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COVID19 Data Analysis Using Python

In this project, you will learn how to preprocess and merge datasets to calculate needed measures and prepare them for an Analysis. In this project, we are going to work with the COVID19 dataset, published by John Hopkins University, which consists of the data related to the cumulative number of confirmed cases, per day, in each Country. Also, we have another dataset consist of various life factors, scored by the people living in each country around the globe. We are going to merge these two datasets to see if there is any relationship between the spread of the virus in a country and how happy people are, living in that country.

Notes: This project works best for learners who are based in the North America region. We’re currently working on providing the same experience in other regions.

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Provides a foundation in COVID19 data analysis using Python

Suitable for someone based in the North America region

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Reviews summary

Applied covid19 data analysis with python

According to the course outline, learners can expect a hands-on project-based experience focused on COVID19 data analysis using Python. Students will learn to preprocess and merge real-world datasets from John Hopkins University on confirmed cases and various life factors to explore the relationship between virus spread and national happiness. This project is particularly geared towards those seeking practical application of Python skills in data science. A key consideration is that the project is optimized for learners in the North America region, which may affect the experience for international participants.

Develops essential data preprocessing and merging.

"I learned robust methods for data preprocessing and merging in Python."

"The course provided me with solid foundational skills in preparing data for analysis."

"I now feel more confident in tackling raw datasets and getting them ready for insights."

Utilizes relevant COVID19 and life factor data.

"I appreciated working with actual COVID19 data from John Hopkins University."

"The use of real-world datasets on happiness factors made the analysis feel relevant."

"I gained insight into applying data analysis to contemporary global challenges."

Offers practical, applied learning through a project.

"I loved the hands-on approach to analyzing real-world data."

"The project structure made learning Python for data analysis very practical for me."

"I found the direct application of concepts through the project highly beneficial."

Optimized for North American learners.

"I note that the project provides the best experience for North America-based learners."

"Learners outside North America might need to consider potential regional data nuances."

"I understand the course content is specifically geared towards a North American context."

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 Analysis Using Python with these activities:

Form a study group with other learners taking the course

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Enhance understanding and retention of course material by forming a study group with other learners.

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Identify potential study partners within the course
Set up regular meetings
Discuss course material, share notes, and work on assignments together

Follow tutorials on COVID19 data analysis

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Gain additional insights on COVID19 data analysis by following guided tutorials.

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Search for tutorials on COVID19 data analysis
Select a tutorial that aligns with your learning goals
Follow the instructions in the tutorial
Apply what you learned to your own project

Practice using Python libraries for data manipulation

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Strengthen understanding of Python libraries for data manipulation by completing practice drills.

Browse courses on Python

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Install the necessary Python libraries
Find practice problems or exercises online
Solve the problems using Python libraries

Two other activities

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Visualize COVID19 data for a specific country

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Solidify knowledge of data preprocessing and merging by visualizing the COVID19 data for a specific country.

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Choose a country of interest
Download the COVID19 and life factors datasets
Preprocess and merge the datasets
Create a visualization of the data

Write a blog post about COVID19 data analysis

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Deepen understanding of COVID19 data analysis by writing a blog post that shares your insights and findings.

Browse courses on Data Visualization

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Choose a specific topic within COVID19 data analysis
Research and gather data on the topic
Analyze the data and draw insights
Write a blog post that clearly and effectively communicates your findings

Career center

Learners who complete COVID19 Data Analysis Using Python will develop knowledge and skills that may be useful to these careers:

Data Analyst

As a Data Analyst, you will be responsible for collecting, cleaning, and analyzing data to identify trends and patterns. This course will help you develop the skills you need to succeed in this role, including data visualization, statistical analysis, and machine learning. By learning how to work with real-world datasets, you will be well-prepared to enter the field of data analysis.

See salaries and explore the career path for Data Analyst

Data Scientist

Data Scientists use their skills in mathematics, statistics, and computer science to extract insights from data. This course will help you develop the foundational skills you need to become a Data Scientist, including data wrangling, data mining, and machine learning. By learning how to work with real-world datasets, you will be well-prepared to enter the field of data science.

See salaries and explore the career path for Data Scientist

Machine Learning Engineer

Machine Learning Engineers design, develop, and deploy machine learning models. This course will help you develop the skills you need to succeed in this role, including data engineering, model building, and model deployment. By learning how to work with real-world datasets, you will be well-prepared to enter the field of machine learning engineering.

