Harvard University 100 percent Free online Courses with Certificates

Harvard Certificate Programs Online Free.
This program is completely free and available for anyone who wants to add to his or her knowledge in his or her career choice. Obtain free Harvard certificate today and boost your resume and your career success by taking the Harvard university Free online courses with free Certificates

This is a plus to anyone’s resume. It’s worth the few weeks of studies online. Needs no registration fee whatsoever. All you need is your time, internet connect and PC (smart phone, desktop or laptop)

Harvard Free Online Program Course:
Harvard University is one of the highest ranked universities in the world. Due to the pandemic and other reasons, like impacting on the people of the whole world, the university has developed and released free courses.

These course are made available online to everyone all over the world. Registration and taking the course online is completely free. The essence of the registration is to be eligible or make your details available for Certificate at the completion of the course

Harvard University Certificate  Programs Free.
The Certificate to be issued to students upon completion of the Harvard free course is free, while you might have to pay few dollars for some. The price are usually state side by side with the course. However, you don’t need to pay if you don’t have money, if you have, it is worth it there so many courses which are completely free to chose from.

Harvard Free Degree.
The online course offered for free by Harvard University comes with Certificate upon completion. However, it is mostly no referred to or regarded as a University degree

Harvard Free Certificate Programs::
Students upon completion of the free course get Certificates. The duration of the programs depends on the courses.

It ranges from four (4)weeks to Twelve (12) week. The course curriculum or the volume of the course contents determine the length of time that the courses take to be completed. However, as usual, some of the courses are self paced.

We have listed a very good number of the course and links to the Harvard portal where you would need to take the course. You can also read more about the course on the University website before proceeding.

CS50’s Introduction to Game Development
Programming

12 WEEKS LONG

What you’ll learn
Principles of 2D and 3D graphics, animation, sound, and collision detection

Unity and LÖVE 2D

Lua, C#

Basics of game design and development

Course description
In a quest to understand how video games themselves are implemented, you’ll explore the design of such childhood games as: Super Mario Bros., Pong, Flappy Bird, Breakout, Match 3, Legend of Zelda, Angry Birds, Pokémon, 3D Helicopter Game, Dreadhalls, and Portal.

Via lectures and hands-on projects, the course explores principles of 2D and 3D graphics, animation, sound, and collision detection using frameworks like Unity and LOVE 2D, as well as languages like Lua and C#. By class’s end, you’ll have programmed several of your own games and gained a thorough understanding of the basics of game design and development.

Click Here to start the course

CS50’s Introduction to Artificial Intelligence with Python.

Programming

7 WEEKS LONG

What you’ll learn
Graph search algorithms

Reinforcement learning

Machine learning

Artificial intelligence principles

How to design intelligent systems

How to use AI in Python programs

Course description
AI is transforming how we live, work, and play. By enabling new technologies like self-driving cars and recommendation systems or improving old ones like medical diagnostics and search engines, the demand for expertise in AI and machine learning is growing rapidly. This course will enable you to take the first step toward solving important real-world problems and future-proofing your career.

CS50’s Introduction to Artificial Intelligence with Python explores the concepts and algorithms at the foundation of modern artificial intelligence, diving into the ideas that give rise to technologies like game-playing engines, handwriting recognition, and machine translation.

Through hands-on projects, students gain exposure to the theory behind graph search algorithms, classification, optimization, reinforcement learning, and other topics in artificial intelligence and machine learning as they incorporate them into their own Python programs. By course’s end, students emerge with experience in libraries for machine learning as well as knowledge of artificial intelligence principles that enable them to design intelligent systems of their own.

You’ll learn the theoretical frameworks that enable these new technologies while gaining practical experience in how to apply these powerful techniques in your work.

Click here to start the course on the University website 

CS50’s Web Programming with Python and JavaScript
This course picks up where CS50 leaves off, diving more deeply into the design and implementation of web apps with Python, JavaScript, and SQL using frameworks like Django, React, and Bootstrap.

What you’ll learn
HTML, CSS

Git

Python

Django

SQL, Models, and Migrations

JavaScript

Course description
Topics include database design, scalability, security, and user experience. Through hands-on projects, you’ll learn to write and use APIs, create interactive UIs, and leverage cloud services like GitHub and Heroku. By course’s end, you’ll emerge with knowledge and experience in principles, languages, and tools that empower you to design and deploy applications on the Internet.

Click to enroll for the course on the University website 

PredictionX: Lost Without Longitude.
Explore the history of navigation, from stars to satellites.

