In these hands-on lessons of the course, you will learn how to work with customer data and perform analysis to find insights for acquiring, retaining, and growing your customer base.
The dataset that we will be looking at in this course is the dataset containing information about the transactional data of customers. Such kind of datasets are very helpful in giving us an idea about how the customer can be identified better. We will be learning to work with transactional datasets for analyzing and understanding your customers better using various statistical and graphical methods in data science.
Note: This is a preview lesson from the course 'Customer Analytics for Businesses - Complete Crash Course'. Students can enroll in the full course by clicking here: Enroll in 'Customer Analytics for Business - Complete Crash Course' course.
This dataset contains the following information:
- CustomerID: Unique ID assigned to each customer
- InvoiceNo: Unique number assigned for each invoice
- AmountSpent: Amount spent by the customer
- InvoiceDate: Date of transaction
- Country: Name of the country where the order was placed
Use the package manager pip to install the required libraries using the requirements.txt file.
pip install -r requirements.txt
This lesson couldn't have been possible without the help from the amazing data science team at Kharpann.