Description
In the course Customer Segmentation by Peformance - A Data Analysis Project, you will discover how to conduct a comprehensive analysis using accessible tools like Google Sheets and Google Looker Studio (formerly known as Google Data Studio) to derive useful insights for your business. Moreover, by the course's conclusion, you'll reach to a segmented list of synthetic customers divided into four groups based on their performance, specifically their profitability to your business. Of course, there are several unsupervised learning algorithms suitable for such scenarios. I am referring to clustering algorithms such as K-means, DBSCAN, Hierarchical Clustering, Gaussian Mixture Models, and so forth. However, this course primarily focuses on leveraging Descriptive Statistics, Data Visualization techniques, and interactive dashboards to swiftly and meaningfully segment customers. These insights are crucial for making strategic decisions. Once you have data properly structured, Customer Segmentation by Peformance Analysis will allow you to understand your customers and serve as a starting point for new business questions. In addition, that kind of analysis can be certainly be performend in any other Data Analytics tools, highlighting the incredible versatility of Data Science & Analytics. Last but not least, this analysis could be surely applied for products and products categories by the way. I hope you enjoy the process and the value of this analysis.
