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COVID19 Data Visualization Using Python

Ahmad Varasteh

By the end of this project, you will learn How you can use data visualization techniques to answer to some analytical questions. in this project we are going to use COVID19 dataset we have consisting of the data related cumulative number of confirmed, recovered, and deaths cases. we are going to prepare this dataset to answer these questions: How does the Global Spread of the virus look like?, How intensive the spread of the virus has been in the countries? Does covid19 national lockdowns and self-isolations in different countries have actually impact on COVID19 transmission? we are going to use Plotly module, which is a great visualization tool in python, in order to plot some insightful and intuitive graphs to answer the questions.

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Syllabus

COVID19 Data Visualization Using Python
By the end of this project, you will learn How you can use data visualization techniques to answer some analytical questions. in this project we are going to use the COVID19 dataset we have consisting of the data related a cumulative number of confirmed, recovered, and deaths cases. we are gonna prepare this dataset to answer these questions: How does Global Spread of the virus look like? How intensive the spread of the virus has been in the countries?, Does covid19 national lockdowns and self-isolations in different countries have actually an impact on COVID19 transmission? we are going to use the Plotly module, which is a great visualization tool in python, in order to plot some insightful and intuitive graphs to answer the questions.

Good to know

Know what's good
, what to watch for
, and possible dealbreakers
Delves into COVID19 data visualization using advanced techniques
Provides hands-on experience in data visualization with the Plotly module in Python
Lacks prerequisite information, assuming learners have background knowledge in data visualization

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Reviews summary

Helpful python course for covid-19 data visualization

According to students, this course is a helpful resource for learning how to visualize geographic data related to COVID-19 using Python. Helpful guided projects and a relevant curriculum make this course worthwhile for those wanting to learn basic data visualization and Python basics.
Course is accessible to those new to data visualization and Python.
"I don't have impressive skills in Python so far, but the project is explained so good that i didn't have any questions."
Up-to-date course material aligns with current events.
"The topic is really relevant and up-to-date."
Highly-rated projects provide real-world practice.
"I definetely feel more confident in visualizations now :)"
"This course is awesome to learn"
"Great sample for visualizaing data on the map"
Outdated materials can hinder learning.
"Outdated. Needs to be updated , a lot of functions have changed how they work in python."
"The learning material on the guided project (lab) is outdated - the resourses are not available."