See salaries and explore the career path for Machine Learning Engineer

Data Engineer

Data Engineers build and maintain the infrastructure that supports data analysis and machine learning. This course will help you develop the skills you need to succeed in this role, including data warehousing, data pipelines, and data governance. By learning how to work with real-world datasets, you will be well-prepared to enter the field of data engineering.

See salaries and explore the career path for Data Engineer

Quantitative Analyst

Quantitative Analysts use mathematical and statistical models to analyze financial data. This course will help you develop the skills you need to succeed in this role, including financial modeling, risk analysis, and portfolio optimization. By learning how to work with real-world datasets, you will be well-prepared to enter the field of quantitative finance.

See salaries and explore the career path for Quantitative Analyst

Business Analyst

Business Analysts use data to solve business problems. This course will help you develop the skills you need to succeed in this role, including data analysis, business intelligence, and project management. By learning how to work with real-world datasets, you will be well-prepared to enter the field of business analysis.

See salaries and explore the career path for Business Analyst

Statistician

Statisticians collect, analyze, and interpret data. This course will help you develop the skills you need to succeed in this role, including data visualization, statistical modeling, and data mining. By learning how to work with real-world datasets, you will be well-prepared to enter the field of statistics.

See salaries and explore the career path for Statistician

Epidemiologist

Epidemiologists investigate the causes of disease and develop strategies to prevent and control them. This course will help you develop the skills you need to succeed in this role, including data analysis, statistical modeling, and public health. By learning how to work with real-world datasets, you will be well-prepared to enter the field of epidemiology.

See salaries and explore the career path for Epidemiologist

Public Health Analyst

Public Health Analysts collect, analyze, and interpret data to improve the health of populations. This course will help you develop the skills you need to succeed in this role, including data analysis, epidemiology, and health policy. By learning how to work with real-world datasets, you will be well-prepared to enter the field of public health.

See salaries and explore the career path for Public Health Analyst

Health Data Scientist

Health Data Scientists use their skills in data science to improve the health of populations. This course will help you develop the skills you need to succeed in this role, including data analysis, machine learning, and health informatics. By learning how to work with real-world datasets, you will be well-prepared to enter the field of health data science.

See salaries and explore the career path for Health Data Scientist

Health Economist

Health Economists use economic principles to analyze the health care system. This course will help you develop the skills you need to succeed in this role, including data analysis, health policy, and economics. By learning how to work with real-world datasets, you will be well-prepared to enter the field of health economics.

See salaries and explore the career path for Health Economist

Health Policy Analyst

Health Policy Analysts use data to inform health policy decisions. This course will help you develop the skills you need to succeed in this role, including data analysis, health policy, and public health. By learning how to work with real-world datasets, you will be well-prepared to enter the field of health policy analysis.

See salaries and explore the career path for Health Policy Analyst

Health Informatics Specialist

Health Informatics Specialists use their skills in information technology to improve the health care system. This course will help you develop the skills you need to succeed in this role, including data analysis, health informatics, and project management. By learning how to work with real-world datasets, you will be well-prepared to enter the field of health informatics.

See salaries and explore the career path for Health Informatics Specialist

Clinical Data Manager

Clinical Data Managers oversee the collection, storage, and analysis of clinical data. This course will help you develop the skills you need to succeed in this role, including data management, clinical research, and project management. By learning how to work with real-world datasets, you will be well-prepared to enter the field of clinical data management.

See salaries and explore the career path for Clinical Data Manager

Biostatistician

Biostatisticians use statistical methods to analyze biological data. This course will help you develop the skills you need to succeed in this role, including data analysis, statistical modeling, and bioinformatics. By learning how to work with real-world datasets, you will be well-prepared to enter the field of biostatistics.

See salaries and explore the career path for Biostatistician

Reading list

We've selected 16 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 Analysis Using Python.

Protests and the Media

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Provides a comprehensive overview of the COVID-19 pandemic, from its origins in Wuhan, China, to its global impact. It covers the scientific, social, and economic aspects of the pandemic, and offers insights into how we can prepare for future pandemics.

COVID19 Data Analysis Using Python

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Applied covid19 data analysis with python

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