Customer Analytics in Python faq

star-rating
4.6
learnersLearners: 14,396
instructor Instructor: 365 Careers365 Iliya Valchanov instructor-icon
duration Duration: duration-icon

This course is the perfect way to stand out from the crowd and acquire a rare and highly valuable skillset. Customer Analytics in Python is a comprehensive course that covers the most exciting methods used by companies, all implemented in Python. With the help of 3 experienced instructors, you will learn about the marketing fundamentals, cluster analysis, dimensionality reduction, descriptive statistics, elasticity modeling, and deep learning. Through this course, you will gain the knowledge and skills to perform customer analytics and make accurate predictions about customer behavior.

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Course Feature Course Overview Pros & Cons Course Provider Discussion and Reviews
Go to class

Course Feature

costCost:

Paid

providerProvider:

Udemy

certificateCertificate:

Paid Certification

languageLanguage:

English

start dateStart Date:

2020-11-02

Course Overview

❗The content presented here is sourced directly from Udemy platform. For comprehensive course details, including enrollment information, simply click on the 'Go to class' link on our website.

Updated in [July 18th, 2023]

This course, Customer Analytics in Python, is the perfect way to distinguish yourself with a rare and extremely valuable skillset. It covers some of the most exciting methods used by companies, all implemented in Python. The course is divided into 5 major parts, each of which will have its strong sides and shortcomings. The course author, Nikolay Georgiev, is a Ph.D. who has focused on marketing analytics during his academic career and has gained significant practical experience while working as a consultant on numerous world-class projects.

In the first part, students will be introduced to the relevant theory needed to start performing customer analytics. The second part will cover cluster analysis and dimensionality reduction to help students segment their customers. The third part consists of applying descriptive statistics as the exploratory part of the analysis. The fourth part will engage with elasticity modeling for purchase probability, brand choice, and purchase quantity. Finally, the fifth part will leverage the power of Deep Learning to predict future behavior.

Throughout the course, students will be working with several popular packages such as NumPy, SciPy, and scikit-learn. They will also be able to visualize the data appropriately to build their understanding of the methods even further.

This course is created by 3 instructors working closely together to provide the most beneficial learning experience. With 550,000+ students here on Udemy, the best education requires a remarkable teaching collective and a practical approach. This course provides both.

Course Syllabus

Introduction

A Brief Marketing Introduction

Setting up the Environment

Segmentation Data

Hierarchical Clustering

K-Means Clustering

K-Means Clustering based on Principal Component Analysis

Purchase Data

Descriptive Analyses by Segments

Modeling Purchase Incidence

Modeling Brand Choice

Modeling Purchase Quantity

Deep Learning for Conversion Prediction

Pros & Cons

Pros Cons
  • pros

    Practical and complete: Users appreciate that the course provides practical knowledge and covers a wide range of topics related to customer analytics. Excellent explanation of concepts: Users find the explanations of concepts related to demand and elasticity outstanding and valuable.

  • cons

    Buggy and messy code: Some users complain about the code being buggy and messy, making it difficult to follow along and generalize the skills learned in the course. Fast-paced coding: A few users find the coding parts of the course to be too fast, making it challenging to keep up without pausing the videos frequently.

Course Provider

Provider Udemy's Stats at AZClass

Discussion and Reviews

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faq FAQ for Marketing Analytics Courses

Q1: Does the course offer certificates upon completion?

Yes, this course offers a paid certificate. AZ Class have already checked the course certification options for you. Access the class for more details.

Q2: How do I contact your customer support team for more information?

If you have questions about the course content or need help, you can contact us through "Contact Us" at the bottom of the page.

Q3: How many people have enrolled in this course?

So far, a total of 14396 people have participated in this course. The duration of this course is hour(s). Please arrange it according to your own time.

Q4: How Do I Enroll in This Course?

Click the"Go to class" button, then you will arrive at the course detail page.
Watch the video preview to understand the course content.
(Please note that the following steps should be performed on Udemy's official site.)
Find the course description and syllabus for detailed information.
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Add your desired course to your cart.
If you don't have an account yet, sign up while in the cart, and you can start the course immediately.
Once in the cart, select the course you want and click "Enroll."
Udemy may offer a Personal Plan subscription option as well. If the course is part of a subscription, you'll find the option to enroll in the subscription on the course landing page.
If you're looking for additional Marketing Analytics courses and certifications, our extensive collection at azclass.net will help you.

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