English | Size: 477 MB
Genre: eLearning
Python Data Processing and Visualization course. This comprehensive course takes you on an in-depth journey into the world of data processing and visualization using Python. We’ll start from the basics and introduce you to the fundamental concepts of data manipulation, focusing on powerful libraries like Pandas and NumPy. Throughout the course, we provide practical exercises and real-world examples to ensure you gain practical skills for working with different types of data, including structured and unstructured formats. Then we’ll dive into the art of data visualization, where you’ll learn how to present your data in visually appealing formats using popular libraries like Matplotlib, Seaborn, and Plotly. This course covers different types of charts, including line charts, bar charts, histograms, scatter charts, heat maps, and more, helping you understand when and how to use each type effectively. Whether you’re a beginner looking to develop basic data processing skills or a seasoned professional looking to expand your visualization toolbox, this course provides everything you need to succeed in modern data analysis.
What you will learn in the Python Data Processing and Visualization course
Understand how to manipulate data using core Python libraries such as Pandas and NumPy.
Create engaging visualizations to effectively communicate insights using Matplotlib and Plotly.
Apply data processing techniques to clean and convert data into a usable format.
Gaining the ability to identify data patterns and present them clearly through visual narrative.
This course is suitable for people who
Data analysts, data scientists and professionals looking to sharpen their data processing skills.
Anyone looking to improve their ability to analyze and visualize data to make better decisions.
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