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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

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?

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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, 10 Juni 2026

|

19.00 - 21.00 WIB

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."

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