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Customer Analytics in Python 2019

Customer Analytics in Python 2019

Customer Analytics in Python 2019
Free Coupon Discount - Customer Analytics in Python 2019, Beginner and Advanced Customer Analytics in Python: PCA, K-means Clustering, Elasticity Modeling & Deep Neural Networks
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Created by 365 Careers, 365 Careers Team
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What you'll learn
  • Master beginner and advanced customer analytics
  • Learn the most important type of analysis applied by mid and large companies
  • Gain access to a professional team of trainers with exceptional quant skills
  • Wow interviewers by acquiring a highly desired skill
  • Understand the fundamental marketing modeling theory: segmentation, targeting, positioning, marketing mix, and price elasticity;
  • Apply segmentation on your customers, starting from raw data and reaching final customer segments;
  • Perform K-means clustering with a customer analytics focus;
  • Apply Principal Components Analysis (PCA) on your data to preprocess your features;
  • Combine PCA and K-means for even more professional customer segmentation;
  • Deploy your models on a different dataset;
  • Learn how to model purchase incidence through probability of purchase elasticity;
  • Model brand choice by exploring own-price and cross-price elasticity;
  • Complete the purchasing cycle by predicting purchase quantity elasticity
  • Carry out a black box deep learning model with TensorFlow 2.0 to predict purchasing behavior with unparalleled accuracy
  • Be able to optimize your neural networks to enhance results

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