CG数据库 >> Data Visualization & Analysis In Python: D3.js, HTML & CSS

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MP4 | Video: h264, 1280x720 | Audio: AAC, 48 KHz, 2 Ch | Duration: 7h 20m | 717 MB

Genre: eLearning | Language: English

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

What Will I 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

Requirements

No Prior Knowledge Or Work Is Necessary To Take This Course.

Pen And Paper For Precious Notes

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.”

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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.

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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!

Who is the target audience?

All Manual Testers, Web Automation Users, Software Engineers

Anyone Looking To Master Ansible.

This Is Not For People Looking For Lazy Ways To Do Things

Data Visualization & Analysis In Python: D3.js, HTML & CSS的图片2