Machine Learning in Retail
About this Course
Who are your customers? What are they like? How do they interact with your business? This Short Course was created to help analysts better understand their customer behaviour through the power of machine learning. In this course, you will apply two different machine learning techniques to segment customers according to their purchasing behaviour and provide actionable insights for each group. Along the way, you\'ll also examine some other retail case studies, including web visitor analysis for marketing and store clustering for logistics. By the end, you\'ll be able to use customer purchase data to group customers using machine learning, analyse your results to extract business insights and apply multiple types of machine learning to generate business value. This course is unique because it focuses strongly on interpreting your data within a retail context and supports you in identifying opportunities for machine learning in your workplace. To be successful in this project, you should already be familiar with Python Pandas for data manipulation, filtering and aggregation. You should also have some experience with basic principles of data analysis, like histograms and summary statistics.Created by: Coursera Project Network
Related Online Courses
This MOOC prepares students that want to analyse trade and investment policies of developing countries and emerging markets. We couch you for the task of giving evidence-based policy. For students... more
This course is targeted to early career and novice researchers writing their first major competitive biomedical / health research grant proposals. After the course, you will be able to: 1) Identify... more
This is the second course in Tax Academy\'s Customs Certification. This certification would provide you with relevant skills to apply Customs knowledge in less than two months. In this course, you... more
Although traditional marketing strategies are still used, companies continue to shift their focus to digital approaches such as search engines, social media. These technologies take into account... more
This course is designed for everyone, including professionals, executives, students, and enthusiasts interested in leveraging effective prompt engineering techniques to unlock the full potential of... more