Data Analytics Using Python Visualizations
Level up your data science, ML, and analytics with powerful visualizations using Matplotlib, Seaborn, and Bokeh visualization libraries
Created by Manas Dasgupta
Discover how to turn raw data into clear, compelling visuals using Python. You will explore practical techniques for analyzing data and presenting insights with Matplotlib, Seaborn, and Bokeh. Build confidence in creating a wide range of charts and graphs that help you communicate your findings effectively.
Packt | Jun 2022 | 386 min
What You Will Learn
You will follow hands-on, step-by-step instructions to analyze data and build visualizations from scratch. Real business scenarios and datasets help you practice Exploratory Data Analysis and visualization techniques. Regular quizzes reinforce your understanding and help you track your progress as you go.
Key Features
- Master over 20 types of Python data visualizations for real-world analytics
- Apply Exploratory Data Analysis to prepare and interpret complex datasets
- Customize charts and graphs using Matplotlib, Seaborn, and Bokeh libraries
Target Audience
Designed for data analysts, scientists, Python developers, and business professionals who want to present data visually. If you have some experience with Python and want to enhance your analytics and visualization skills, you will find practical value here. No advanced programming knowledge is required.
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