Customer Analytics: Data-Based Recommendation & Analytics with Advanced Customer Segmentation in Python

Understand when & why you need customer segmentation. Learn how to create customer segmentation using historical data performance. Deliver data-driven recommendation based on customer analytics to drive business growth.

Limited Slot

LIVE and Online

With Practical Assignment

Level:

Intermediate

Class date:

7 - 10 February 2023

7 seats left

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Your instructors:

Muhammad Azmi Fansuri

Data Analyst at Tokopedia

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Agenda and Syllabus

Lecture: Introduction to Customer Segmentation
Tuesday, 7 February 2023 @7.00 - 9.00 pm

Introduction to Customer Segmentation
RFM Approach to Customer Segmentation
Unsupervised Learning: Clustering with K-Means
Principal Component Analysis (PCA)
Market Basket Analysis

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Lecture: Practical with Python
Wednesday, 8 February 2023 @7.00 - 9.00 pm

Business Understanding & Data Understanding
Preparation and Cleansing Data
Applying RFM Approach to Segmenting
Applying PCA & Create K-Means
Understanding Result Cluster

Lecture: Create Data-Driven Recommendation
Friday, 10 February 2023 @7.00 - 9.00 pm

Using association rules find the product that can be recommend for campaign
Student assignment presentation: end-to-end customer segmentation & data presentation
Feedback on student's experiment
QnA Session

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Learn more about this class

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Everything you love about RevoU, but make it double.

Quality and In-depth Curriculumn

Smaller Class,
Richer Discussions

Built and Taught by Our Best Instructors

Formatted to Fit Your Work Schedule

No Admission Process for RevoU Alumni

Price and Facilities

Rp499.000

✅ Unlimited access to study resources & recording

✅ Speakers' presentation materials

✅ Practical assignments

✅ Dedicated Slack channel for class

✅ Q&A session and consultation from instructors

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‍Who can join the class?

Have finished RevoU Digital Marketing Course

Part of RevoU Community

Have previous experience in digital marketing

How to Apply

Finalize the payment to book your slot

Prepare yourself before the class

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Customer Analytics: Data-Based Recommendation & Analytics with Advanced Customer Segmentation in Python

Agenda and Syllabus

Learn more about this class