Customer Segmentation Analysis & Predict Consumer Behaviour

About this course

Welcome to Customer Segmentation Analysis & Predicting Consumer Behaviour course. This is a comprehensive project based course where you will learn step by step on how to perform customer segmentation analysis on sales data and also build machine learning models for predicting consumer behaviour. This course is a perfect combination between data science and customer analytics, making it an ideal opportunity to level up your analytical skills while improving your technical knowledge in predictive modelling. In the introduction session, you will learn the basic fundamentals of customer segmentation analysis, such as getting to know its real world applications, getting to know more about machine learning models that will be used, and you will also learn about technical challenges and limitations in customer analytics. Then, in the next section, you will learn about predictive customer analytics workflow. This section will cover data collection, data preprocessing, feature engineering, train test split, model selection, model training, model evaluation, and model deployment. Afterward, you will also learn about several factors that influence consumer behaviour, for example, psychological, economic, social, technology, personal, and culture. Once you have learnt all necessary knowledge about customer analytics, then, we will start the project. Firstly you will be guided step by step on how to set up Google Colab IDE. In addition to that, you will also learn how to find and download customer segmentation dataset from Kaggle. Once everything is all set, we will enter the first project section where you will explore the dataset from multiple angles, not only that, you will also visualize the data and try to identify trends or patterns in the data. In the second part, you will learn how to segment customer data using K-means clustering to group customers based on their shared characteristics. This will provide insights into distinct customer segments, enabling personalized marketing and tailored business strategies