What you’ll learn
What exactly navigation is and how it works

The importance of position, direction, and speed

The many navigational tools of the 18th century

How the motion of the sun and stars aids navigation

The historical context of navigation’s technical advances

The story of John Harrison and The Longitude Prize

Course description
Humans have been navigating for ages. As we developed the tools and techniques for determining location and planning a route, navigation grew into a practice, an art, and a science. Navigational skill has long been tied to commercial, economic, and military success. However, the ability to predict when and where one will reach a distant destination is more than just a key to empire-building — it’s often a matter of life and death.

Using video, text, infographics, and Worldwide Telescope tours, we will explore the tools and techniques that navigators have used, with a particular focus on the importance (and difficulty) of measuring longitude. Grounded in the principles of position, direction, speed, and time, we will learn the challenges of navigating without a GPS signal. We’ll learn how the Age of Exploration and the economic forces of worldwide trade encouraged scientific progress in navigation; and how Jupiter’s moons, lunar eclipses, and clockmakers all played a part in orienting history’s navigators.

Centuries of progress in navigation have helped put humans on the moon and spacecraft on a comet. This course will explain how we got there, and how that progress enables you to get where you’re going today.

Enroll here

Nonprofit Financial Stewardship Webinar: Introduction to Accounting and Financial Statements.
The Introduction to Nonprofit Accounting and Financial Statements webinars provide a great opportunity to learn the basic principles of nonprofit accounting.

Course description
The Introduction to Nonprofit Accounting and Financial Statements webinar series is designed to introduce basic nonprofit accounting concepts and financial statements to individuals who have had little or no experience with finance or accounting.

This self-paced webinar is being held in conjunction with the Nonprofit Financial Stewardship Executive Education program at Harvard Kennedy School. The webinar features Eric Schwartz, Managing Director in PricewaterhouseCoopers National Assurance Health Services.

Please note you will not receive a certificate for completing this webinar series.

Click here to enroll

PredictionX: John Snow and the Cholera Epidemic of 1854
An in-depth look at the 1854 London cholera epidemic in Soho and its importance for the field of epidemiology

What you’ll learn
John Snow’s role in creating modern epidemiology

Description of 19th century London life

Course description
In 1854, a cholera epidemic swept through the London neighborhood of Soho. In about three weeks, over 600 people died. This incident was, tragically, not unusual in London or the rest of the 19th-century world as a whole. The scourge of cholera seemed unstoppable and, even worse, unpredictable. But one doctor — ignored by the scientific community at large — set out to prove that he knew how cholera was spread.

Join us for this one-week, immersive learning experience where we explore John Snow’s London, from the streets of Soho to the dataset that helped create the map that changed our understanding of cholera and epidemiology forever.

This course features interactive tools including an interactive ArcGIS map of the 1854 cholera outbreak and a Timeline JS of John Snow’s investigation. This module is a part of PredictionX, which looks at the history of attempts to predict the future. PredictionX courses will cover topics from omens and oracles in ancient civilizations to modern computer simulations.

Enroll here 

CS50 for Lawyers
This course is a variant of Harvard University’s introduction to computer science, CS50, designed especially for lawyers (and law students).

What you will learn
Challenges at the Intersection of Law and Technology

Computational Thinking

Programming Languages

Algorithms, Data Structures

Cryptography

Cybersecurity

Course description.
This course is a variant of Harvard University’s introduction to computer science, CS50, designed especially for lawyers (and law students). Whereas CS50 itself takes a bottom-up approach, emphasizing mastery of low-level concepts and implementation details thereof, this course takes a top-down approach, emphasizing mastery of high-level concepts and design decisions related thereto. Ultimately, it equips students with a deeper understanding of the legal implications of technological decisions made by clients.

Through a mix of technical instruction and discussion of case studies, this course empowers students to be informed contributors to technology-driven conversations. In addition, it prepares students to formulate technology-informed legal arguments and opinions. Along the way, it equips students with hands-on experience with Python and SQL, languages via which they can mine data for answers themselves.

Topics include algorithms, cloud computing, databases, networking, privacy, programming, scalability, security, and more, with a particular emphasis on understanding how the work developers do and the technological solutions they employ may impact clients. Students emerge from this course with a first-hand appreciation of how it all works and all the more confident in the factors that should guide their decision-making.

Enroll

PredictionX: Omens, Oracles & Prophecies.
An overview of divination systems, ranging from ancient Chinese bone burning to modern astrology.

What you’ll learn.
A variety of methods from across cultures and history for divining the future

A common framework that describes human attempts to predict the future

Course description.
Humans have always sought to know their own future, be it the destiny of an empire or an individual’s fate. Across cultures and history, we find people trying to find their place in the Universe by attempting to gaze into the future.

Immersive learning experience as we explore “pre-scientific” prediction systems ranging from ancient Chinese bone burning to the Oracle of Delphi to modern astrology and tarot, with practitioners and Harvard faculty leading the journey. We will examine the details of over a dozen prediction systems as well as theoretical frameworks connecting them.

