.png)
Swipe Right on Data: How Dating Apps Use Data Analytics to Find Your Match
Headline
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
%20-%20Ray%20Efraim_edited_edited.jpg)
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?

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
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.
