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R Programming and Tidyverse Capstone Project

Jane Wall

In this third and final course of the "Expressway to Data Science: R Programming and Tidyverse" specialization you will reinforce and display your R and tidyverse skills by completing an analysis of COVID-19 data! Here is a chance to apply your skills to a real-world dataset that has effected all of us.

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In this third and final course of the "Expressway to Data Science: R Programming and Tidyverse" specialization you will reinforce and display your R and tidyverse skills by completing an analysis of COVID-19 data! Here is a chance to apply your skills to a real-world dataset that has effected all of us.

Throughout the capstone, you will import COVID-19 data; clean, tidy, and join datasets; and develop visualizations. You will also provide some analysis and interpretation to your results, preparing you for your journey into data science. By the end of the course, you will have developed a report that you can add to or use to begin a data science portfolio.

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What's inside

Syllabus

COVID-19 Data Analysis: Getting Started

This week, you will be introduced to the capstone project, and complete Part 1 of the project. In Part 1, you will import COVID-19 data provided by the New York Times to analyze how COVID-19 impacted the United States through case and death statistics.

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Traffic lights

Read about what's good

what should give you pause

and possible dealbreakers

Helps learners get comfortable with cleaning and tidying data before analysis

Prepares learners for work in data science

Covers a real-world dataset

Develops visualization skills

Provides practice with data analysis

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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 R Programming and Tidyverse Capstone Project with these activities:

Read 'R for Data Science' by Haddock and Ostry

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Provides a solid foundation in R programming, complementing the course content and reinforcing essential skills.

View R for Data Science: Import, Tidy, Transform,... on Amazon

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Read chapters 1-3
Complete the exercises in chapters 1-3

Review basic statistics concepts

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Refreshes fundamental statistics knowledge, ensuring a strong foundation for the course content and data analysis.

Browse courses on Statistics

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Review mean, median, and standard deviation
Review hypothesis testing

Analyze COVID-19 case and death data for a specific US state

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Provides hands-on practice with data analysis and interpretation, reinforcing understanding of the course concepts.

Browse courses on Data Analysis

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Choose a US state
Import COVID-19 data for the state
Analyze the data to identify trends and patterns
Write a summary of your findings

Four other activities

Expand to see all activities and additional details

Show all seven activities

Develop a data visualization of COVID-19 cases and deaths in the US

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Creates a practical application of the skills learned in the course, solidifying understanding of data visualization and analysis techniques.

Browse courses on Data Visualization

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Import COVID-19 data from the New York Times
Clean and tidy the data
Create visualizations to display the data
Write a summary of your findings

Write a blog post about the impact of COVID-19 on a specific industry

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Encourages students to apply their knowledge to a real-world scenario, developing their communication and data storytelling skills.

Browse courses on Data Storytelling

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Choose an industry
Research the impact of COVID-19 on the industry
Write a blog post that summarizes your findings
Share your blog post with others

Contribute to an open-source data science project

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Encourages students to engage in the open-source community, fostering collaboration and contributing to the advancement of data science.

Browse courses on Data Science

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Find an open-source data science project
Identify a way to contribute
Make a contribution to the project

Participate in a data science hackathon

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Provides a challenging and collaborative environment to apply skills and knowledge, promoting teamwork and innovation.

Browse courses on Data Science

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Find a data science hackathon
Form a team
Work on the hackathon project
Present your project at the hackathon

Career center

Learners who complete R Programming and Tidyverse Capstone Project will develop knowledge and skills that may be useful to these careers:

Biostatistician

Biostatisticians apply statistical methods to a wide range of biological and health-related data, including data from clinical trials, epidemiological studies, and genetic research. The R Programming and Tidyverse Capstone Project provides a solid foundation in data analysis and visualization techniques that are essential for success in this field. This course will help you develop the skills needed to design and conduct statistical studies, analyze data, and interpret results. You will also gain experience in using R and the tidyverse, which are widely used software tools in biostatistics.

See salaries and explore the career path for Biostatistician

Data Analyst

Data analysts use data to solve business problems and make informed decisions. They collect, clean, and analyze data, and then develop visualizations and reports to communicate their findings. The R Programming and Tidyverse Capstone Project provides a comprehensive introduction to data analysis and visualization techniques. This course will help you develop the skills needed to work with data, identify trends and patterns, and make recommendations based on data-driven insights.

