From the course: Business Analytics Foundations: Descriptive, Exploratory, and Explanatory Analytics

Course use cases

From the course: Business Analytics Foundations: Descriptive, Exploratory, and Explanatory Analytics

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Course use cases

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- [Instructor] We are going to be using two sets of data as examples and use cases in this course. The first data set is about heart diseases, specifically heart disease measurements for a set of individuals. It contains popular measures like blood pressure, cholesterol, sugar, et cetera. This is used to code examples during the lecture videos. Here is the data structure for this data set. We have different segments for the patients like age group, age, sex, weight range, and weight. And we have measures like chest pain type, resting blood pressure, cholesterol, and high sugar. The second data set is about email campaigns and conversions. It is about a business that sends out emails periodically to potential customers with offers for their products. You should be receiving these kind of emails and offers from multiple stores. They offer different discount rates from time to time. Email readers may choose to click and view the offers and might also buy them. One year's worth of such data is available for analysis in this course. The data set captures details of the offers, the customer types, and whether they bought and converted. For sake of ease of us, we have kept the size of this data set to a very small number. The data set contains the following information. It has details about the offer made, including the offer date, the day of the week, the month, the product, price of the product, and the discount offered. It also contains information about the customer, including their ID, gender, age range, and earning range. Finally, it captures whether the customer used the offer and bought the product. In other words, did the customer convert or not?

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