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Ryan Ahmed
In this hands-on project, we will train a Linear Regression model to predict life expectancy. The dataset was initially obtained from the World Health Organization (WHO) and United Nations Websites. Data contains features such as year, status, life expectancy, adult mortality, infant deaths, percentage of expenditure, and alcohol consumption.
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Syllabus
Life Expectancy Prediction Using Machine Learning
In this hands-on project, we will train a Linear Regression model to predict life expectancy. The dataset was initially obtained from the World Health Organization (WHO) and United Nations Websites. Data contains features such as year, status, life expectancy, adult mortality, infant deaths, percentage of expenditure, and alcohol consumption.
Good to know
Good to know
Know what's good ,
what to watch for , and
possible dealbreakers
Develops understanding of life expectancy which is core to public health
Utilizes real-world dataset from WHO and United Nations
Emphasizes hands-on learning through project-based approach
Taught by Ryan Ahmed, an experienced instructor in data science and machine learning
Provides a solid understanding of linear regression, a fundamental technique in machine learning
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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 Life Expectancy Prediction Using Machine Learning with these
activities:
Find a Mentor in the Field of Life Expectancy
Show steps
Having a mentor can provide you with valuable guidance and support as you learn about life expectancy prediction.
Show steps
-
Identify potential mentors who have expertise in life expectancy prediction.
-
Reach out to these individuals and introduce yourself.
-
Ask if they would be willing to mentor you.
Read 'The Determinants of Health', by Geoffrey Rose
Show steps
This book provides a comprehensive overview of the factors that influence life expectancy and will help you develop a deeper understanding of the topic.
View
Epidemiology for the Uninitiated Paperback May...
on Amazon
Show steps
-
Obtain a copy of the book.
-
Read through the book carefully, taking notes as you go.
-
Discuss the key concepts of the book with classmates or colleagues.
Practice Linear Regression Modeling
Show steps
Completing practice drills will help you develop your skills in applying linear regression models to predict life expectancy.
Browse courses on
Linear Regression
Show steps
-
Find online resources or textbooks that provide practice problems for linear regression.
-
Work through these problems step-by-step, implementing the linear regression algorithm.
-
Compare your results to the provided solutions.
Three other activities
Expand to see all activities and additional details
Show all six activities
Build a Life Expectancy Prediction Tool
Show steps
Creating a tool will provide you with hands-on experience in applying the concepts learned in the course to a practical problem.
Browse courses on
Life Expectancy
Show steps
-
Gather and preprocess the necessary data for life expectancy prediction.
-
Train a linear regression model using the data.
-
Develop a user interface for the tool that allows users to input their own data and receive a prediction.
Volunteer at a Healthcare Organization
Show steps
Volunteering will provide you with real-world experience in the field of healthcare and exposure to the factors that affect life expectancy.
Show steps
-
Identify local healthcare organizations that you can volunteer with.
-
Contact the organizations and inquire about volunteer opportunities.
-
Attend training sessions and complete any necessary paperwork.
-
Participate in volunteer activities as assigned.
Contribute to a Life Expectancy Prediction Open-Source Project
Show steps
Contributing to an open-source project will allow you to apply your skills to a real-world project and collaborate with others in the field.
Browse courses on
Life Expectancy
Show steps
-
Identify open-source projects related to life expectancy prediction.
-
Review the project documentation and codebase.
-
Identify an area where you can contribute your skills.
-
Submit a pull request with your contributions.
Find a Mentor in the Field of Life Expectancy
Show steps
Having a mentor can provide you with valuable guidance and support as you learn about life expectancy prediction.
Show steps
Show steps
Show steps
- Identify potential mentors who have expertise in life expectancy prediction.
- Reach out to these individuals and introduce yourself.
- Ask if they would be willing to mentor you.
Read 'The Determinants of Health', by Geoffrey Rose
Show steps
This book provides a comprehensive overview of the factors that influence life expectancy and will help you develop a deeper understanding of the topic.
View
Epidemiology for the Uninitiated Paperback May...
on Amazon
Show steps
Show steps
Show steps
- Obtain a copy of the book.
- Read through the book carefully, taking notes as you go.
- Discuss the key concepts of the book with classmates or colleagues.
Practice Linear Regression Modeling
Show steps
Completing practice drills will help you develop your skills in applying linear regression models to predict life expectancy.
Browse courses on
Linear Regression
Show steps
Show steps
Show steps
- Find online resources or textbooks that provide practice problems for linear regression.
- Work through these problems step-by-step, implementing the linear regression algorithm.
- Compare your results to the provided solutions.
