoring model to predict the probability of a borrower defaulting on a loan.
Stock Price Prediction
Use LSTM neural networks to predict future stock prices based on historical trends and news sentiment.
Earn a Certificate that
Proves Your Expertise
Upon successful completion of the course and capstone project, you will receive an industry-recognized certification from Aideas Academy.

We Don't Just Teach.
We Get You Hired.
Resume Building
Craft a world-class resume that stands out. We help you highlight your skills and projects effectively.
- ATS Optimized
- Project Highlighting
- Keyword Strategy
Mock Interviews
Practice with industry experts. Get real-time feedback to crack technical and HR rounds with confidence.
- Technical Rounds
- HR Questions
- Confidence Building
Career Mentorship
1-on-1 guidance from seniors in top MNCs. Map out your career path and meaningful growth strategies.
- 1-on-1 Sessions
- Industry Insights
- Growth Roadmap
Job Alerts
Get exclusive access to our hiring network. We connect you directly with startups and MNCs hiring now.
- Exclusive Openings
- Direct Referrals
- Interview Scheduling
Don't Just Take Our Word.
See Their Offer Letters.
Join 1,200+ students who have transformed their careers with our Data Science & AI for BFSI program.
Siddharth M.
The RAG and LLM modules are world-class. I built a document chat bot for my final project which impressed the hiring manager immensely.
Ishita Rao
This course bridges the gap between traditional coding and AI. Learning how to integrate OpenAI API and Vector DBs opened so many doors for me.
Varun K.
Practical, hands-on, and futuristic. We didn't just learn theory; we built autonomous agents. Truly advanced content.
Riya Sen
If you want to stay ahead of the curve, this is the course. I'm now leading the AI initiative at a funded startup thanks to the skills I gained here.
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Frequently Asked Questions
Is finance background required?
Not mandatory. We teach the necessary domain knowledge alongside technical skills. However, an interest in finance is helpful.
What roles can I apply for?
You can apply for Data Scientist in Banking, Credit Risk Analyst, Fraud Analyst, Quantitative Analyst, and Financial Data Analyst roles.
Do you cover Regulatory Compliance?
Yes, we touch upon how data science models are used in compliance (KYC/AML) and regulatory reporting.
Launch Your Fintech Career
Join the high-growth sector of Banking & Financial Services.