Data Visualization & Analysis In Python: D3.js, HTML & CSS

Data Visualization & Analysis In Python: Web Development HTML & CSS, D3 Javascript, Django Rest Framework & Restful API

2.45 (53 reviews)
Udemy
platform
English
language
Data & Analytics
category
instructor
2,473
students
7.5 hours
content
Mar 2018
last update
$39.99
regular price

What you will learn

A Language-Learning Bridge Between Python And Java Script

Reading And Writing Data With Python

Building A Webpage

Getting Your Data Off The Web With Python

Heavyweight Scraping With Scrapy

Using Python To Consume Data From Web API

Targeting HTML With Xpaths

Cleaning And Exploring Data With Pandas

Learning Numpy

How To Use Pandas

Visualizing Data With Matplotlib

Delivering & Serving The Data

Dynamic Data With Flask

Using Static Or Dynamic Delivery

Delivering Static Files

Visualizing Your Data With D3

Imagining A Nobel Visualization

Understanding D3 –The Story Of Bar Chart

The HTML Skeleton

D3’s Mapping Data Formats, Geo, Projections And Paths

Updating The Map

Building A Simple Tooltip

Description

Data visualization involves the creation and study of the visual representation of data. A primary goal of data visualization is to communicate information clearly and efficiently via statistical graphics, plots and information graphics, but if you don’t master data visualization, you will miss the opportunity to explore data.

What if you could change that?

My complete Data Visualization course will show you the exact techniques and strategies you need to read and write data with python, deliver & serve the data, cleaning and exploring data with Pandas and build a simple Tooltip.           

For less than a movie ticket, you will get over 4 hours of video lectures and the freedom to ask me any questions regarding the course as you go through it. :)

What Is In This Course?

Your Data Visualization Skills Will Never Be The Same.

Except if you’re an expert at Data Visualization, build a webpage, do heavyweight scraping with scrapy, use Pandas, do dynamic data with flask and visualizing your data with D3, you are going to lose many job/career opportunities or even master data visualization.

As what Al Shalloway, the founder and CEO of Net Objectives, says “Visualizations act as a campfire around which we gather to tell stories.”

This is offered with a 30 days money back guarantee. You can try it with no financial risk.

In This Data Visualization Training, You'll Learn:

  • A Language-Learning Bridge Between Python And Java Script
  • Reading And Writing Data With Python
  • Building A Webpage
  • Getting Your Data Off The Web With Python
  • Heavyweight Scraping With Scrapy
  • Using Python To Consume Data From Web API
  • Targeting HTML With Xpaths
  • Cleaning And Exploring Data With Pandas
  • Learning Numpy
  • How To Use Pandas
  • Visualizing Data With Matplotlib
  • Delivering & Serving The Data
  • Dynamic Data With Flask
  • Using Static Or Dynamic Delivery
  • Delivering Static Files
  • Visualizing Your Data With D3
  • Imagining A Nobel Visualization
  • Understanding D3 –The Story Of Bar Chart
  • The HTML Skeleton
  • D3’s Mapping Data Formats, Geo, Projections And Paths
  • Updating The Map
  • Building A Simple Tooltip

------------------------------------------------------------------------------------------------------

Is This For You?

  • Do you want to read and write data with Python?
  • Are you wondering how to deliver & serve the data?
  • Do you understand how to clean and explore data with Pandas?

Then this course will definitely help you.

This course is essential to all manual testers, web automation users, software engineers and anyone looking to master Ansible.

I will show you precisely what to do to solve these situations with simple and easy techniques that anyone can apply.

------------------------------------------------------------------------------------------------------

Why To Master Data Visualization?

Let Me Show You Why To Master Data Visualization:

1. You will read and write data with Python .

2. You will deliver & serve the data.

3. You will clean and explore data with Pandas .

4. You will build a simple Tooltip .    

Thank you so much for taking the time to check out my course. You can be sure you're going to absolutely love it, and I can't wait to share my knowledge and experience with you inside it! 

