Basics of Seaborn for Data Analysis Data Science in Python

Basics of Seaborn for Data Analysis & Data Science in Python, available at Free, has an average rating of 4.6, with 17 lectures, based on 43 reviews, and has 2499 subscribers.

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You will learn about Learn about Essentials of seaborn to create plots like Bar Charts, Line Charts, Scatter Plots, Histogram ,distribution plots , and more! How to update Layouts with seaborn Learn styling in seaborn Learn basic functionality when to use seaborn 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 Seaborn for Data Analysis & Data Science in Python

Summary

Title: Basics of Seaborn for Data Analysis & Data Science in Python

Price: Free

Average Rating: 4.6

Number of Lectures: 17

Number of Published Lectures: 17

Number of Curriculum Items: 17

Number of Published Curriculum Objects: 17

Original Price: Free

Quality Status: approved

Status: Live

What You Will Learn

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

How to update Layouts with seaborn

Learn styling in seaborn

Learn basic functionality when to use seaborn

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 seaborn data visualizations library

This course will teach your everything you need to know to use Python to create interactive visuals  with seaborn 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 seaborn

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, seaborn 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 seaborn, 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: Introduction

Lecture 1: Introduction & course benefits

Lecture 2: Quick Summary of Jupyter Notebook

Lecture 3: Datasets & Resources

Chapter 2: Python basic Data-Structure !

Lecture 1: In-built data-structures of Python

Chapter 3: Pandas Basics !

Lecture 1: Datasets & resources

Lecture 2: How to read data using Pandas !

Lecture 3: Series in Pandas !

Lecture 4: What is DataFrame ?

Chapter 4: basics Plots of Seaborn !

Lecture 1: Basic plots (Line , Bar , Pie & Scatter )

Lecture 2: Histogram

Chapter 5: Styling in Seaborn !

Lecture 1: How to make your Seaborn plot more Interactive ..

Lecture 2: How to Customize your Histogram ..

Lecture 3: How to change size of Seaborn Plot..

Lecture 4: Rotating axis Labels ..

Lecture 5: How to set limit in x-axis & y-axis

Chapter 6: Interesting things/plots in Seaborn !

Lecture 1: Hue in seaborn ..

Lecture 2: What is facetgrid & its use-case ?

Instructors

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

Rating Distribution

1 stars: 1 votes

2 stars: 1 votes

3 stars: 3 votes

4 stars: 17 votes

5 stars: 21 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!