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The Udemy course titled ‘เรียน Python Data Wrangling Programming สำหรับ Data Science’ offers an in-depth journey into data cleaning and analysis using Python, specifically focusing on the Pandas library. Designed for learners of all levels, it does not require prior programming experience, making it accessible for beginners and seasoned data enthusiasts alike.

The course is structured into four main sections, starting with an introduction to data analysis and hands-on data cleaning techniques. The beginner section covers foundational skills such as viewing data, selecting and organizing columns and rows, and generating summary statistics. Moving into intermediate territory, learners explore handling missing data, removing duplicates, and grouping data with ‘groupby’ and aggregation functions. The advanced modules delve into creating custom functions for data quality checks, detailed statistical summaries, class creation, and data visualization techniques.

What makes this course stand out is its practical approach—each module includes workshops that allow learners to apply concepts immediately. The step-by-step instructions make complex processes understandable, empowering students to clean and analyze data efficiently.

I highly recommend this course for anyone interested in data science, especially those looking to strengthen their data wrangling skills. Whether you’re a beginner wanting to learn Python for data analysis or an experienced analyst looking to refine your cleaning techniques, this course provides a comprehensive toolkit to handle real-world data challenges confidently.

Enroll Course: https://www.udemy.com/course/pythondatawrangling/