Beginner and Advanced Customer Analytics in Python: PCA, K-means Clustering, Elasticity Modeling & Deep Neural Networks

Customer Analytics in Python

Name: Statistical Modeling for Customer Behavior via Python
Rating: 6.2

Instructor365 Careers

Duration5h 11m

Students16.6K

Rating4.6 (1,623)

Statistical Modeling for Customer Behavior via Python

Strengths

Diverse Statistical Modeling

The curriculum covers specialized modeling including Binomial and Multinomial Logistic Regression for brand choice, alongside Linear Regression for quantity elasticity.

Best suited to

Learners with existing Python and statistics knowledge
Data scientists expanding into marketing analytics
Quantitative analysts seeking deep learning applications

Less suited to

Beginners requiring step-by-step coding explanations
Learners without a foundation in Python libraries

Editorial course preview

What the public course preview actually shows

These 4 complementary views highlight concrete, legible examples from the course presentation.

A man in a blue sweater stands behind a graphic overlay showing a workflow sequence: Theory with a book icon, K-means Clustering with a cluster diagram, and PCA Dimensionality. — Preview 1 of 4
An instructor presents a visual curriculum map highlighting the progression from theoretical foundations to K-means clustering and Principal Component Analysis for dimensionality reduction.

A man in a blue sweater stands behind a teal banner displaying four white icons labeled Exercises, Homework, Downloadables, and Quizes. — Preview 2 of 4
The instructor presents a menu of course resources including exercises, homework assignments, downloadable materials, and quizzes to support practical learning.

A man in a blue sweater stands behind a split graphic overlay featuring an orange section with a robot icon labeled 'Deep Learning' and a teal section reading 'Predicting Customer' — Preview 3 of 4
The image displays a presenter standing behind a graphic banner that connects the concept of Deep Learning, represented by a robot icon, to the business application of Predicting Customer Conversion.

A man wearing glasses and a blue sweater stands against a white background with a teal arrow graphic displaying a bar chart icon and the text 'Descriptive Statistics'. — Preview 4 of 4
An instructor introduces the topic of descriptive statistics, highlighted by a teal banner featuring a bar chart icon and clear text overlay.

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