We may earn an affiliate commission when you visit our partners.

Public Health Data Analyst

Public Health Data Analysts use data to identify and address public health issues. They work with data from a variety of sources, including surveys, censuses, and medical records. They analyze this data to identify trends and patterns, and they use this information to make recommendations for public health policy and programs.

Read more

Public Health Data Analysts use data to identify and address public health issues. They work with data from a variety of sources, including surveys, censuses, and medical records. They analyze this data to identify trends and patterns, and they use this information to make recommendations for public health policy and programs.

What do Public Health Data Analysts do?

Public Health Data Analysts typically do the following:

  • Collect and analyze data from a variety of sources
  • Identify trends and patterns in the data
  • Make recommendations for public health policy and programs
  • Evaluate the effectiveness of public health programs
  • Communicate their findings to a variety of audiences

Public Health Data Analysts play a vital role in protecting and improving the health of the public. They use their skills to identify and address public health issues, and they help to develop and implement programs that improve the health of communities.

Education and Training

Public Health Data Analysts typically have a bachelor's degree in public health, health science, or a related field. Some Public Health Data Analysts also have a master's degree in public health or a related field. Public Health Data Analysts also must be able to use statistical software to analyze data.

Job Outlook

The job outlook for Public Health Data Analysts is expected to be good over the next few years. This is due to the increasing demand for data-driven decision-making in the public health field.

Career Growth

Public Health Data Analysts can advance their careers by taking on more responsibility and by developing new skills. Some Public Health Data Analysts may eventually become managers or directors of public health programs.

Transferable Skills

Public Health Data Analysts have a number of skills that are transferable to other careers. These skills include:

  • Data analysis and interpretation
  • Communication
  • Problem-solving
  • Critical thinking
  • Teamwork

These skills can be used in a variety of careers, including:

  • Health policy
  • Epidemiology
  • Biostatistics
  • Health informatics
  • Data science

Day-to-Day

The day-to-day work of a Public Health Data Analyst may vary depending on their specific job duties. However, some common tasks include:

  • Collecting and cleaning data
  • Analyzing data to identify trends and patterns
  • Preparing reports and presentations
  • Collaborating with other public health professionals
  • Developing and evaluating public health programs

Challenges

Public Health Data Analysts may face a number of challenges in their work. These challenges include:

  • Working with large and complex datasets
  • Interpreting data in a way that is meaningful and useful
  • Communicating their findings to a variety of audiences
  • Dealing with limited resources
  • Staying up-to-date on the latest research and methods

Projects

Public Health Data Analysts may work on a variety of projects, such as:

  • Developing a new public health program
  • Evaluating the effectiveness of an existing public health program
  • Identifying risk factors for a particular disease
  • Tracking the spread of a disease
  • Forecasting future health trends

Personal Growth

Public Health Data Analysts can experience a great deal of personal growth in their careers. They learn new skills, they develop their critical thinking skills, and they gain a deeper understanding of the public health field.

Personality Traits and Personal Interests

Public Health Data Analysts are typically:

  • Analytical
  • Detail-oriented
  • Problem-solvers
  • Communicators
  • Team players

They also have a strong interest in public health and a desire to make a difference in the world.

Online Courses

Online courses can be a great way to learn about public health data analysis. These courses can provide you with the skills and knowledge you need to succeed in this career. Online courses can also help you to develop your problem-solving, critical thinking, and communication skills.

Online courses can be used to prepare for a career as a Public Health Data Analyst in a number of ways. They can teach you the basics of public health data analysis, such as how to collect, clean, and analyze data. They can also teach you how to use statistical software to analyze data. Additionally, online courses can help you to develop your problem-solving, critical thinking, and communication skills.

Online courses alone may not be enough to prepare you for a career as a Public Health Data Analyst. However, they can be a helpful learning tool to bolster your chances of success for entering this career.

Share

Help others find this career page by sharing it with your friends and followers:

Salaries for Public Health Data Analyst

City
Median
New York
$107,000
San Francisco
$116,000
Seattle
$120,000
See all salaries
City
Median
New York
$107,000
San Francisco
$116,000
Seattle
$120,000
Austin
$130,000
Toronto
$102,000
London
£55,000
Paris
€46,000
Berlin
€66,000
Tel Aviv
₪502,000
Singapore
S$121,000
Beijing
¥190,000
Shanghai
¥160,000
Shenzhen
¥666,000
Bengalaru
₹740,000
Delhi
₹824,000
Bars indicate relevance. All salaries presented are estimates. Completion of this course does not guarantee or imply job placement or career outcomes.

Reading list

We haven't picked any books for this reading list yet.
This classic textbook provides a comprehensive overview of statistical methods used in medical research. It is an essential resource for researchers and students who want to design and analyze clinical trials and other types of medical studies.
Introduces Bayesian data analysis methods and their applications in health research. It valuable resource for researchers and statisticians who want to learn about the latest advances in Bayesian modeling.
Provides a comprehensive overview of precision medicine, including topics such as genomics, personalized treatment, and the future of healthcare. It valuable resource for researchers and clinicians who want to learn about the latest advances in this rapidly growing field.
Provides a comprehensive overview of digital health, including topics such as telehealth, mHealth, and artificial intelligence. It valuable resource for healthcare professionals and policymakers who want to learn about the latest advances in this rapidly growing field.
Our mission

OpenCourser helps millions of learners each year. People visit us to learn workspace skills, ace their exams, and nurture their curiosity.

Our extensive catalog contains over 50,000 courses and twice as many books. Browse by search, by topic, or even by career interests. We'll match you to the right resources quickly.

Find this site helpful? Tell a friend about us.

Affiliate disclosure

We're supported by our community of learners. When you purchase or subscribe to courses and programs or purchase books, we may earn a commission from our partners.

Your purchases help us maintain our catalog and keep our servers humming without ads.

Thank you for supporting OpenCourser.

© 2016 - 2024 OpenCourser