Market Basket Analysis in R

Starting at USD 39.00
4 hours duration

Explore association rules in market basket analysis with R by analyzing retail data and creating movie recommendations.

During your recent visit to the supermarket, you may have noticed a correlation between the items in your shopping basket, such as spaghetti and tomatoes or ham and pineapple. Both online and offline retailers leverage data from millions of customer transactions to analyze these associations and gain valuable insights using association rules. In this course, you will learn how to employ market basket analysis to quantify the degree of association between items and uncover hidden connections. By visualizing relevant and insightful rules, you will be able to extract meaningful information from the data. To apply your newfound knowledge, you will work with a movie dataset and predict which movies are commonly watched together. This will enable you to create personalized movie recommendations for users, enhancing their movie-watching experience.

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DataCamp is an online learning platform that offers interactive courses and tutorials for data science and analytics. It provides a wide range of courses covering topics such as Python, R, SQL, machine learning, data visualization, and more. The platform offers a hands-on learning experience through coding exercises and projects, allowing users to practice and apply their skills in real-world scenarios. DataCamp also offers a personalized learning experience with adaptive learning technology that adjusts the course content based on the user's skill level and progress. It is widely used by individuals, professionals, and organizations to enhance their data science skills and stay up-to-date with the latest trends and technologies in the field.
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