Basics of Matplotlib for Data Analysis Data Science-Python

Basics of Matplotlib for Data Analysis & Data Science:Python, available at Free, has an average rating of 4.4, with 18 lectures, based on 47 reviews, and has 2863 subscribers.

Free Enroll Now

You will learn about Learn about Essentials of matplotlib to create plots like Bar Charts, Line Charts, Scatter Plots, Histogram ,distribution plots , and more! How to customize matplotlib plots Learn basic functionality when & where to use matplotlib Learnbasic styling of matplotlib This course is ideal for individuals who are Any Python programmers who want to present their analyses using interactive visualisation It is particularly useful for Any Python programmers who want to present their analyses using interactive visualisation.

Enroll now: Basics of Matplotlib for Data Analysis & Data Science:Python

Summary

Title: Basics of Matplotlib for Data Analysis & Data Science:Python

Price: Free

Average Rating: 4.4

Number of Lectures: 18

Number of Published Lectures: 14

Number of Curriculum Items: 18

Number of Published Curriculum Objects: 14

Original Price: Free

Quality Status: approved

Status: Live

What You Will Learn

Learn about Essentials of matplotlib to create plots like Bar Charts, Line Charts, Scatter Plots, Histogram ,distribution plots , and more!

How to customize matplotlib plots

Learn basic functionality when & where to use matplotlib

Learnbasic styling of matplotlib

Who Should Attend

Any Python programmers who want to present their analyses using interactive visualisation

Target Audiences

Any Python programmers who want to present their analyses using interactive visualisation

In this course, you will learn how to create interactive Visuals in python using the Matplotlibly data visualizations library

This course will teach your everything you need to know to use Python to create interactive visuals  with Matplotlib. Have you ever wanted to take your Python skills to the next level in data visualization? With this course you will be able to create fully customization plots , interactive visuals with the open source libraries like Matplotlib

Data visualisation is very critical for generating and communicating easy to understand finding and insights. Either you are a Data Analyst who wants to create a dashboard/present your analysis or you are a Data Scientist who wants to create a UI for your machine learning models, Matplotlib can be a boon for both.

You will learn in this course many chart types..

Bar chart

Line cart

Pie chart

Scatter plot

Histogram

Box plot

Violin plot

Distribution (KDE) Plot

We’ll start off by teaching you enough Python and Pandas that you feel comfortable working and generating data  Then we’ll continue by teaching you about basic data visualization with Matplotlib, including scatter plots, line charts, bar charts , box plots, histograms, distribution plots and many more ! We’ll also give you an intuition of when to use each plot type.

By taking this course you will be learning the bleeding edge of data visualization technology with Python and gain a valuable new skill to show your colleagues or potential employers.                                                                                                                                                                                                                                                         

Course Curriculum

Chapter 1: Welcome to this course

Lecture 1: Introduction & course benefits !

Lecture 2: Quick Summary of Jupyter Notebook

Lecture 3: Datasets & resources

Chapter 2: Python basics Data-structures

Lecture 1: Datasets & Resources

Lecture 2: In-built data-structures of Python

Chapter 3: Pandas Basics

Lecture 1: How to read data using Pandas

Lecture 2: Series in Pandas

Lecture 3: What is Dataframe ?

Chapter 4: Basics plots of Matplotlib

Lecture 1: Line , Bar & Pie chart

Lecture 2: Scatterplot & Histogram

Chapter 5: Styling in Matplotlib

Lecture 1: Change colour of plot & bins of Histogram

Lecture 2: How to set Title & Label of plots

Lecture 3: How to Customize size of Plots

Lecture 4: How to set limit on your axis..

Instructors

Shan Singh
Top Rated & Best-Selling Udemy Instructor , Data Scientist

Rating Distribution

1 stars: 1 votes

2 stars: 2 votes

3 stars: 5 votes

4 stars: 17 votes

5 stars: 22 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!