See salaries and explore the career path for Data Analyst

Data Scientist

Data scientists use data to build predictive models and solve complex problems. They work in a variety of industries, including finance, healthcare, and technology. The R Programming and Tidyverse Capstone Project provides a solid foundation in data analysis, modeling, and visualization techniques. This course will help you develop the skills needed to build and evaluate predictive models, and to communicate your findings effectively.

See salaries and explore the career path for Data Scientist

Epidemiologist

Epidemiologists investigate the causes and spread of diseases. They use data to track and analyze disease outbreaks, and to develop strategies to prevent and control them. The R Programming and Tidyverse Capstone Project provides a foundation in data analysis and visualization techniques that are essential for success in epidemiology. This course will help you develop the skills needed to collect, clean, and analyze data, and to identify and interpret trends and patterns.

See salaries and explore the career path for Epidemiologist

Health Data Analyst

Health data analysts use data to improve the quality and efficiency of healthcare delivery. They work with data from electronic health records, claims data, and other sources to identify trends and patterns, and to develop recommendations for improving patient care. The R Programming and Tidyverse Capstone Project provides a solid foundation in data analysis and visualization techniques that are essential for success in health data analysis. This course will help you develop the skills needed to work with health data, identify trends and patterns, and make recommendations based on data-driven insights.

See salaries and explore the career path for Health Data Analyst

Market Research Analyst

Market research analysts use data to understand consumer behavior and market trends. They conduct surveys, focus groups, and other research studies to collect data on consumer preferences, attitudes, and behaviors. The R Programming and Tidyverse Capstone Project provides a solid foundation in data analysis and visualization techniques that are essential for success in market research. This course will help you develop the skills needed to design and conduct research studies, analyze data, and interpret results.

See salaries and explore the career path for Market Research Analyst

Public Health Analyst

Public health analysts use data to improve the health of populations. They work with data from a variety of sources, including vital records, health surveys, and environmental data, to identify and address public health problems. The R Programming and Tidyverse Capstone Project provides a solid foundation in data analysis and visualization techniques that are essential for success in public health. This course will help you develop the skills needed to work with public health data, identify trends and patterns, and make recommendations for improving the health of populations.

See salaries and explore the career path for Public Health Analyst

Quantitative Analyst

Quantitative analysts use data to make investment decisions. They develop and use mathematical and statistical models to analyze financial data and identify investment opportunities. The R Programming and Tidyverse Capstone Project provides a solid foundation in data analysis and modeling techniques that are essential for success in quantitative analysis. This course will help you develop the skills needed to build and evaluate financial models, and to make informed investment decisions.

See salaries and explore the career path for Quantitative Analyst

Research Scientist

Research scientists use data to conduct research and develop new knowledge. They work in a variety of fields, including medicine, engineering, and social science. The R Programming and Tidyverse Capstone Project provides a solid foundation in data analysis and visualization techniques that are essential for success in research. This course will help you develop the skills needed to design and conduct research studies, analyze data, and interpret results.

See salaries and explore the career path for Research Scientist

Statistician

Statisticians use data to collect, analyze, interpret, and present information. They work in a variety of fields, including research, government, and industry. The R Programming and Tidyverse Capstone Project provides a solid foundation in data analysis and visualization techniques that are essential for success in statistics. This course will help you develop the skills needed to design and conduct statistical studies, analyze data, and interpret results.

See salaries and explore the career path for Statistician

Data Engineer

Data engineers design and build data pipelines that collect, clean, and process data. They work with a variety of data sources, including databases, data warehouses, and cloud storage. The R Programming and Tidyverse Capstone Project provides a foundation in data analysis and visualization techniques that are essential for success in data engineering. This course will help you develop the skills needed to design and build data pipelines, and to work with large datasets.

See salaries and explore the career path for Data Engineer

Machine Learning Engineer

Machine learning engineers build and maintain machine learning models. They work with a variety of data sources and machine learning algorithms to develop models that can make predictions or decisions. The R Programming and Tidyverse Capstone Project provides a foundation in data analysis and modeling techniques that are essential for success in machine learning engineering. This course will help you develop the skills needed to build and evaluate machine learning models, and to work with large datasets.

See salaries and explore the career path for Machine Learning Engineer

Software Engineer

Software engineers design, develop, and maintain software applications. They work with a variety of programming languages and software development tools to create software that meets the needs of users. The R Programming and Tidyverse Capstone Project provides a foundation in data analysis and visualization techniques that can be applied to software development. This course will help you develop the skills needed to work with data in software applications, and to develop software that is user-friendly and efficient.

