Python Data Processing and Visualization

Master Data Manipulation and Visualization with Python

This comprehensive course is designed to take you on an in-depth journey through the world of data processing and visualization using Python.

What you’ll learn

  • Understand how to manipulate data using Python’s core libraries, such as Pandas and NumPy..
  • Create compelling visualizations to communicate insights effectively using Matplotlib and Plotly..
  • Apply data processing techniques to clean and transform data into a usable format..
  • Gain the ability to identify data patterns and present them clearly through visual storytelling..

Course Content

  • 導入編 –> 9 lectures • 16min.
  • 初級編 –> 9 lectures • 14min.
  • 中級編 –> 10 lectures • 17min.
  • 上級編 –> 6 lectures • 8min.
  • 番外編 –> 3 lectures • 5min.

Python Data Processing and Visualization

Requirements

This comprehensive course is designed to take you on an in-depth journey through the world of data processing and visualization using Python.

 

Starting from the basics, we will introduce you to the essential concepts of data manipulation, focusing on powerful libraries like Pandas, NumPy, and others.

 

Throughout the course, we will provide hands-on exercises and real-world examples, ensuring that you gain practical skills to work with different types of data, including structured and unstructured formats.

 

Our focus will then shift to the art of data visualization, where you will explore how to present your data in visually engaging formats using popular libraries such as Matplotlib, Seaborn, and Plotly.

 

The course will cover various chart types, including line charts, bar charts, histograms, scatter plots, heatmaps, and more, helping you understand when and how to use each type effectively.

 

Whether you are a beginner looking to develop core data processing skills or an experienced professional seeking to expand your visualization toolkit, this course provides everything you need to succeed in modern data analysis.

 

By the end of this course, you will be fully equipped to clean, process, analyze, and visualize data, providing valuable insights and making informed decisions based on your analyses.

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