Three other activities
Expand to see all activities and additional details
Show all six activities
Build a Life Expectancy Prediction Tool
Show steps
Creating a tool will provide you with hands-on experience in applying the concepts learned in the course to a practical problem.
Browse courses on
Life Expectancy
Show steps
Show steps
Show steps
- Gather and preprocess the necessary data for life expectancy prediction.
- Train a linear regression model using the data.
- Develop a user interface for the tool that allows users to input their own data and receive a prediction.
Volunteer at a Healthcare Organization
Show steps
Volunteering will provide you with real-world experience in the field of healthcare and exposure to the factors that affect life expectancy.
Show steps
Show steps
Show steps
- Identify local healthcare organizations that you can volunteer with.
- Contact the organizations and inquire about volunteer opportunities.
- Attend training sessions and complete any necessary paperwork.
- Participate in volunteer activities as assigned.
Contribute to a Life Expectancy Prediction Open-Source Project
Show steps
Contributing to an open-source project will allow you to apply your skills to a real-world project and collaborate with others in the field.
Browse courses on
Life Expectancy
Show steps
Show steps
Show steps
- Identify open-source projects related to life expectancy prediction.
- Review the project documentation and codebase.
- Identify an area where you can contribute your skills.
- Submit a pull request with your contributions.
Career center
Learners who complete Life Expectancy Prediction Using Machine Learning will develop knowledge and skills
that may be useful to these careers:
Data Scientist
Data Scientist
Data Scientists help companies make better decisions by using data to solve business problems. This course can help you learn the skills needed to be a successful Data Scientist, such as how to collect, clean, and analyze data, and how to build and interpret machine learning models. This course may be particularly useful if you are interested in using your data science skills to improve healthcare outcomes.
Machine Learning Engineer
Machine Learning Engineer
Machine Learning Engineers build and maintain machine learning models that can solve real-world problems. This course can help you learn the skills needed to be a successful Machine Learning Engineer, such as how to design and implement machine learning algorithms, and how to evaluate and improve their performance. This course may be particularly useful if you are interested in using your machine learning skills to improve healthcare outcomes.
Statistician
Statistician
Statisticians collect, analyze, interpret, and present data. This course can help you learn the skills needed to be a successful Statistician, such as how to design and conduct statistical studies, and how to analyze and interpret data. This course may be particularly useful if you are interested in using your statistical skills to improve healthcare outcomes.
Epidemiologist
Epidemiologist
Epidemiologists investigate the causes and patterns of disease in populations. This course can help you learn the skills needed to be a successful Epidemiologist, such as how to design and conduct epidemiological studies, and how to analyze and interpret data. This course may be particularly useful if you are interested in using your epidemiological skills to improve healthcare outcomes.
Public Health Analyst
Public Health Analyst
Public Health Analysts collect, analyze, and interpret data to improve the health of populations. This course can help you learn the skills needed to be a successful Public Health Analyst, such as how to design and conduct public health studies, and how to analyze and interpret data. This course may be particularly useful if you are interested in using your public health skills to improve healthcare outcomes.
Health Policy Analyst
Health Policy Analyst
Health Policy Analysts develop and evaluate policies to improve the health of populations. This course can help you learn the skills needed to be a successful Health Policy Analyst, such as how to analyze and interpret health data, and how to develop and evaluate health policies. This course may be particularly useful if you are interested in using your health policy skills to improve healthcare outcomes.
Healthcare Administrator
Healthcare Administrator
Healthcare Administrators plan, organize, and direct the operations of healthcare organizations. This course can help you learn the skills needed to be a successful Healthcare Administrator, such as how to manage healthcare budgets, and how to develop and implement healthcare policies. This course may be particularly useful if you are interested in using your healthcare administration skills to improve healthcare outcomes.
Medical Researcher
Medical Researcher
Medical Researchers conduct research to improve the diagnosis, treatment, and prevention of disease. This course can help you learn the skills needed to be a successful Medical Researcher, such as how to design and conduct medical research studies, and how to analyze and interpret data. This course may be particularly useful if you are interested in using your medical research skills to improve healthcare outcomes.
Pharmacist
Pharmacist
Pharmacists dispense medications and provide advice on their use. This course can help you learn the skills needed to be a successful Pharmacist, such as how to interpret prescriptions, and how to counsel patients on medication use. This course may be particularly useful if you are interested in using your pharmacy skills to improve healthcare outcomes.
Nurse
Nurse
Nurses provide care to patients in a variety of settings. This course can help you learn the skills needed to be a successful Nurse, such as how to assess patients' health, and how to administer medications. This course may be particularly useful if you are interested in using your nursing skills to improve healthcare outcomes.
