Customer Analytics in Python 2020 | Programming Buddy Club | Free Udemy Courses

BEGINNER AND ADVANCED CUSTOMER ANALYTICS IN PYTHON: PCA, K-MEANS CLUSTERING, ELASTICITY MODELING & DEEP NEURAL NETWORKS

Discount - $ 199.99  10.99  100% Off

• Lectures - 76 lectures
• Skill Level -Beginner Level
• Language -  English
• Published -  Last updated 1/2020
• Coupon -B05AED0D2E4193FAACC1
• Rating - 4.5 (154 ratings)
• Students Enrolled - 6,934 students enrolled

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Course Includes

• ☑️ 5 hours on-demand video

• ☑️ 12 articles

• ☑️ 13 downloadable resources

• ☑️ Full lifetime access

• ☑️ Access on mobile and TV

• ☑️ Certificate of Completion

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What Will I 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

Requirements

• ☑️ You’ll need to install Anaconda. We will show you how to do it in one of the first lectures of the course

• ☑️ Basic Python programming

• ☑️ A willingness and enthusiasm to learn and practice

Who is the target audience?

• ☑️ 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

Take this course!

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