Activities

Be better prepared before your course. Deepen your understanding during and after it. Supplement your coursework and achieve mastery of the topics covered in COVID19 Data Visualization Using Python with these activities:
Review basic statistics and data analysis concepts
Refresher on statistics and data analysis will provide a stronger foundation for understanding the course material.
Browse courses on Statistics
Show steps
  • Read an introductory article on basic statistics.
  • Review examples of common statistical tests.
  • Identify the assumptions and limitations of different statistical tests.
Review basic data visualization concepts
This will help recall basic data visualization concepts and techniques, making the course material more accessible.
Browse courses on Data Visualization
Show steps
  • Read an introductory article on data visualization concepts.
  • Review examples of common data visualizations, such as bar charts, line charts, and scatter plots.
  • Identify the strengths and weaknesses of different data visualization techniques.
Organize and review course materials
Effective organization and regular review of course materials will enhance retention and understanding.
Show steps
  • Create a system for organizing notes, assignments, and other course materials.
  • Review your materials regularly, especially before classes and exams.
15 other activities
Expand to see all activities and additional details
Show all 18 activities
Join a study group or online forum for data visualization
Engaging with peers allows for knowledge exchange, different perspectives, and support.
Browse courses on Data Visualization
Show steps
  • Find a study group or online forum focused on data visualization.
  • Participate in discussions and ask questions.
  • Share your own knowledge and experiences.
Review Introduction to Data Visualization
Reviewing this book will help you cover basic concepts of data visualization, including how to design and interpret charts and graphs.
View Information Dashboard Design: Displaying Data... on Amazon
Show steps
  • Read Chapter 1: Introduction to Data Visualization
  • Read Chapter 2: The Basics of Visual Perception
  • Read Chapter 3: Choosing the Right Chart Type
  • Read Chapter 4: Creating Effective Presentations
  • Complete the exercises at the end of each chapter
Complete Plotly tutorial
Completing this tutorial will help you learn the basics of Plotly, which is the library we will be using in this course to create visualizations.
Browse courses on Plotly
Show steps
  • Follow the steps in the Plotly tutorial
  • Complete the exercises at the end of each section
  • Create a simple visualization using Plotly
Join a data visualization study group
Joining a data visualization study group will help you learn from and collaborate with other students.
Browse courses on Data Visualization
Show steps
  • Find a data visualization study group to join
  • Attend the study group meetings
  • Participate in the study group discussions
  • Collaborate with other members on data visualization projects
Follow a tutorial on using Plotly for data visualization
Hands-on practice with Plotly will enhance the understanding of the library used in the course.
Browse courses on Plotly
Show steps
  • Find a tutorial that covers the basics of using Plotly.
  • Follow along with the tutorial and create your own visualizations.
  • Experiment with different Plotly features and options.
Explore Plotly tutorials to enhance visualization skills
Follow Plotly tutorials to expand knowledge of data visualization techniques and improve coding proficiency.
Show steps
  • Find relevant Plotly tutorials
  • Watch or read the tutorials
  • Practice exercises provided in the tutorials
Practice creating visualizations with Plotly
Practicing creating visualizations with Plotly will help you develop your skills and become more proficient in using the library.
Browse courses on Plotly
Show steps
  • Create a bar chart of the COVID-19 data
  • Create a line chart of the COVID-19 data
  • Create a scatter plot of the COVID-19 data
  • Create a map of the COVID-19 data
  • Create a dashboard of the COVID-19 data
Participate in a data visualization workshop
Participating in a data visualization workshop will help you learn new skills and techniques from experienced professionals.
Browse courses on Data Visualization
Show steps
  • Find a data visualization workshop to attend
  • Register for the workshop
  • Attend the workshop sessions
  • Complete the workshop exercises
Volunteer with a data visualization organization
Volunteering with a data visualization organization will help you gain practical experience and give back to the community.
Browse courses on Data Visualization
Show steps
  • Find a data visualization organization to volunteer with
  • Contact the organization and express your interest in volunteering
  • Attend volunteer training sessions
  • Volunteer your time to help with data visualization projects
Solve data visualization coding challenges
Solving coding challenges will provide practical experience and reinforce the concepts learned in the course.
Browse courses on Data Visualization
Show steps
  • Find a set of data visualization coding challenges.
  • Attempt to solve the challenges on your own.
  • Review the solutions and learn from your mistakes.
Practice data visualization techniques
Practice applying data visualization techniques to COVID19 data analysis to reinforce concepts and improve skills.
Browse courses on Data Visualization
Show steps
  • Load the COVID19 dataset
  • Plot the global spread of the virus
  • Plot the intensity of the spread of the virus in different countries
  • Plot the impact of national lockdowns and self-isolations on COVID19 transmission
Participate in a data visualization contest
Participating in a data visualization contest will help you test your skills and compete with other students.
Browse courses on Data Visualization
Show steps
  • Find a data visualization contest to participate in
  • Register for the contest
  • Create a data visualization for the contest
  • Submit your data visualization to the contest
Create a dashboard to visualize COVID19 data
Create an interactive dashboard to visualize COVID19 data and explore insights, reinforcing visualization and analytical skills.
Browse courses on Data Visualization
Show steps
  • Design the dashboard layout and interface
  • Implement data visualization widgets
  • Connect the dashboard to the COVID19 dataset
  • Deploy the dashboard
Create a data visualization portfolio
Creating a data visualization portfolio will help you showcase your skills and demonstrate your ability to create effective visualizations.
Browse courses on Data Visualization
Show steps
  • Gather your best visualizations
  • Create a website or online portfolio to showcase your work
  • Write a brief description of each visualization, explaining the purpose and methodology
  • Share your portfolio with potential employers or clients
Create a data visualization dashboard
Creating a dashboard will allow for the application of the skills learned in the course to a real-world scenario.
Browse courses on Data Visualization
Show steps
  • Choose a dataset that you are interested in.
  • Design the layout of your dashboard.
  • Create visualizations to represent the data.
  • Deploy your dashboard online.

