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Python Data Visualization: Matplotlib & Seaborn Masterclass

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Python Data Visualization: Matplotlib & Seaborn Masterclass
Python Data Visualization Matplotlib Seaborn Masterclass

Learn Python's Matplotlib + Seaborn libraries for data analytics & business intelligence, w/ a top Python instructor!

Product Brand: Udemy

Editor's Rating:
4.7
Python Data Visualization: Matplotlib & Seaborn Masterclass
Python Data Visualization Matplotlib Seaborn Masterclass

Learn Python's Matplotlib + Seaborn libraries for data analytics & business intelligence, w/ a top Python instructor!

Product Brand: Udemy

Editor's Rating:
4.7

Udemy Coupon Code for Python Data Visualization: Matplotlib & Seaborn Masterclass Course. Bring your data to LIFE and master Python’s most popular data analytics & visualization libraries: Matplotlib & Seaborn

Created by Maven Analytics, Chris Bruehl | 7.5 hours of video course

Python Data Visualization Course Overview

Python Data Visualization: Matplotlib & Seaborn Masterclass

This is a hands-on, project-based Python Data Visualization: Matplotlib & Seaborn Masterclass 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.

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

Python Data Science: Unsupervised Machine Learning

Python Data Science: Unsupervised Machine Learning

Learn Python for data science & machine learning, and build unsupervised learning models w/ a top Python instructor!

This is Python Data Science: Unsupervised Machine Learning hands-on, project-based course designed to help you master the foundations for unsupervised learning in Python. We’ll start by reviewing the data science workflow, discussing the techniques & applications of unsupervised learning, and walking through the data prep steps required for modeling. You’ll learn how to set the correct row granularity for modeling, apply feature engineering techniques, select relevant features, and scale your data using normalization and standardization.

Python Data Science: Data Prep & EDA with Python

Python Data Science: Data Prep & EDA with Python

Learn Python + Pandas for data cleaning, profiling & EDA, and prep data for machine learning & data science with Python

This is Python Data Science: Data Prep & EDA with Python hands-on, project-based course designed to help you master the core building blocks of Python for data science. We’ll start by introducing the fields of data science and machine learning, discussing the difference between supervised and unsupervised learning, and reviewing the data science workflow we’ll be using throughout the course.

From there we’ll do a deep dive into the data prep & EDA steps of the workflow. You’ll learn how to scope a data science project, use Pandas to gather data from multiple sources and handle common data cleaning issues, and perform exploratory data analysis using techniques like filtering, grouping, and visualizing data.

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

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Taught by Chris Bruehl

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