Data Visualization in Python Masterclass™ for Data Scientist

Data Visualization in Python Masterclass& for Data Scientist, available at Free, has an average rating of 4.6, with 16 lectures, based on 297 reviews, and has 21824 subscribers.

Free Enroll Now

You will learn about Learn how to install Matplotlib. Create 2D plots using Matplotlib. Create sub-plots using Matplotlib. Create 3D plots using Matplotlib. Learn how to plot images using Matplotlib. Create various types of visualizations. Load Data from Excel or Text Files This course is ideal for individuals who are Beginner Python Developers curious about Data Science or Anybody having basic knowledge of Python Programming language and interested to learn Matplotlib can take up this course. or Any researcher who is looking to make plots for visualizing their experiments and results. or Any entrepreneur who is looking to creating plots for their business reports. It is particularly useful for Beginner Python Developers curious about Data Science or Anybody having basic knowledge of Python Programming language and interested to learn Matplotlib can take up this course. or Any researcher who is looking to make plots for visualizing their experiments and results. or Any entrepreneur who is looking to creating plots for their business reports.

Enroll now: Data Visualization in Python Masterclass& for Data Scientist

Summary

Title: Data Visualization in Python Masterclass& for Data Scientist

Price: Free

Average Rating: 4.6

Number of Lectures: 16

Number of Published Lectures: 16

Number of Curriculum Items: 16

Number of Published Curriculum Objects: 16

Original Price: Free

Quality Status: approved

Status: Live

What You Will Learn

Learn how to install Matplotlib.

Create 2D plots using Matplotlib.

Create sub-plots using Matplotlib.

Create 3D plots using Matplotlib.

Learn how to plot images using Matplotlib.

Create various types of visualizations.

Load Data from Excel or Text Files

Who Should Attend

Beginner Python Developers curious about Data Science

Anybody having basic knowledge of Python Programming language and interested to learn Matplotlib can take up this course.

Any researcher who is looking to make plots for visualizing their experiments and results.

Any entrepreneur who is looking to creating plots for their business reports.

Target Audiences

Beginner Python Developers curious about Data Science

Anybody having basic knowledge of Python Programming language and interested to learn Matplotlib can take up this course.

Any researcher who is looking to make plots for visualizing their experiments and results.

Any entrepreneur who is looking to creating plots for their business reports.

The only way to truly learn how to use Matplotlib for Data Visualization with Python is by actually getting your hands dirty and trying out the features yourself. That’s where this course comes in!

The hour-long course starts off with an introduction to Matplotlib, including how to install and import it in Python. We will then move on to learn how you can create and customize basic 2D charts in order to best tell your story. Furthermore, you will also learn what subplots are and how you can create as well as customize them with the help of the Matplotlib library.

We will explore the full spectrum of interactive and explorable graphic representations including various plots such as Scatter, Line, Bar, Stacked Bar, Histogram, Pie, and much more. The course also walks you through the basics of creating a 3D plot in Matplotlib and how you can start plotting images using the Python visualization library.

And, once you are done with this course, you will be able to create almost any kind of plot that you need with Matplotlib and Python.

Why you should take this course?

Updated 2021 course content: All our course content is updated as per the latest version of the Matplotlib library.

Practical hands-on knowledge: This course is oriented to providing a step-by-step implementation guide for making amazing data visualization plots rather than just sticking to the theory.

Guided support: We are always there to guide you through the Q/As so feel free to ask us your queries

Course Curriculum

Chapter 1: Introduction

Lecture 1: Introduction

Lecture 2: Installation

Lecture 3: Plot

Chapter 2: Plot Fundemantals

Lecture 1: Line

Lecture 2: Marker

Lecture 3: Legend Label Title

Lecture 4: grid

Chapter 3: Plot Types

Lecture 1: bar

Lecture 2: histogram

Lecture 3: pie

Lecture 4: Scatter

Lecture 5: Box

Lecture 6: 3D

Chapter 4: Subplot

Lecture 1: Subplot

Chapter 5: Text

Lecture 1: Text

Chapter 6: Widgets

Lecture 1: Widgets

Instructors

Abb Selec
Computer Scientist

Rating Distribution

1 stars: 0 votes

2 stars: 8 votes

3 stars: 51 votes

4 stars: 111 votes

5 stars: 127 votes

Frequently Asked Questions

How long do I have access to the course materials?

You can view and review the lecture materials indefinitely, like an on-demand channel.

Can I take my courses with me wherever I go?

Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don’t have an internet connection, some instructors also let their students download course lectures. That’s up to the instructor though, so make sure you get on their good side!