Description
Python Data Visualization: Matplotlib & Seaborn Masterclass, Data Visualization with Python and Matplotlib packages, Seaborn, is published by Udemy Academy. This is a hands-on, project-based course that helps you learn two of the most popular Python packages for data visualization: Matplotlib and Seaborn. We begin with a quick introduction to data visualization frameworks and best practices, and review essential visualizations, common mistakes, and tips for effective communication and storytelling. From here, we’ll cover the basics of Matplotlib, and practice creating and customizing line charts, bar charts, pies and donuts, scatterplots, histograms, and more. We will analyze Matplotlib components and introduce common formatting techniques, then explore advanced customization options such as subplots, GridSpec, stylesheets, and parameters.
Finally, we will introduce the Seaborn library and start by making some basic charts and then move on to more advanced visual effects such as box and violin, PairPlots, heat maps, FacetGrids, etc. During the course you will play the role of a consultant at Maven Consulting Group, a company that provides strategic advice to companies around the world. You can apply your skills to a range of real-world projects and case studies, from hotel customer demographics to diamond ratings, coffee prices and car sales. If you are a data scientist, BI analyst, or data engineer looking to add Matplotlib and Seaborn to your Python skill set, this course is for you.
What you will learn
- Getting to know the basics of Matplotlib, Seaborn, two of the most powerful Python data visualization packages
- Designing and formatting more than 20 types of charts using Matplotlib and Seaborn, including line charts, bar charts, scatter charts, histogram charts, violin charts, heatmaps, etc.
- Learn advanced customization options such as subplots, gridspec, stylesheets and parameters
- Apply best practices for data visualization, storytelling, formatting and visual design
- Building powerful and practical skills for modern analytics and business intelligence
Who is this course suitable for?
- Analysts or BI professionals looking to learn data visualization with Matplotlib and Seaborn
- Aspiring data scientists who want to brush up on their Python data visualization skills
- Interested in learning one of the most popular programming languages in the world
- Students looking to learn powerful and practical skills with unique projects and lesson demos.
Details of Python Data Visualization course: Matplotlib & Seaborn Masterclass
- Publisher: Udemy
- teacher : Maven Analytics , Chris Bruehl
- English language
- Education level: all levels
- Number of courses: 94
- Training duration: 7 hours and 33 minutes
Chapters of the Python Data Visualization course: Matplotlib & Seaborn Masterclass
Course prerequisites
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We’ll use Anaconda & Jupyter Notebooks (a free, user-friendly coding environment)
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Familiarity with basic Python is strongly recommended, but not a strict prerequisite
Pictures
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