Mastering Data Visualization with Python

Visualize data using pandas, matplotlib and seaborn libraries for data analysis and data science

4.58 (223 reviews)

Udemy

platform

English

language

Data & Analytics

What you will learn

Understand what plots are suitable for a type of data you have

Visualize data by creating various graphs using pandas, matplotlib and seaborn libraries

Why take this course?

This course will help you draw meaningful knowledge from the data you have.

Three systems of data visualization in R are covered in this course:

A. Pandas B. Matplotlib C. Seaborn

A. Types of graphs covered in the course using the pandas package:

Time-series: Line Plot

Single Discrete Variable: Bar Plot, Pie Plot

Single Continuous Variable: Histogram, Density or KDE Plot, Box-Whisker Plot

Two Continuous Variable: Scatter Plot

Two Variable: One Continuous, One Discrete: Box-Whisker Plot

B. Types of graphs using Matplotlib library:

Time-series: Line Plot

Single Discrete Variable: Bar Plot, Pie Plot

Single Continuous Variable: Histogram, Density or KDE Plot, Box-Whisker Plot

Two Continuous Variable: Scatter Plot

In addition, we will cover subplots as well, where multiple axes can be plotted on a single figure.

C. Types of graphs using Seaborn library:

In this we will cover three broad categories of plots:

relplot (Relational Plots): Scatter Plot and Line Plot

displot (Distribution Plots): Histogram, KDE, ECDF and Rug Plots

catplot (Categorical Plots): Strip Plot, Swarm Plot, Box Plot, Violin Plot, Point Plot and Bar plot

In addition to these three categories, we will cover these three special kinds of plots: Joint Plot, Pair Plot and Linear Model Plot

In the end, we will discuss the customization of plots by creating themes based on the style, context, colour palette and font.

Screenshots

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Reviews

Jorge

June 30, 2023

He makes so easy... In section 5 lecture 73, there was no sound for approximately 5 min. By the minute 15 it came back.

Said

November 8, 2022

Very good, one of the best trainings I had the pleasure to follow trait forward, very efficient, learning many interesting aspects of the language with some tricks as well, shortcuts... Maybe also because this is what I was exactly looking for ... Congratulation Sir Sandeep Kumar your performance in delivering theses lectures is very well appreciated have being again very efficient ;-) with all my gratitude

Julia

October 27, 2022

Love this course. I've worked with pandas in python and wanted to learn more about visualization. Really good way of going through the different types of plots with lots of examples. Definitely would recommend to anyone looking to learn matplotlib and seaborn from scratch like me.

Ahmad

September 4, 2022

Although lots of courses are available in this area, Mr. Sandeep Kumar knows very well what to choose to present and in what sequence. I truly like his teaching style.

Prafulla

July 1, 2022

The way Mr. Sandeep explains reminds me of my childhood days when we were taught concepts clearly by explaining it comprehensively. This course is just what I wanted ! Thank you

Karthik

June 17, 2022

Clear explanation with extra captions , simply too good for a student or professional to get a good name , the description fits the course , also expecting plotly and cufflinks.

November 26, 2021

Ecellent lecture. Clear, concise, extremely 'to-the-point' and directed towards Python's data analytics and visualization techniques wihtout going into unnecessary details. The course is highly engaging and totally worth investing.

Fahad

March 1, 2021

Really Nice Course , Explained in details and very clear , with a lot of examples , Thanks Mr.Sandeep

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