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Swipe Right on Data: How Dating Apps Use Data Analytics to Find Your Match

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Belajar skill digital lebih dalam, LIVE bareng top instructors!

Rabu, 29 April 2026

|

19.00 - 21.00 WIB

100% Gratis

Kelas LIVE dan Interaktif

Topik & Materi Baru dan Selalu Up-to-Date

Ray Efraim

Data Analyst at Blibli

Profile Speaker:
  • 6+ Years of experience 

  • Rating : 4.97/5.00

  • RevoU Full-Stack Data Analytics Instructor

  • RevoU Kampus Merdeka Data Analytics Instructor

  • Ex Data Scientist at PT Metra-Net

  • Ex Data Analyst at Deliveree

Kenapa Harus Belajar di RevoU Masterclass?

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Kelas ini cocok untukmu jika kamu ingin:

Mengeksplorasi peluang karier di bidang digital

Menambah wawasan tentang karier dan profesi di bidang digital

Mempelajari ilmu dan skill yang dibutuhkan untuk memulai karier di bidang digital

Jangan Sampai Ketinggalan.
Daftar Sekarang!

Rabu, 29 April 2026

|

19.00 - 21.00 WIB

Kamu akan belajar tentang

Swipe Right on Data: How Dating Apps Use Data Analytics to Find Your Match

Rabu, 29 April 2026 | 19.00 - 21.00 WIB


Kamu akan mempelajari:


How Your Every Swipe Becomes Data

  • Discover how apps collect both profile and behavioral data, from swipe direction to watch time and response speed. Learn why algorithms trust what users do more than what they say.


How Matching Algorithms Actually Work

  • Learn the end-to-end data workflow behind app recommendations, from defining the business problem and collecting user interactions to preparing data and building simple recommendation logic.


The Secret Score Behind Who You See

  • Explore how desirability scoring works using an Elo-style system and understand the cold start problem for new users. We’ll also discuss how bias can be unintentionally built into algorithms.


The Same Logic Behind Netflix and TikTok

  • See how the same recommendation framework powers apps you use every day, including Netflix, Spotify, and TikTok. Understand how one data model can be applied across industries.


The Skills Behind Becoming a Data Analyst

  • Wrap up by connecting the session to real-world data analyst skills, including SQL, Python, statistics, and storytelling, plus how you can start practicing with real datasets.

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