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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.
LIVE, INSTRUCTOR-LED
TRAINING AT YOUR SITE
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Feb 12 - 14 9:00 AM - 4:30 PM EST Ottawa / Online (AnyWare) Reserve Your Seat
Feb 26 - 28 9:00 AM - 4:30 PM EST Herndon, VA / Online (AnyWare) Reserve Your Seat
Apr 1 - 3 9:00 AM - 4:30 PM EDT New York / Online (AnyWare) Reserve Your Seat
May 13 - 15 9:00 AM - 4:30 PM EDT Ottawa / Online (AnyWare) Reserve Your Seat
Jun 3 - 5 9:00 AM - 4:30 PM EDT Herndon, VA / Online (AnyWare) Reserve Your Seat
Jul 8 - 10 9:00 AM - 4:30 PM EDT New York / Online (AnyWare) Reserve Your Seat
Aug 19 - 21 9:00 AM - 4:30 PM EDT Ottawa / Online (AnyWare) Reserve Your Seat
Sep 2 - 4 9:00 AM - 4:30 PM EDT Herndon, VA / Online (AnyWare) Reserve Your Seat
Sep 30 - Oct 2 9:00 AM - 4:30 PM EDT New York / Online (AnyWare) Reserve Your Seat
Nov 11 - 13 9:00 AM - 4:30 PM EST Herndon, VA / Online (AnyWare) Reserve Your Seat
Dec 2 - 4 9:00 AM - 4:30 PM EST Ottawa / Online (AnyWare) Reserve Your Seat
Guaranteed to Run
When you see the "Guaranteed to Run" icon next to a course event, you can rest assured that your course event — date, time, location — will run. Guaranteed.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.