Basics of Plotly for Data Analysis Data Science in Python

Basics of Plotly for Data Analysis & Data Science in Python, available at Free, has an average rating of 4.8, with 20 lectures, based on 44 reviews, and has 3085 subscribers.

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You will learn about Learn about Essentials of Plotly to create plots like Bar Charts, Line Charts, Scatter Plots, Histogram ,distribution plots , and more! How to Create Layouts with Plotlys Dash library. How to Deploy your interactive dashboards Learn styling in Plotly This course is ideal for individuals who are Any Python programmers who want to present their analyses in interactive web-based dashboards It is particularly useful for Any Python programmers who want to present their analyses in interactive web-based dashboards.

Enroll now: Basics of Plotly for Data Analysis & Data Science in Python

Summary

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

Price: Free

Average Rating: 4.8

Number of Lectures: 20

Number of Published Lectures: 20

Number of Curriculum Items: 20

Number of Published Curriculum Objects: 20

Original Price: Free

Quality Status: approved

Status: Live

What You Will Learn

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

How to Create Layouts with Plotlys Dash library.

How to Deploy your interactive dashboards

Learn styling in Plotly

Who Should Attend

Any Python programmers who want to present their analyses in interactive web-based dashboards

Target Audiences

Any Python programmers who want to present their analyses in interactive web-based dashboards

In this course, you will learn how to create interactive Visuals in python using the plotly data visualizations library and dash library.

This course will teach your everything you need to know to use Python to create interactive dashboard’s with Plotly’s new Dash library! 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 dashboards with the open source libraries like Plotly ..

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, plotly dash 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 Plotly, including scatter plots, line charts, bar charts , box plots, histograms, distribution plots and more! We’ll also give you an intuition of when to use each plot type.

Using the plotly dash, you can create interactive dashboards using python without knowing HTML, CSS and Javascript. Creating plotly dash dashboards is so simple and easy that you can create your dashboards within hours..

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: Plotly Package and Why We Use It

Lecture 1: Datasets & resources

Lecture 2: Installing Plotly

Lecture 3: Doing setup of Plotly in Jupyter Notebook

Lecture 4: Difference between plotly.express & plotly.graph_object

Chapter 3: Python basic Data- Structure

Lecture 1: In-built data-structures of Python

Chapter 4: Pandas Basics

Lecture 1: What is Pandas & how to read data using Pandas ?

Lecture 2: Series

Lecture 3: DataFrame

Chapter 5: Basic plots of Plotly

Lecture 1: basics of line-chart , barplot & pie-chart

Lecture 2: Histogram & scatter-plot

Chapter 6: Styling in Plotly

Lecture 1: How to add Color-bar to plots

Lecture 2: How to customize template in Plotly

Lecture 3: How to customize height & width of plots in Plotly

Lecture 4: How to update layout of Plotly charts

Lecture 5: How to share Plotly dashboards

Chapter 7: Some Interesting things/plots in Plotly

Lecture 1: Various distribution plots (distribution plot ,boxplot ,violinplot)

Lecture 2: Code-walkthrough of various Distribution plots

Instructors

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

Rating Distribution

1 stars: 1 votes

2 stars: 1 votes

3 stars: 2 votes

4 stars: 17 votes

5 stars: 23 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!