Download Python Data Visualization: Matplotlib & Seaborn Masterclass

What you would learn in Python Data Visualization: Matplotlib & Seaborn Masterclass course?

This interactive, project-based, hands-on course is designed to teach you two well-known Python programs to display data: Matplotlib & Seaborn.

We'll begin with a brief overview of data visualization frameworks and best practices. Then, we'll examine the most critical visuals, common mistakes, and compelling storytelling and communication strategies.

We'll then dive into the fundamentals of Matplotlib and build and customize bar charts, line charts, pies and donuts, scatterplots, histograms, and many more. We'll go through the elements of a Matplotlib figure, present typical chart formatting techniques and then look into advanced customization options such as subplots GridSpec styles sheets, as well as parameters and style sheets.

We'll also introduce the Python Seaborn library. We'll begin by creating basic charts. Then we'll dive into more complex visuals like boxes and violin plots, heat maps, PairPlots, FacetGrids, and more.

Through the course, you'll assume the consultant role at Maven Consulting Group, which offers strategic guidance to businesses across the globe. You'll apply your knowledge to various real-world cases and studies, ranging from hotel customer demographics, diamond ratings, car sales, and coffee prices.

COURSE Outline:

• Intro to Data Visualization

  • Learn about data visualization tools and best practices for selecting the most appropriate charts, applying efficient formatting, and sharing clearly, data-driven stories and data-driven insights

• Matplotlib Fundamentals

  • Learn Python's Matplotlib library's capabilities and use it to create and personalize a range of essential chart types, such as bar charts, line charts, pie/donut charts, scatterplots, and histograms.

• PROJECT 1 Analyzing the Global Coffee Market

  • Download data to Python using CSV files supplied by a significant coffee trader. Then, utilize Matplotlib to display prices and volume data for each country.

• Advanced Customization

  • Utilize advanced customization techniques in Matplotlib, such as multi-chart illustrations, Custom layout and styles sheets, colors grid spec, parameters, and more.

• PROJECT #2: Visualizing Global Coffee Production

  • Continue your research into the world coffee market, and use sophisticated data visualization and formatting methods to create a complete report that communicates key findings.

• Data Visualization using Seaborn

  • Visualize data using Python's Seaborn library. Create custom visuals with additional chart types, such as box plots, violin plots, pair plots, joint plots, heatmaps, and many more.

• Project #3 Studying Used Car Sales

  • Utilize Seaborn and Matplotlib to analyze, explore and visualize data from auctions for cars to assist your client in identifying the best prices on service vehicles used for the company.

Content of the Course

• Learn the basics in Matplotlib & Seaborn, two of Python's most robust data visualization tools
• Create and format more than 20 chart types with Matplotlib & Seaborn, including bar charts, line charting, scatter plots, violin plots, histograms, heatmaps, and more.
• Explore advanced customization options such as gridspec, subplots sheets, and parameter
• Use best practices in storytelling, data visualization formatting, visual design, and data visualization.
• Develop powerful, practical skills to be able to use modern analytics and business intelligence

Download Python Data Visualization: Matplotlib & Seaborn Masterclass from below links NOW!