Physician Assistant
Physician Assistant
Physician Assistants provide medical care under the supervision of a physician. This course can help you learn the skills needed to be a successful Physician Assistant, such as how to diagnose and treat illnesses, and how to prescribe medications. This course may be particularly useful if you are interested in using your physician assistant skills to improve healthcare outcomes.
Healthcare Consultant
Healthcare Consultant
Healthcare Consultants provide advice to healthcare organizations on how to improve their operations. This course can help you learn the skills needed to be a successful Healthcare Consultant, such as how to analyze healthcare data, and how to develop and implement healthcare policies. This course may be particularly useful if you are interested in using your healthcare consulting skills to improve healthcare outcomes.
Healthcare Manager
Healthcare Manager
Healthcare Managers plan, organize, and direct the operations of healthcare organizations. This course can help you learn the skills needed to be a successful Healthcare Manager, such as how to manage healthcare budgets, and how to develop and implement healthcare policies. This course may be particularly useful if you are interested in using your healthcare management skills to improve healthcare outcomes.
Healthcare Educator
Healthcare Educator
Healthcare Educators develop and deliver educational programs to improve the health of populations. This course can help you learn the skills needed to be a successful Healthcare Educator, such as how to develop and deliver health education programs, and how to evaluate the effectiveness of health education programs. This course may be particularly useful if you are interested in using your healthcare education skills to improve healthcare outcomes.
Healthcare Informatics Specialist
Healthcare Informatics Specialist
Healthcare Informatics Specialists use technology to improve the delivery of healthcare. This course can help you learn the skills needed to be a successful Healthcare Informatics Specialist, such as how to use electronic health records, and how to develop and implement healthcare information systems. This course may be particularly useful if you are interested in using your healthcare informatics skills to improve healthcare outcomes.
For more career information including salaries, visit:
OpenCourser.com/course/3ln9vf/life
Reading list
We've selected 17 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
Life Expectancy Prediction Using Machine Learning.
Provides a more advanced treatment of statistical learning methods, including more sophisticated models and algorithms. The book is widely used as a textbook in machine learning courses.
This textbook provides a comprehensive overview of statistical learning methods, covering both theoretical and practical aspects.
This textbook covers various data mining techniques, providing a comprehensive foundation in the field and is commonly used in academic institutions.
Save
Provides a comprehensive overview of predictive analytics, covering both the theoretical foundations and practical applications. It valuable resource for anyone interested in learning more about this field.
This textbook provides a comprehensive overview of pattern recognition and machine learning, making it a valuable resource for understanding the foundations of the field.
This practical guide focuses on building real-world machine learning models using popular libraries like Scikit-Learn, Keras, and TensorFlow.
Provides a comprehensive overview of machine learning from a probabilistic perspective, making it a valuable resource for understanding the theoretical foundations of the field.
Provides a comprehensive overview of data science for healthcare, covering a wide range of topics from data collection to data analysis. It valuable resource for anyone interested in learning more about this field.
Provides a comprehensive overview of statistical learning methods, making it a valuable resource for both beginners and advanced practitioners.
Provides a gentle introduction to statistical learning, a powerful set of techniques that can be used to extract useful information from data. The applications of statistical learning in medicine are nearly endless, ranging from disease diagnosis to personalized medicine.
Provides a comprehensive overview of regression modeling, including linear models, logistic regression, and survival analysis, making it a valuable reference for practitioners.
Covers the theory and applications of sparsity techniques in machine learning, providing a deeper understanding of regularization methods.
Provides an accessible introduction to regression analysis, making it a valuable resource for beginners in the field.
This textbook covers fundamental biostatistical methods, providing a strong foundation for understanding statistical analysis in the context of life sciences.
Covers Bayesian analysis methods, providing a practical guide to using Bayesian statistics in social science research.
Save
Provides a comprehensive overview of forecasting methods, covering both traditional and modern techniques, making it a valuable resource for practitioners.
Focuses on logistic regression, providing a thorough understanding of its principles and applications, making it a useful reference for practitioners.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/3ln9vf/life
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Effort
1.5 hours
Level
Introductory
Via
Coursera
Institution
Coursera Project Network
Instructor
Ryan Ahmed
Language
English
Good to know
Develops understanding of life expectancy which is core to public health
Utilizes real-world dataset from WHO and United Nations
Emphasizes hands-on learning through project-based approach
Taught by Ryan Ahmed, an experienced instructor in data science and machine learning
Provides a solid understanding of linear regression, a fundamental technique in machine learning
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