Build an Interactive Data Analytics Dashboard with Python

Genre: eLearning | MP4 | Video: h264, 1280×720 | Audio: AAC, 44.1 KHz
Language: English | Size: 4.89 GB | Duration: 11h 59m

This course teaches you all of the skills to build interactive data analytics dashboards with Python.

What you’ll learn

Build an interactive data analytics dashboard using the Dash library in Python

Model coronavirus cases and deaths using generalized logistic functions

Smooth data using locally weighted scatterplot smoothing

Read and clean data so that it is suitable for modeling

Learn how to use Plotly, an interactive data visualization library in Python targeting the web

Learn HTML and CSS fundamentals to add and style elements of the dashboard

Setup an Ubuntu server running X to host the dashboard on the web for all to see

Run nightly cron jobs to update the data and model predictions

Encapsulate all of your code into Python classes to ease automation

Learn how to complete a comprehensive, end-to-end project in Python using a vast array of skills

Description

Specifically, you will be building a Coronavirus Forecasting Dashboard that shows historical and predicted values for deaths and cases for all countries in the world and US states from the ongoing coronavirus pand. The final product will be a live dashboard, automatically updated daily, hosted on a remote server for anyone, anywhere in the world to see!

You will learn and complete the entire process for building the dashboard including the following topics:

Getting, Cleaning, and Transfog the Data – You will learn how to collect the data, find and clean bad data, and transform it so that it can be used for building models capable of prediction.

Data Smoothing – You will learn several different techniques such as LOWESS to smooth the jagged raw data so that the model can better detect trends.

Exponential Growth and Decline Models – You will b modeling coronavirus cases for each area of the world with these simple models that can capture a single exponential growth or decline phase, but not both.

Logistic Growth Models – You will learn about a separate class of “S-Curve” models capable of capturing both exponential growth and decline in the same model.

Modeling New Waves – Coronavirus cases appear in waves over different periods. You will learn how to change your model so that it can detect any number of new waves in the future.

Encapsulation into Classes – After selecting your model, you will encapsulate all of the code together into Python classes, eventually to be used in your final production code.

Visualizations with Plotly – You will learn how to use the Plotly Python library to create interactive data visualizations targeted for the web

HTML and CSS – You are building a web application and will learn the fundamentals of HTML and CSS to help add customization with the help of Dash.

Building the Dashboard with Dash – You will learn how to build all of the components and interactivity of the dashboard with the Dash Python library.

Deployment – One of the most exciting parts of a project is deploying it on your own server for the world to see. You will learn two different deployment options – one simple and the other more complex, but with more flexibility.

What’s Included

This course comes with a massive amount of material including:

13 Jupyter Notebooks

26 Exercises with detailed solutions

200 page PDF of the entire course content

All production code for the dashboard

Technologies used

All code for developing the dashboard will be done using Python

Pandas will be used extensively for analyzing and transfog data

Statsmodels will be used for smoothing

Scipy will be used for building the models for coronavirus cases and parameter optimization

Matplotlib will be used in the notebooks for static visualizations

Plotly will be used for interactive data visualizations that appear in the dashboard

Dash will be used for building the dashboard itself

HTML/CSS will be used together with Dash to customize components of the dashboard

You’ll learn how to setup your own Linux Ubuntu server to run your dashboard

Who this course is for:

Intermediate Python programmers excited to complete a comprehensive project covering all of the steps to launch a dashboard on the web for all to see

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