This data science for marketing analytics course starts by teaching you how to use Python libraries, such as pandas and Matplotlib, to read data from Python, manipulate it, and create plots, using both categorical and continuous variables. Then, you'll learn how to segment a population into groups and use different clustering techniques to evaluate customer segmentation. As you make your way through the chapters of this marketing analytics course, you'll explore ways to evaluate and select the best segmentation approach and go on to create a linear regression model on customer value data to predict lifetime value.
In the concluding chapters, you'll gain an understanding of regression techniques and tools for evaluating regression models and explore ways to predict customer choice using classification algorithms. Finally, you'll apply these techniques to create a churn model for modelling customer product choices.
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Data Science for Marketing Analytics is designed for developers and marketing analysts looking to use new, more sophisticated tools in their marketing analytics efforts. It'll help if you have prior experience of coding in Python and knowledge of high school level mathematics. Some experience with databases, Excel, statistics, or Tableau is useful but not necessary
Yes! We know your busy work schedule may prevent you from getting to one of our classrooms which is why we offer convenient online training to meet your needs wherever you want, including online training.