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Covid 19 analytics with live open data and R in 1 day

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Covid 19 analytics with live open data and R in 1 day, available at $19.99, has an average rating of 3.94, with 20 lectures, based on 9 reviews, and has 43 subscribers.

You will learn about Get the data: retrieve latest Covid-19 data for Countries and regions Understand, analyse and wrangle data using R (free software) Create animations and movies to share insights using R Great analytics project for Data analysts, Epidemiologists, Biostatisticians, and Data Scientists Use ggplot and plotly packages to generate lively visualizations Rmarkdown /KnitR for dynamically creating and sharing reports This course is ideal for individuals who are Anyone with a computer looking to acquire or sharpen their data analytics skills or Anyone interested in accessing and analyzing Covid-19 data at national or international level or Data analysts, Epidemiologists, Biostatisticians, Data Scientists, Data Journalists or Enthusiasts or Those looking to build a project to showcase their analytics skills It is particularly useful for Anyone with a computer looking to acquire or sharpen their data analytics skills or Anyone interested in accessing and analyzing Covid-19 data at national or international level or Data analysts, Epidemiologists, Biostatisticians, Data Scientists, Data Journalists or Enthusiasts or Those looking to build a project to showcase their analytics skills.

Enroll now: Covid 19 analytics with live open data and R in 1 day

Summary

Title: Covid 19 analytics with live open data and R in 1 day

Price: $19.99

Average Rating: 3.94

Number of Lectures: 20

Number of Published Lectures: 19

Number of Curriculum Items: 20

Number of Published Curriculum Objects: 19

Original Price: $19.99

Quality Status: approved

Status: Live

What You Will Learn

  • Get the data: retrieve latest Covid-19 data for Countries and regions
  • Understand, analyse and wrangle data using R (free software)
  • Create animations and movies to share insights using R
  • Great analytics project for Data analysts, Epidemiologists, Biostatisticians, and Data Scientists
  • Use ggplot and plotly packages to generate lively visualizations
  • Rmarkdown /KnitR for dynamically creating and sharing reports

Who Should Attend

  • Anyone with a computer looking to acquire or sharpen their data analytics skills
  • Anyone interested in accessing and analyzing Covid-19 data at national or international level
  • Data analysts, Epidemiologists, Biostatisticians, Data Scientists, Data Journalists or Enthusiasts
  • Those looking to build a project to showcase their analytics skills

Target Audiences

  • Anyone with a computer looking to acquire or sharpen their data analytics skills
  • Anyone interested in accessing and analyzing Covid-19 data at national or international level
  • Data analysts, Epidemiologists, Biostatisticians, Data Scientists, Data Journalists or Enthusiasts
  • Those looking to build a project to showcase their analytics skills

In this course I have compiled a set of instructions that anyone with a computer can use to create useful analytics around open data sources. As you might have noticed that data and especially data around healthcare is extremely hard to get by. I have therefore carefully put together various data sources that are extremely valuable and are still available free as open data. Once I show you where the data is and how to procure it through various APIs etc., I also demonstrate how to slice and dice it using another great set of freely available software R. The lectures include step by step guidance and instructions in each line of code work and how to modify the code to use it in other projects of yours. The goal of this course is to provide you both data and the tool set to extract maximum value for your time and effort. I start the instructions with procuring, analyzing and visualizing Covid-19 data.

Along with data i provide step by step instructions to use R for creating analytics and appealing visualizations.

These visualizations include using ggplot2 library to create scatter or bar charts. Since we have access to time series data, I show how to create movies and gifs to display dynamic time lapse visualizations. We will explore Covid 19 cases, deaths or vaccinations across multiple geographic areas, including country, state and county levels.

Course Curriculum

Chapter 1: Software setup and quick warm up on using R

Lecture 1: Welcome and this is how course is organized

Lecture 2: Install R and RStudio

Lecture 3: Tour of R studio

Lecture 4: Install and load R packages (Manually and Automatically using script)

Lecture 5: Getting started with R and data frames using dplyr, ggplot etc

Lecture 6: Setting up a 'for loop' to automate repeat tasks

Chapter 2: Retrieving Covid-19 Data

Lecture 1: Covid-19 data sources and credits

Lecture 2: Retrieving global Covid-19 data

Lecture 3: Variable settings to fetch data for different geographies

Chapter 3: Reporting on Covid-19

Lecture 1: Confirmed Covid-19 cases, deaths and vaccinations across the world

Lecture 2: Visualize top 25 geographies data using bar charts and bubble charts

Lecture 3: Automate creation of visualization for multiple measures using For loop

Lecture 4: Use Rmarkdown to create and manage comprehensive Covid-19 reporting

Chapter 4: Chronicling Covid-19 epidemiology using movies and gifs

Lecture 1: Intro: Time line reporting for Covid-19

Lecture 2: Code: Create Time line Gifs and Movies for Covid 19

Lecture 3: Intro: Static visualization of longitudinal data

Lecture 4: Code: Static visualization of longitudinal data

Lecture 5: Its a wrap: Open questions and thanks!

Chapter 5: Case studies

Lecture 1: How did the healthcare systems in US, Canada and Mexico do in response to Covid?

Instructors

Rating Distribution

  • 1 stars: 1 votes
  • 2 stars: 0 votes
  • 3 stars: 2 votes
  • 4 stars: 3 votes
  • 5 stars: 3 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!

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