Machine Learning for Absolute Beginners - Level 3
Learn how to create appealing data visualization charts
Created by Idan Gabrieli
Explore the essentials of data visualization in Python using Matplotlib and Seaborn. Learn how to turn raw data into clear, engaging charts and perform exploratory data analysis to uncover insights. Build practical skills that help you communicate findings visually and effectively.
Packt | Dec 2020 | 179 min
What You Will Learn
You will work hands-on with Python, Matplotlib, and Seaborn, building a range of charts from scratch. Through practical exercises, you will learn how to customize figures, use axes, and apply different visualization techniques. Each step helps you apply what you learn to real data, making your skills immediately useful.
Key Features
- Master the basics of Matplotlib and Seaborn for creating visualizations in Python
- Develop a variety of charts to analyze trends, distributions, and relationships in data
- Gain confidence in performing exploratory data analysis using visual tools
Target Audience
Perfect for those with basic Python and Pandas knowledge who want to visualize data more effectively. If you are looking to build confidence in data analysis and communicate insights visually, this is a great next step. Ideal for beginners in data science aiming to expand their practical skills.