Why wait any longer?

Click the green "Buy Now" button, and take my course 00% risk free now!

Content

Basic Toolkit

Introduction
A Language-Learning Bridge Between Python And Java Script
Reading And Writing Data With Python
Web Development 101
Building A Webpage

Getting Your Data

Getting Your Data
Getting Data Off The Web With Python
Heavyweight Scraping With Scrapy
Using Python To Consume Data From Web API
Targeting HTML With Xpaths

Cleaning And Exploring Data With Pandas

Cleaning And Exploring Data With Pandas
Learning Numpy
How To Use Pandas
Why Pandas Was Developed
Visualizing Data With Matplotlib

Delivering The Data

Delivering The Data
Serving The Data
Dynamic Data With Flask
Using Static Or Dynamic Delivery
Delivering Static Files Data Visualization In Python

Visualizing Your Data With D3

Visualizing Your Data With D3
Imagining A Nobel Visualization
Building Visualization
Understanding D3 –The Story Of Bar Chart
The HTML Skeleton

Mapping With D3

Mapping With D3
D3’s Mapping Data Formats
D3 Geo, Projections And Paths
Updating The Map
Building A Simple Tooltip

Bonus: Audio Section

Section 1 Audio
Section 2 Audio
Section 3 Audio
Section 4 Audio
Section 5 Audio
Section 6 Audio
Quiz Section 1

Screenshots

Data Visualization & Analysis In Python: D3.js, HTML & CSS - Screenshot_01Data Visualization & Analysis In Python: D3.js, HTML & CSS - Screenshot_02Data Visualization & Analysis In Python: D3.js, HTML & CSS - Screenshot_03Data Visualization & Analysis In Python: D3.js, HTML & CSS - Screenshot_04

Reviews

Paul
April 6, 2023
As you are probably already aware by now, the instructor appears to be reading the text of the course for the first time. This would not be acceptable, even if he was familiar with the material, but it appears he is not, as evidenced by his apparent surprise at each new word in any given sentence. While I'm inclined to forgive people for mispronouncing Guido van Rossum's first name (he is from the Netherlands, where his first name is pronounced something like "hhwheat-o"), the presenter repeatedly and spectacularly mispronounces several words that are relatively common in the field of software engineering. This diminishes the credibility of the material being presented. Even if the presenter were to be replaced, the content is organized like the personal possessions in an eviction -- in heaps that appear to have been scooped-up in armloads at the last possible moment and unceremoniously dropped on the curb. I'm am disappointed.
Joshua
December 20, 2020
90% of the course is watching a PowerPoint and listening to audio. You might as well look up a Medium article that talks about how to use D3.
Matt
January 7, 2019
Personally I feel like this is the worst course that I’ve ever seen on Udemy. It’s not because I’m watching it on mobile it’s because the course is horrible. How did this content not get filtered; it’s beyond me.
Rusdianto
November 15, 2018
Very interesting topic, but the delivery method is poor. Python, HTML, JS is not enough just by slides, people will go sleep after 5 minutes.
Srinivasan
November 5, 2018
The author is simply reading. This is NOT good. Put these text in a PDF or some text doc and we will read. In today's video tut world show actions and animated stuff illustrating a concept on the screen and NOT a hidden head talking some stuff word by word thats already on the screen. This should be tech tutorial and NOT spoken English class
Christopher
April 5, 2018
I don't like the presentation, no practical examples with images to show the final outcome of what is be taught. for example in the graph section, i expected that you should show how the graph should look like after creation.
Jason
April 3, 2018
Save your money, don't buy this course. It's basically a robot voice reading slides with absolutely no demonstrations.
Chris
March 31, 2018
I hope this course continues to develop, as currently the author just reads from slides. I have no clue if they even know how to use python, as there were zero examples. I would not spend money on this course in its current state.

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1594830
udemy ID
3/13/2018
course created date
7/19/2019
course indexed date
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