Free Coupon Discount - Customer Analytics in Python 2019, Beginner and Advanced Customer Analytics in Python: PCA, K-means Clustering, Elasticity Modeling & Deep Neural Networks
NEW
Created by 365 Careers, 365 Careers Team
English
English [Auto-generated]
PREVIEW THIS COURSE - GET COUPON CODE
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