Career center

Learners who complete COVID19 Data Visualization Using Python will develop knowledge and skills that may be useful to these careers:
Visual Data Analyst
Visual Data Analysts use data visualization techniques to communicate insights from data. The COVID19 Data Visualization Using Python course can be very useful for your career as it provides hands-on experience with data visualization using Python and the Plotly module. This knowledge can enhance your ability to create compelling and informative data visualizations, which is essential for effective communication and decision-making in various fields.
See salaries and explore the career path for Visual Data Analyst
Health Data Analyst
Health Data Analysts use data to improve healthcare delivery and outcomes. The COVID19 Data Visualization Using Python course can be very helpful for your career as it provides experience with Python and data visualization techniques using the Plotly module. This knowledge can enhance your ability to analyze and present health data, which is essential for identifying areas for improvement and optimizing healthcare practices.
See salaries and explore the career path for Health Data Analyst
Epidemiologist
Epidemiologists investigate the causes and patterns of disease and injury in a population. The COVID19 Data Visualization Using Python course can be very useful for your career as it provides experience with data visualization techniques using Python and the Plotly module. This knowledge can enhance your ability to analyze and visualize epidemiological data, which is essential for identifying and addressing public health concerns effectively.
See salaries and explore the career path for Epidemiologist
Data Analyst
Data Analysts examine large datasets to identify trends and patterns, and communicate findings to stakeholders. This course can be beneficial for your career as it provides hands-on experience with Python and data visualization techniques. These skills are essential for Data Analysts, enabling them to analyze and present complex data effectively, aiding in decision-making processes.
See salaries and explore the career path for Data Analyst
Public Health Data Analyst
Public Health Data Analysts analyze data to investigate and address public health issues. The COVID19 Data Visualization Using Python course can be beneficial for your career as it provides hands-on experience with Python and data visualization techniques using the Plotly module. These skills are essential for Public Health Data Analysts as they enable them to analyze and present public health data effectively, informing decision-making and improving population health.
See salaries and explore the career path for Public Health Data Analyst
Statistician
Statisticians collect, analyze, interpret, and present data to inform decision-making. This course can be beneficial for your career as it provides experience with Python and data visualization techniques using the Plotly module. These skills are essential for Statisticians as they enable them to analyze and present complex data effectively, aiding in data-driven decision-making processes.
See salaries and explore the career path for Statistician
Health Informatics Specialist
Health Informatics Specialists use technology to improve healthcare delivery and outcomes. This course can be beneficial for your career as it provides a foundation in data visualization techniques using Python and the Plotly module. These skills are useful for Health Informatics Specialists as they facilitate the analysis and presentation of healthcare data, which is vital for optimizing healthcare systems and improving patient care.
See salaries and explore the career path for Health Informatics Specialist
Biostatistician
As a Biostatistician, you analyze and interpret biological and health data to draw conclusions and solve complex problems. This course can be beneficial for your career as it provides you with experience with the Python programming language, data visualization using the Plotly module, and data analysis techniques. Using this knowledge, you can develop valuable insights, visualizations, and models to advance medical research and improve patient outcomes.
See salaries and explore the career path for Biostatistician
Research Analyst
Research Analysts conduct research and analyze data to inform decision-making. The COVID19 Data Visualization Using Python course may be helpful for your career as it provides experience with Python and data visualization techniques using the Plotly module. These skills can enhance your ability to analyze and present research findings effectively, contributing to informed decision-making in various fields.
See salaries and explore the career path for Research Analyst
Data Scientist
Data Scientists use a combination of programming, statistics, and business knowledge to extract insights from data. The COVID19 Data Visualization Using Python course may be helpful in your career as it covers data visualization techniques using Python and the Plotly module, which are essential skills for a Data Scientist. This course could enhance your ability to analyze COVID-19-related data and create valuable visualizations to inform decision-making during public health emergencies.
See salaries and explore the career path for Data Scientist
Medical Researcher
Medical Researchers conduct studies to investigate diseases and develop new treatments. This course may be helpful for your career as it provides hands-on experience with data visualization techniques using Python and the Plotly module. This knowledge can be valuable for Medical Researchers as it enables them to analyze and present research data effectively, contributing to advancements in medical science.
See salaries and explore the career path for Medical Researcher
Quantitative Analyst
Quantitative Analysts use mathematical and statistical models to analyze financial data and make investment decisions. This course may be helpful for your career as it provides a foundation in data visualization techniques using Python and the Plotly module. These skills can be valuable for Quantitative Analysts as they facilitate the analysis and presentation of financial data, which is crucial for making informed investment decisions.
See salaries and explore the career path for Quantitative Analyst
Machine Learning Engineer
Machine Learning Engineers build, deploy, and maintain machine learning models. This course may be helpful for your career as it provides a foundation in data visualization techniques using Python and the Plotly module. These skills can be valuable for Machine Learning Engineers as they facilitate the analysis and presentation of machine learning data, which is crucial for developing and optimizing machine learning models.
See salaries and explore the career path for Machine Learning Engineer
Data Engineer
Data Engineers design, build, and maintain data pipelines and infrastructure. This course may be helpful for your career as it provides a foundation in data visualization techniques using Python and the Plotly module. These skills can be valuable for Data Engineers as they facilitate the analysis and presentation of data engineering-related information, aiding in the development and optimization of data pipelines.
See salaries and explore the career path for Data Engineer
Risk Analyst
Risk Analysts identify, assess, and manage risks to an organization. This course may be helpful for your career as it provides a foundation in data visualization techniques using Python and the Plotly module. These skills can be valuable for Risk Analysts as they facilitate the analysis and presentation of risk-related data, which is crucial for developing effective risk management strategies.
See salaries and explore the career path for Risk Analyst

