Descriptions

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 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.  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!

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 designBuild powerful, practical skills for modern analytics and business intelligence

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

Specificatoin of Python Data Visualization: Matplotlib & Seaborn Masterclass

• Publisher : Udemy
• Teacher : Maven Analytics (2,000,000+ Learners) , Chris Bruehl
• Language: English
• Level : All Levels
• Lectures : 94
• Duration : 7 hours and 31 minutes

Content of Python Data Visualization: Matplotlib & Seaborn Masterclass

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

Pictures

Sample Clip

Installation Guide

Extract the files and watch with your favorite player

Subtitle : English

Quality: 1080p

The 2024/5 version duration has reduced 2 minues compared to 2022/11. Some text files of the course have also been added.

The 2026/6 version the duration has decreased by 2 minutes compared to 2024/5.

Download Links

Download Part 1 – 1 GB

Download Part 2 – 1 GB

Download Part 3 – 155 MB

Password file(s): www.downloadly.ir

File size

2.15 GB