Crash Course

Fundamentals of Data Visualization – Part I

Get started with this applied course focusing on the building blocks of analytics.

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  Difficulty: Beginner
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  Duration: Approximately 3 hours

Retail & Consumer Goods

Determine Ideal Customer Profile Using Unsupervised Learning

This case focuses on building strong foundation on the concepts of Unsupervised Learning Techniques on clustered data.

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  Difficulty: Beginner
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  Duration: Approximately 2 hours

Insurance

Insurance Claims Customer Sentiment Analysis

This project introduces the learner to the concept of Sentiment Analysis Deep Learning & NLP.

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  Difficulty: Advanced
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  Duration: Approximately 3 hours

Human Resources

Analyzing Employee Performance with Exploratory Data Analysis

This project exposes the learner to various Data Visualization Techniques to analyze Employee Performances.

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  Difficulty: Beginner
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  Duration: Approximately 2 Hours

Insurance

Predicting Health Insurance Premium Prices – Regression

This project focuses on building a strong foundation on the concept of Regression using a use case of Health insurance premium.

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  Difficulty: Advanced
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  Duration: Approximately 3 hours

Telecommunications

Detecting Android Mobile Malware applications using Advanced Classification techniques

This project exposes to one of the well-known supervised machine learning modeling families most commonly known as Classification.

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  Difficulty: Advanced
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  Duration Approximately 3 hours

Insurance

Exploratory Data Analysis on Travel Insurance Data

This project exposes the learner to various Data Visualization Techniques to analyze travel insurance data for Global customers.

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  Difficulty: Beginner
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  Duration: Approximately 2 hours

Insurance

Fraud Detection for Automobile Insurance Claims

This project exposes to one of the well-known supervised machine learning model families most commonly known as Classification.

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  Difficulty: Advanced
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  Duration: Approximately 3 hours

Insurance

Predicting Health Insurance Cross-Selling – Feature Engineering

This project focuses on building a strong foundation on the concept of Regression using a use case of Health insurance premiums.

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  Difficulty: Advanced
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  Duration: Approximately 3 hours

Telecommunications

Customer Behavior Analysis using Feature Engineering and Data Modelling

This project enables learners to apply different Feature Engineering techniques to select appropriate features for Data Modeling.

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  Difficulty: Beginner
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  Duration: Approximately 3 hours

Healthcare

Analyzing Chronic Kidney Disease – Feature Engineering

This project enables learners to apply different Feature Engineering techniques to select appropriate features for Data Modeling.

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  Difficulty: Beginner
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  Duration: Approximately 2 hours

Other Industries

Analyzing House Sales With Explainable AI (XAI)

This course introduces foundational concepts of machine learning models to predict performance of house sales.

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  Difficulty: Advanced
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  Duration: Approximately 3 hours