Use Cases

Customer Feedback Analysis Using Text Clustering

This course focuses on the application of various clustering algorithms to understand the sentiment behind customer feedbacks.

Difficulty: Intermediate
Duration: Approximately 3 hours

Banking & Financial Services

Customer Segmentation Based on Transaction History

This course focuses on the application of unsupervised learning algorithms to perform the segmentation of customers based on their transaction history

Difficulty: Advanced
Duration: Approximately 3 hours

Banking & Financial Services

Stock Price Analysis for Banking Institutions

This project emphasizes the concepts of Time series analysis and Forecasting of stock prices.

Difficulty: Advanced
Difficulty: Approximately 3 hours

Banking & Financial Services

Predict Customer Attrition Using Naïve Bayes Classification

This case study exposes the learner to the concept of Naive bayes and how it can be used for making predictions in real time.

Difficulty: Advanced
Difficulty: Approximately 3 hours

Banking & Financial Services

Predict Credit Card Customer Attrition – Logistic Regression

This project introduces foundational concepts of applying machine learning algorithms for predicting credit card attrition rate of the customer.

Difficulty: Advanced
Duration: Approximately 3 hours

Banking & Financial Services

Identify Customers with Higher Likelihood of Credit Card Attrition

This project focuses on the foundational concepts of applying machine learning algorithms and application of decision trees.

Difficulty: Advanced
Difficulty: Approximately 3 hours

Banking & Financial Services

Application Of Descriptive Analytics in Banking

This project focuses on building a strong foundation on the Descriptive analysis and methods to identify trends and relationships.

Difficulty: Advanced
Difficulty: Approximately 3 hours

Banking & Financial Services

Historical Campaign Performance Dashboard

This project emphasizes on the set of related concepts of Exploratory Data Analysis techniques and data management operations.

Difficulty: Advanced
Duration: Approximately 3 hours

Banking & Financial Services

Customer Profiling Using Statistical Analysis

This project focuses on building a strong foundation on the concept of Statistical analysis and Hypothesis Testing to classify each customer into eith

Difficulty: Advanced
Duration: Approximately 3 hours

Banking & Financial Services

Credit Risk Modelling – Probability of Default: Model Comparison & XAI

This project enables learners to apply various data visualization functions & feature engineering techniques to select appropriate features.

Difficulty: Beginner
Duration: Approximately 2 hours

Banking & Financial Services

Predicting Customer Churn – Artificial Neural Networks

The case study is designed for learners to understand the basics of Artificial Neural Networks and further using the same for predicting customer chur

Difficulty: Advanced
Duration: Approximately 3 hours

Banking & Financial Services

Predicting Credit Card Spend – Artificial Neural Networks

The case study introduces to the potential of deep learning model an emerging artificial intelligence technology to assess the probability of credit c

Difficulty: Advanced
Duration: Approximately 3 hours

Banking & Financial Services

Predicting Startup Acquisition

The case study is designed for users to learn the basics of Machine Learning models (Decision Tree, Random Forest Classifier) as well as demonstrate h

Difficulty: Advanced
Duration: Approximately 3 hours

Banking & Financial Services

Detecting Credit Card Fraud Using Feature Engineering

The case study will allow learners to understand the concept of Feature Engineering Techniques for transforming the data in a format suitable for trai

Difficulty: Advanced
Duration: Approximatley 2 hours