Explanation
Python Data Visualization: Matplotlib & Seaborn Masterclass This is a hands-on, project-based course designed to help you learn two of the most popular Python packages for data visualization: Matplotlib & Seaborn. We’ll start with a quick introduction to data collection structures and best practices, and review key visuals, common mistakes, and tips for effective communication and storytelling. There we’ll dive into the basics of Matplotlib, practice building and manipulating line charts, pie charts, pies & donuts, scatter plots, histograms and more. We’ll break down the components of a Matplotlib chart and introduce common chart formatting techniques, then explore advanced customization options like subplots, GridSpec, style sheets and dimensions.
Finally we will introduce Python’s Seaborn library. We’ll start by building basic charts, then dive into advanced visuals like box & violin plots, PairPlots, heat maps, FacetGrids, and more. 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’ll practice applying your skills to a variety of real-world projects and case studies, from hotel customer counts to diamond valuations, coffee prices and car sales. If you are a data scientist, BI analyst or data engineer looking to add Matplotlib & Seaborn to your Python toolkit, this is the course for you!
What will you learn?
- Learn the essentials of Matplotlib & Seaborn, two of Python’s most powerful data packages.
- Design and layout 20+ types of charts using Matplotlib & Seaborn, including line charts, bar charts, scatter plots, histograms, violin plots, heat maps and more
- Explore advanced customization options such as subplots, gridspec, style sheets and parameters
- Apply best practices in data collection, storytelling, modeling and visual design Build powerful, practical skills in sophisticated analytics and business intelligence
Who is this course for?
- Analysts or BI professionals looking to learn data visualization with Matplotlib and Seaborn
- Aspiring data scientists who want to build or strengthen their Python data visualization skills
- Anyone interested in learning one of the most popular open source programming languages in the world
- Students looking to learn powerful skills, practical techniques with unique, hands-on projects and course presentations
Specializing in Python Data Graphing: Matplotlib & Seaborn Masterclass
Python Data Visualization Essentials: Matplotlib & Seaborn Masterclass
Requirements
- I’ll be using Anaconda & Jupyter Notebooks (a free, user-friendly coding environment)
Pictures
Sample Clip
Installation Guide
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Download Links
Password file: free download software
file size
2.22 GB