Reading list

We've selected nine books that we think will supplement your learning. Use these to develop background knowledge, enrich your coursework, and gain a deeper understanding of the topics covered in COVID19 Data Visualization Using Python.
Cover image
Python for Data Analysis
Save
Provides a practical introduction to data analysis using Python. It covers topics such as data cleaning, wrangling, and visualization. The book is written for users with some programming experience but little to no prior exposure to data analysis.
Python for Data Analysis: Data Wrangling with...
Paperback
$$
Python for Data Analysis
Kindle Edition
$$
Python for Data Analysis: Data Wrangling with...
Paperback
$$$
Cover image
Now You See It
Save
Provides a non-technical introduction to data visualization. It covers topics such as the principles of visual perception, the different types of charts and graphs, and how to use them effectively. The book is accessible to users with no prior knowledge of data visualization.
Now You See It: An Introduction to Visual Data...
Hardcover
$$
Now You See It: Simple Visualization Techniques for...
Hardcover
$$
Cover image
The Art of Insight
Save
Discusses design principles that apply to any data visualization. It contains a lot of case studies, which illustrate best practices.
The Art of Insight: How Great Visualization...
Paperback
$$
The Art of Insight: How Great Visualization...
Kindle Edition
$$
Cover image
Fundamentals of Data Visualization
Save
Contains code originally written in R, but is still useful for Python users.
Fundamentals of Data Visualization: A Primer on...
Kindle Edition
$$$
Cover image
Egocentric Network Analysis
Save
Provides practical guidance on how to choose the right chart type for your data. It also covers how to design effective visualizations that are clear and easy to understand.
Egocentric Network Analysis: Foundations, Methods,...
Paperback
$$
Egocentric Network Analysis: Foundations, Methods,...
Kindle Edition
$$
Cover image
Interactive Data Visualization for the Web
Save
Covers interactive data visualization using d3.js, a popular JavaScript library. It is useful for users who want to create visualizations that can be explored and interacted with by users.
Interactive Data Visualization for the Web: An...
Paperback
$$
Interactive Data Visualization for the Web: An...
Paperback
$$
(中文) 数据可视化实战:使用D3设计交互式图表 (图灵程序设计丛书 23) (Chinese Edition)
Kindle Edition
$
Cover image
Practical Data Analysis Using Jupyter Notebook
Save
Provides a hands-on introduction to data visualization using Jupyter Notebooks. It covers topics such as data cleaning, wrangling, and visualization. The book is written for users with some programming experience but little to no prior exposure to data visualization.
Practical Data Analysis using Jupyter Notebook:...
Paperback
$$
Practical Data Analysis Using Jupyter Notebook:...
Kindle Edition
$$
Cover image
Python Data Science Handbook
Save
Provides a practical introduction to data visualization using Altair, a Python library for creating interactive visualizations. It covers topics such as data cleaning, wrangling, and visualization. The book is written for users with some programming experience but little to no prior exposure to data visualization.
Python Data Science Handbook: Essential Tools for...
Paperback
$$$
Cover image
R Packages
Save
Provides a practical introduction to data visualization using ggplot2, a R library for creating visualizations. It covers topics such as data cleaning, wrangling, and visualization. The book is written for users with some programming experience but little to no prior exposure to data visualization.
R Packages
Paperback
Check
R Packages
Kindle Edition
Check

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Course image
Effort
100 Minutes
Level
Intermediate
Via
Coursera
Institution
Coursera Project Network
Instructor
Ahmad Varasteh
Language
English
Good to know
Delves into COVID19 data visualization using advanced techniques
Provides hands-on experience in data visualization with the Plotly module in Python
Lacks prerequisite information, assuming learners have background knowledge in data visualization
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