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:
COMING SOON
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 @7.00 - 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

‍

Lecture:  Practical with Python
Wednesday  @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 @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

1
Register through application form
2
Finalize the payment to book your slot
3
Prepare yourself before the class
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