Published 10/2022
MP4 | Video: h264, 1280×720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English | Duration: 94 lectures (7h 33m) | Size: 2.74 GB
What you’ll learn
Master the essentials of Matplotlib & Seaborn, two of Python’s most powerful data visualization packages
Design and format 20+ chart types using Matplotlib & Seaborn, including line charts, bar charts, scatter plots, histograms, violin plots, heatmaps and more
Learn advanced customization options like subplots, gridspec, style sheets and parameters
Apply best practices for data visualization, storytelling, formatting and visual design
Build powerful, practical skills for modern analytics and business intelligence
Description
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 visualization frameworks and best practices, and review essential visuals, common errors, and tips for effective communication and storytelling.
From there we’ll dive into Matplotlib fundamentals, and practice building and customizing line charts, bar charts, pies & donuts, scatterplots, histograms and more. We’ll break down the components of a Matplotlib figure and introduce common chart formatting techniques, then explore advanced customization options like subplots, GridSpec, style sheets and parameters.
Finally we’ll introduce Python’s Seaborn library. We’ll start by building some basic charts, then dive into more advanced visuals like box & violin plots, PairPlots, heat maps, FacetGrids, and more.
Throughout the course you’ll play the role of a Consultant at Maven Consulting Group, a firm that provides strategic advice to companies around the world. You’ll practice applying your skills to a range of real-world projects and case studies, from hotel customer demographics to diamond ratings, coffee prices and automotive sales.
COURSE OUTLINE
Intro to Data Visualization
Learn data visualization frameworks and best practices for choosing the right charts, applying effective formatting, and communicating clear, data-driven stories and insights
Matplotlib Fundamentals
Explore Python’s Matplotlib library and use it to build and customize several essential chart types, including line charts, bar charts, pie/donut charts, scatterplots and histograms
PROJECT #1: Analyzing the Global Coffee Market
Read data into Python from CSV files provided by a major global coffee trader, and use Matplotlib to visualize volume and price data by country
Advanced Customization
Apply advanced customization techniques in Matplotlib, including multi-chart figures, custom layout and colors, style sheets, gridspec, parameters and more
PROJECT #2: Visualizing Global Coffee Production
Continue your analysis of the global coffee market, and leverage advanced data visualization and formatting techniques to build a comprehensive report to communicate key insights
Data Visualization with Seaborn
Visualize data with Python’s Seaborn library, and build custom visuals using additional chart types like box plots, violin plots, joint plots, pair plots, heatmaps and more
PROJECT #3: Analyzing Used Car Sales
Use Seaborn and Matplotlib to explore, analyze and visualize automotive auction data to help your client identify the best deals on used service vehicles for the business
Join today and get immediate, lifetime access to the following
7.5 hours of high-quality video
Python & Pandas PDF ebook (150+ pages)
Downloadable project files & solutions
Expert support and Q&A forum
30-day Udemy satisfaction guarantee
If you’re a data scientist, BI analyst or data engineer looking to add Matplotlib & Seaborn to your Python skill set, this is the course for you!
Happy learning!
-Chris Bruehl (Python Expert & Lead Python Instructor, Maven Analytics)
Who this course is 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, practical skills with unique, hands-on projects and course demos
Requirements
We’ll use Anaconda & Jupyter Notebooks (a free, user-friendly coding environment)
Familiarity with base Python is strongly recommended, but not a strict prerequisite
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