Comprehensive Data visualization with Matplotlib in Python

From beginner to expert in Data Visualization using Matplotlib in Python | Able to visualize any type of data in Python

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.

What you’ll learn

  • 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.

Course Content

  • Get to know about the course and Instructor –> 2 lectures • 8min.
  • Matplotlib introduction, Dependency and knowing Jupyter Notebook –> 3 lectures • 28min.
  • Getting started with basic of Matplotlib –> 7 lectures • 46min.
  • Scatter Plot and categorical plotting in Matplotlib –> 4 lectures • 24min.
  • Figure and Subplot in Matplotlib –> 4 lectures • 18min.
  • More Plots in Matplotlib –> 5 lectures • 37min.
  • Nonlinear plotting in Matplotlib –> 3 lectures • 20min.
  • Working with Time-series data in Matplotlib –> 1 lecture • 14min.
  • 3D Plotting and visualization in Matplotlib –> 1 lecture • 16min.
  • Working with Audio data in Matplotlib –> 1 lecture • 16min.

Comprehensive Data visualization with Matplotlib in Python

Requirements

  • Elementary knowledge of Python syntax.
  • Logical thinking and visualizing ability.
  • Willingness to learn and explore.

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 the project. Then this course is for you.

If you are professional and working on a 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 a 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

1. The plot, visualize and analyse data in 2D as well as the 3D plot.

2. Handle, plot and visualize linear as well as Non-linear data

3. Get exposure on various plots such as bar chart, stacked chart, XY plot, Pie chart, Histogram, polar plots, logarithmic plot and much more

4. Get exposure on working with Time-series data (mostly from the finance field) and plot them as well as analyse them.

5. Work with Audio signals and plot, visualize and Analyse them

6. Work with Images up to certain extends and play with basic image manipulation such as extracting channel, applying colouring scheme to get more information.

7. 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.

Get Tutorial