Customer Analytics in Python 2022 | LinkedIn


Customer Analytics in Python 2022 | LinkedIn
English | Size: 1.55 GB
Genre: eLearning

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

Who this course is for:
People who want a career in Data Science
People who want a career in Business Intelligence
Individuals who are passionate about numbers and quant analysis
People working in Data Science looking to expand their knowledge into Marketing analytics
People working in Marketing, looking for career growth in the realms of Data Science

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