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Data Visualization in python using seaborn library

What you’ll learn

  • What is Data Visualization?
  • Why Should you use Data Visualization in Analytics and Business Intelligence projects?
  • Data Visualization in Python
  • Seaborn Library
  • Distribution Plot, Histograms, KDE Plots, Scatter Plot, Rug Plot, Joint Plot, Pair Plot, Bar Plot, Count Plot, Box Plot, Violin Plot, Strip Plot, Swarm Plot
  • Heat Map, Pair Plot, Sub Plot

Requirements

  • No introductory skill level of Python programming required
  • Desire to learn!

Description

Welcome to Mastering Data Visualization! In this course, you’re going to learn about the Theory and Foundations of Data Visualization so that you can create amazing charts that are informative, true to the data, and communicatively effective.

“A picture is worth a thousand words”. We are all familiar with this expression. It especially applies when trying to explain the insight obtained from the analysis of increasingly large datasets. Data visualization plays an essential role in the representation of both small and large-scale data.

This course is designed to teach analysts, students interested in data science, statisticians, and data scientists how to analyze real-world data by creating professional-looking charts and using numerical descriptive statistics techniques in Python 3.

We’ll teach you how to program with Python, how to analyze and create amazing data visualizations with Python! You can use this course as your ready-to-go reference for your own project.

Who this course is for:

  • Programmers / Researchers / Designers that want to learn how to produce top-quality plots
  • Anyone who has to present data at some point!
  • Data Scientists
  • Academic scientists having to publish in scientific journals
  • Journalists / Data Journalists
  • Communication experts
  • Also the general public: you should know how graphs work because they’re everywhere!

WHAT YOU WILL LEARN

  • Describe what makes a good or bad visualization
  • Understand best practices for creating basic charts
  • Identify the functions that are best for particular problems
  • Create a visualization seaborn
  • Distribution Plot
  • Histograms
  • KDE Plots
  • Scatter Plot
  • Rug Plot
  • Joint Plot
  • Pair Plot
  • Bar Plot
  • Count Plot
  • Box Plot
  • Violin Plot
  • Strip Plot
  • Swarm Plot
  • Heat Map
  • Pair Plot
  • Sub Plot

SKILLS YOU WILL GAIN

  • Python Programming
  • Data Virtualization
  • Data Visualization (DataViz)
  • seaborn

If you need to analyze, present or communicate data professionally at some point, this course is a must.

I really encourage you to deepen your knowledge on Data Visualization. It’s not a difficult topic, and we will start from the basics. You don’t need any previous knowledge. I’ll teach you everything you need to know along the way and we’ll go straight to the point. No rambling. I really hope to see you in class!

Who this course is for:

  • Data Scientists, Data Analysts.
  • Who wants to start their data visualization journey
  • Who Is curious about how to build effective and impactful graphs
  • Who Is looking to break into the business intelligence, analytics or data visualization field
  • Anyone who want to express thoughts, findings, insights from any kind of data using data Visualization.
  • Data Visualization in python using seaborn library

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