Python Data Visualization: Matplotlib & Seaborn Masterclass
Bring your data to LIFE and master Python's most popular data analytics & visualization libraries: Matplotlib & Seaborn
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
About The Course : Python Data Visualization: Matplotlib & Seaborn Masterclass
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