Machine Learning for Marketing in Python

Starting at USD 39.00
4 hours duration

From customer lifetime value, predicting churn to segmentation - learn and implement Machine Learning use cases for Marketing in Python.

The field of marketing has been forever transformed by the rise of machine learning and the application of statistical methods. These advancements have allowed for the optimization of customer journeys, resulting in increased satisfaction and lifetime value. This course aims to provide you with the essential tools needed to enhance your company's marketing strategy. Throughout the course, you will learn various techniques to accurately predict customer churn and analyze its underlying factors. Additionally, you will gain the ability to measure and forecast customer lifetime value, as well as create customer segments based on their purchasing patterns. Practical exercises will involve utilizing customer data from a telecom company to predict churn, constructing a recency-frequency-monetary dataset from an online retailer for customer lifetime value prediction, and building customer segments using product purchase data from a grocery shop. By the end of this course, you will possess the skills necessary to immediately apply these foundational tools to improve your company's marketing approach.

About Provider

DataCamp
DataCamp
Online Education Provider ยท 410 courses
Description
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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