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Python Data Visualization: Matplotlib & Seaborn Masterclass

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


. 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

Online Course CoupoNED based Analytics Education Company and aims at Bringing Together the analytics companies and interested Learners.