Customer Analytics in Python

with Nikolay Georgiev and Elitsa Kaloyanova

Introducing you to Customer Analytics with Python. In this course, you will learn the fundamentals of marketing, as well as the practical skills to analyze customer data and predict the purchase behavior of clients.

10 hours 60 lessons
Start course
60 High Quality Lessons
5 Practical Tasks
10 Hours of Content
Certificate of Achievement

Course Overview

Customer Analytics in Python is where marketing and data science meet. These are two of the key driving forces that help companies create value and stay on top in today’s fast-paced economy. In addition, this course is packed with knowledge and includes sections on customer and purchase analytics, as well as a deep-learning model, all implemented in Python.

Topics covered

data analysisData processingfinancial analysismachine learningProgrammingPythonTheory

What You'll Learn

This course will teach you how to gain authentic insights from the customer's data, as well as how to leverage the power of machine and deep learning to perform customer analytics. This is a highly valuable and rare skillset to have both in data analytics and data science.

Perform K-means clustering
Apply principal components analysis (PCA)
Combine PCA and K-means for customer segmentation
Model purchase incidence through probability of purchase elasticity
Complete the purchasing cycle by predicting purchase quantity elasticity 
Carry out a deep learning model with TensorFlow 2.0 to predict purchasing behavior


Student feedback


296 ratings
5 stars
266 (90%)
4 stars
24 (8%)
3 stars
4 (1%)
2 stars
1 (0%)
1 star
1 (0%)
Filter by rating
  • 5 stars
  • 4 stars
  • 3 stars
  • 2 stars
  • 1 stars
  • Newest
  • Oldest
the code is not always functionen. Furthermore some of the libs that are referred to are not possible to retrieve such as from sklearn.preprocessing import StandardScalar
i thought i know much not until i check 365 data science i was very insightful am very happy i utilizes this opportunity wisely and i have really take a lot from them
This course is very practical. Only on the beginning there are few theory lessons about price elasticity (very important to me!).
I am Loving it.....Awesome content, so I will say Omoshiroi!!!!(meaning Interesting in Japanese)
The course is great .. I have learned a lot from Customer Segmentation, Purchase Elasticity etc.
  • 1
  • 2
  • 3
  • ...
  • 5
  • ...
  • 8
Nikolay Georgiev

“In this course, you will learn beginner and advanced customer analytics in Python: Marketing theory, PCA, K-means clustering, Elasticity modeling, and Deep neural networks. This is a learning journey that builds a bridge between marketing theory and practical implementation with Python.”

Nikolay Georgiev

Director at KBC Group

Courses You May Like

Customer Analytics in Python

with Nikolay Georgiev and Elitsa Kaloyanova

Start Course