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Production-Ready Data Cleaning with Python
Headline
Belajar skill digital lebih dalam, LIVE bareng top instructors!
Rabu, 10 Juni 2026
|
19.00 - 21.00 WIB
100% Gratis
Kelas LIVE dan Interaktif
Topik & Materi Baru dan Selalu Up-to-Date
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Romansya Setyo Utomo
Data Analyst at SEA-Based Superapp Company & Ridehailing Company
Profile Speaker:
1000+ Learners Taught
20+ Total Classes
Rating: 5.00/5.00
4+ years of experience in Data/Business Analysis
3+ years of experience in Tutoring/Mentoring
Certified in Data Analytics, Machine Learning, and Artificial Intelligence
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
Production-Ready Data Cleaning with Python
Rabu, 10 Juni 2026 | 19.00 - 21.00 WIB
Kamu akan mempelajari:
Understanding Real-World Data
Learn how professional analysts approach a new dataset, assess its quality, and quickly identify potential issues before jumping into analysis. You'll discover how to navigate unfamiliar data with confidence and build the habit of asking the right questions from the very beginning.
Cleaning Messy Data Efficiently
Understand how to handle common data quality issues such as missing values, duplicate records, and inconsistent structures using Python and Pandas. More importantly, you'll understand the reasoning behind each cleaning decision so you can prepare datasets more accurately and efficiently for real business use cases.
Structuring Data for Analysis
This session will show you how analysts organize, filter, and reshape datasets to focus on the information that matters most. By the end, you'll understand how to transform a cluttered dataset into a structured foundation that supports meaningful analysis.
Exploring Data to Uncover Insights
Learn how to perform quick yet powerful exploratory analysis using Pandas, allowing you to extract valuable insights and develop a stronger analytical mindset."