See salaries and explore the career path for Software Engineer

Data Visualization Specialist

Data visualization specialists create visual representations of data to communicate information clearly and effectively. They work with a variety of data visualization tools and techniques to create visualizations that are both informative and visually appealing. The R Programming and Tidyverse Capstone Project provides a solid foundation in data analysis and visualization techniques that are essential for success in data visualization. This course will help you develop the skills needed to create clear and effective data visualizations.

See salaries and explore the career path for Data Visualization Specialist

Health Educator

Health educators use data to develop and implement health education programs. They work with a variety of populations to promote healthy behaviors and prevent disease. The R Programming and Tidyverse Capstone Project provides a foundation in data analysis and visualization techniques that can be applied to health education. This course will help you develop the skills needed to work with data to identify health needs, develop health education programs, and evaluate the effectiveness of health education programs.

See salaries and explore the career path for Health Educator

Reading list

We've selected seven 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 R Programming and Tidyverse Capstone Project.

Cover image

Cover image

R for Data Science

Save

Comprehensive introduction to the R programming language. It covers a wide range of topics, from data manipulation to statistical modeling. It valuable resource for anyone who wants to learn how to use R for data science.

R for Data Science: Import, Tidy, Transform,...

(Deutsch) R für Data Science: Daten importieren, bereinigen,...

Cover image

Cover image

Advanced R, Second Edition

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Comprehensive introduction to the ggplot2 package, which is used to create elegant graphics for data analysis. It covers a wide range of topics, from basic plots to complex visualizations. It valuable resource for anyone who wants to learn how to use ggplot2 to create beautiful and informative data visualizations.

Advanced R, Second Edition (Chapman & Hall/CRC The...

Advanced R, Second Edition (Chapman & Hall/CRC The...

Statistical Inference

Save

Comprehensive introduction to statistical inference. It covers a wide range of topics, from the basics of probability to advanced statistical methods. It valuable resource for anyone who wants to learn how to use statistical inference to make informed decisions.

Statistical Inference

Statistical Inference

Times Higher Education Abroad excellent selection...

Statistical Inference

Cover image

Cover image

Deep Learning with Python, Second Edition

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Comprehensive introduction to the TensorFlow library, which is used for deep learning in Python. It covers a wide range of topics, from the basics of TensorFlow to advanced deep learning techniques. It valuable resource for anyone who wants to learn how to use TensorFlow for deep learning.

Deep Learning with Python, Second Edition

Deep Learning with Python, Second Edition

Cover image

Cover image

Python for Data Analysis

Save

Comprehensive introduction to the Python programming language. It covers a wide range of topics, from the basics of Python to advanced data analysis techniques. It valuable resource for anyone who wants to learn how to use Python for data analysis.

Python for Data Analysis

Python for Data Analysis

Cover image

Cover image

Hands-On Machine Learning with Scikit-Learn, Keras,...

Save

Comprehensive introduction to the scikit-learn library, which is used for machine learning in Python. It covers a wide range of topics, from the basics of scikit-learn to advanced machine learning techniques. It valuable resource for anyone who wants to learn how to use scikit-learn for machine learning.

Hands-On Machine Learning with Scikit-Learn, Keras,...

Hands-On Machine Learning with Scikit-Learn, Keras,...

Hands-On Machine Learning with Scikit-Learn, Keras,...

Cover image

Cover image

The End of Epidemics

Save

Explores the history of epidemics and pandemics, and it argues that we are now on the cusp of a new era in which we can prevent and control these outbreaks. It timely and important read for anyone who wants to understand the challenges and opportunities that the COVID-19 pandemic has presented.

The End of Epidemics: The Looming Threat to...

The End of Epidemics: The Looming Threat to...

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Effort

3-4 hours per week for 3 weeks

Level

Introductory

Via

Coursera

Institution

University of Colorado Boulder

Instructor

Jane Wall

Language

English

This course belongs to a collection called Expressway to Data Science: R Programming and Tidyverse. It's comprised of three courses:

Introduction to R Programming and Tidyverse
Data Analysis with Tidyverse
R Programming and Tidyverse Capstone Project (viewing)

Traffic lights

Read about what's good

what should give you pause

and possible dealbreakers

Helps learners get comfortable with cleaning and tidying data before analysis

Prepares learners for work in data science

Covers a real-world dataset

Develops visualization skills

Provides practice with data analysis

Share this

Share to help others discover this course.

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