Updated on Jun, 2025
Language - English
Very enriching for my study.
Comprehensive Data Visualization Course: Matplotlib in Python
From beginner to expert in Data Visualization using Matplotlib in Python | Able to visualize any type of data in Python
Development ,Programming Languages,Python
Lectures -33
Duration -4 hours
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Course Description
Hello and welcome to the course on “Comprehensive Data visualization with Matplotlib in Python”. This course has been designed keeping in mind the working professionals, students and even hobbyist, who wanted to get meaningful information from the data and take appropriate action.
This course contains Quizzes and assignments, which will help you to evaluate your learning periodically. Python code for each module is included with this course as well, you can download them as base code and you can fully customize it.
If you are a student and wanted to participate in Datathon, Hackathon and similar competition as well as you wanted to analyse & visualize data as a part of project. Then this course is for you.
If you are professional and working on daily basis to explore data to get more insight and you are required to present the key information of the analysis with the help of several charts and plot. Then this course is for you.
If you are a hobbyist and always wanted to understand the raw data, available from various source (datasets), as pro then this course is for you.
This course is power-packed with all the information that you need to from absolute basic to advance level. After finishing this course, you will be able to
- Plot, visualize and analyse data in 2D as well as 3D plot.
- Handle, plot and visualize linear as well as Non-linear data
- Get exposure on various plots such as bar chart, stacked chart, XY plot, Pie chart, Histogram, polar plots, logarithmic plot and much more
- Get exposure on working with Time-series data (mostly from finance field) and plot them as well as analyse them.
- Work with Audio signals and plot, visualize and Analyse them
- Work with Images up to certain extends and play with basic image manipulation such as extracting channel, applying colouring scheme to get more information.
- Handle and visualize all sort of Data in Matplotlib.
Tools used in this course
Python 3 (any version >3.7 is perfect)
- Jupyter Notebook (IDE)
- Matplotlib (Data Visualization Library)
So, Let’s get started.
Visualize and Explore the Data together.
Goals
- Get closer understanding of Matplotlib Library and how to use it efficiently
- Learn about Pyplot an essential component as well as labels, axis, lines, markers, grids, legends and customizing all of them as per the need
- Learn about Scatter plot and Categorical data plotting
- Working with Figure and subplot to plot multiple data together at one place for better visualization
- Learn to plot most commonly used plots such as histogram, bar chart, stacked bar chart, Pie chart and surface plot for 3D data visualization and more.
- Learn to plot non-linear data using logarithmic plot, polar plots, symlog
- Time-series data analysis of finance data like currency exchange rates
- Learn to work with Images and Audio files with matplotlib
Prerequisites
- Elementary knowledge of Python syntax.
- Logical thinking and visualizing ability.
- Willingness to learn and apply.
Curriculum
Check out the detailed breakdown of what’s inside the course
Get to know about the course contents and Instructor
2 Lectures
-
Course Introduction
02:13
02:13
-
Course curriculum
05:22
05:22
Matplotlib introduction, Dependency and knowing Jupyter Notebook
3 Lectures
Getting started with basics of Matplotlib
6 Lectures
Scatter Plot and categorical plotting
4 Lectures
Figure and Subplot in Matplotlib
4 Lectures
More Plots in Matplotlib
5 Lectures
Nonlinear plotting in Matplotlib
3 Lectures
Working with Time-series data in Matplotlib
1 Lectures
3D Plotting and visualization in Matplotlib
1 Lectures
Working with Audio data in Matplotlib
1 Lectures
Working with images in Matplotlib
1 Lectures
Saving plots in Matplotlib
1 Lectures
Instructor Details
aipython
Hello Peers,
We are a bunch of people, working on future technologies, experienced in various domains such as data science, Machine Learning, NLP and Computer vision. We are loyal to Python and hence our expertise is mostly in Python.
We carry with over a decade of experience in Python development and had delivered several projects as a freelancer. We love to teach on various platform. In fact, We are associated with teaching since our graduation.
A strong believer of the fact that we all have to contribute towards building up a better future by providing quality education.
Living with a motto of "Keep Learning & Keep Growing".
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