Data Science:Covid-19 Data Analysis Visualization Deployment

[mitsumi]

MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English + srt | Duration: 21 lectures (1h 57m) | Size: 547.5 MB

A practical hands on data science Project on Covid-19 Data Analysis, Visualization(using Descriptionly Express) & Deployment

What you'll learn:
Data Analysis and Understanding
Data Preparation
Performing Feature Engineering
Learn to create Descriptionly Bubble and Bar Charts
Folium to visualize the data on world map
Pushing your notebooks to GitHub repository
Deploying your project on Heroku Platform

Requirements
Very Basic knowledge of Python
Basic knowledge on Git

Description
This course is about Data Analysis, Visualization on COVID19 data (from authentic and reputed source which is updated daily) & Deployment. This course will teach you everything you need to know from Data Analysis Visualization to deploying it on Cloud platforms.

This course will walk you through the initial data analysis and understanding, data preparation and feature engineering techniques. We will use Descriptionly which helps us in creating beautiful graphs, hence we will be learning to use Descriptionly for data visualization mainly we will use Bubble Charts, Bar Charts and Line Descriptions.

We will also learn techniques to create an interactive feature which will help us to interact with our graphs, changing value at runtime, this will help the users to better interact and play around with the data real time.

We will learn to Description the COVID19 data on world map.

At the end we will learn to deploy the same on Cloud.

Please note that this is a hands on course that means I will code and then you will code.

I have split and segregated the entire course in Tasks below, for ease of understanding of what will be covered.

Task 1 : Importing Libraries.

Task 2 : Loading the data from source (the data source is updated every 24 hours)

Task 3 : Data Understanding

Task 4 : Data Preparation

Task 5 : Extracting the overall worldwide status counts.

Task 6 : Performing Feature Engineering.

Task 7 : Aggregating and visualizing the top n countries having highest new confirmed cases using Descriptionly Bubble Charts.

Task 8 : Aggregating and visualizing the top n countries having highest new death cases using Descriptionly Bubble Charts.

Task 9 : Aggregating and visualizing the top n countries having highest new recovered cases using Descriptionly Bubble Charts.

Task 10 : Visualizing the trend of confirmed cases over time using Descriptionly Line Charts.(Option to select country from drop down)

Task 11 : Visualizing the trend of death cases over time using Descriptionly Line Charts.(Option to select country from drop down)

Task 12 : Visualizing the trend of recovered cases over time using Descriptionly Line Charts.(Option to select country from drop down)

Task 13 : Table chart to showcase the top n countries (where n can be changed at chart level) sorted by confirmed cases in Descending order.

Task 14 : Table chart to showcase the Confirmed/Death/Recovered/Active cases for a country (where the country name can be changed at UI level).

Task 15 : Visualizing the top n worst hit countries (where n can be changed at chart level) with respect to confirmed cases in descending order using Descriptionly Bar Charts.

Task 16 : Visualizing the top n worst hit countries (where n can be changed at chart level) with respect to death cases in descending order using Descriptionly Bar Charts.

Task 17 : Visualizing the top n worst hit countries (where n can be changed at chart level) with respect to active cases in descending order using Descriptionly Bar Charts.

Task 18 : Visualizing the top n countries (where n can be changed at chart level) with respect to recovered cases in descending order using Descriptionly Bar Charts.

Task 19 : Visualizing the global spread of COVID19 on world map.

Task 20 : Preparing a separate notebook for COVID19 Dashboard containing only the data analysis and visualization graphs.

Task 21 : What is Voila and Installation steps.

Task 22 : How to run your notebook on Voila Server in your local machine.

Task 23 : Pushing your project to GitHub repository.

Task 23 : Hosting your project on Heroku Platform for free.

Data Analysis and Visualization is the most demanded skill of the 21st century and this skill can be yours just for the price of lunch.

You will receive :

1. Certificate of completion from AutomationGig.

2. The Jupyter notebook are provided at the end of the course in the resource section.

3. All other supporting project files are provided at the end of the course in the resource section.

So what are you waiting for?

Grab a cup of coffee, click on the ENROLL NOW Button and start learning the most demanded skill of the 21st century. We'll see you inside the course!

Happy Learning !!

Who this course is for
Students and professionals who want to learn Data Analysis and Visualization
Students and professionals who is interested in learning Descriptionly
Anyone who is interested in visualizaing real and authentic COVID19 data from reputed source
Professionals who knows data analysis but wants to deploy their data analysis visualizations on cloud

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