This module is a part of PredictionX, which examines our efforts to predict the future over all of recorded history. PredictionX courses will cover topics from omens and oracles in ancient civilizations, which this course discusses, to the evolution of the general approach to science most take today as well as modern computer simulations and the role they play in predicting our futures today.

Enroll here on the University website 

CS50’s Introduction to Artificial Intelligence with Python.
Learn to use machine learning in Python in this introductory course on artificial intelligence.

What you’ll learn
Graph search algorithms

Reinforcement learning

Machine learning

Artificial intelligence principles

How to design intelligent systems

How to use AI in Python programs

Course description.
AI is transforming how we live, work, and play. By enabling new technologies like self-driving cars and recommendation systems or improving old ones like medical diagnostics and search engines, the demand for expertise in AI and machine learning is growing rapidly. This course will enable you to take the first step toward solving important real-world problems and future-proofing your career.

CS50’s Introduction to Artificial Intelligence with Python explores the concepts and algorithms at the foundation of modern artificial intelligence, diving into the ideas that give rise to technologies like game-playing engines, handwriting recognition, and machine translation.

Through hands-on projects, students gain exposure to the theory behind graph search algorithms, classification, optimization, reinforcement learning, and other topics in artificial intelligence and machine learning as they incorporate them into their own Python programs. By course’s end, students emerge with experience in libraries for machine learning as well as knowledge of artificial intelligence principles that enable them to design intelligent systems of their own.

Enroll now to gain expertise in one of the fastest-growing domains of computer science from the creators of one of the most popular computer science courses ever, CS50. You’ll learn the theoretical frameworks that enable these new technologies while gaining practical experience in how to apply these powerful techniques in your work.

Click here to enroll

Mechanical Ventilation for COVID-19
This course will provide licensed medical professionals with an understanding of mechanical ventilation so they can assist with the operation of mechanical ventilators during the COVID-19 pandemic.

What you’ll learn
Principles and physiology of mechanical ventilation

Initial ventilator settings and adjustments

Troubleshooting the ventilator

Ventilating patients in special circumstances including Acute Respiratory Distress Syndrome and Obstructive Lung Disease

How to evaluate a patient for estuation readiness and conduct the estuation procedure

How standard ventilation practices are different in COVID-19 patients

Course description.
This course will help prepare licensed non-ICU hospital clinicians to assist in the operation of a ventilator. Given the increasing number of patients contracting COVID-19 and developing pneumonia, the medical system is, and will continue to be, in dire need of licensed medical professionals who can assist in the operation of mechanical ventilators.

This course provides general information about mechanical ventilation. It is intended for licensed medical professionals. Patient needs and clinical care settings vary, and the information provided is not intended as medical, diagnostic or treatment advice. Ventilators should be used under the supervision of a qualified licensed medical professional.

Consult the manufacturer’s instructions for the particular device you are using and the product information sheet for any drug administered. This subject is complex and evolving. The authors and providers of this course do not warrant that the information provided is accurate in every respect or complete, and disclaim responsibility for your use and application of the information.

Enroll here 

Advanced Bioconductor.
Learn advanced approaches to genomic visualization, reproducible analysis, data architecture, and exploration of cloud-scale consortium-generated genomic data.

What you’ll learn
Static and interactive visualization of genomic data

Reproducible analysis methods

Memory-sparing representations of genomic assays

Working with multiomic experiments in cancer

Targeted interrogation of cloud-scale genomic archives

Course description
In this course, we begin with approaches to visualization of genome-scale data, and provide tools to build interactive graphical interfaces to speed discovery and interpretation. Using knit and markdown as basic authoring tools, the concept of reproducible research is developed, and the concept of an executable document is presented.

In this framework reports are linked tightly to the underlying data and code, enhancing reproducibility and extensibility of completed analyses. We study out-of-memory approaches to the analysis of very large data resources, using relational databases or HDF5 as “back ends” with familiar R interfaces.

Multiomic data integration is illustrated using a curated version of The Cancer Genome Atlas. Finally, we explore cloud-resident resources developed for the Encyclopedia of DNA Elements (the ENCODE project). These address transcription factor binding, ATAC-seq, and RNA-seq with CRISPR interference.

Given the diversity in educational background of our students we have divided the series into seven parts. You can take the entire series or individual courses that interest you. If you are a statistician you should consider skipping the first two or three courses, similarly, if you are biologists you should consider skipping some of the introductory biology lectures.

Note that the statistics and programming aspects of the class ramp up in difficulty relatively quickly across the first three courses. By the third course will be teaching advanced statistical concepts such as hierarchical models and by the fourth advanced software engineering skills, such as parallel computing and reproducible research concepts.

Enroll here

 

Case Studies in Functional Genomics
Perform RNA-Seq, ChIP-Seq, and DNA methylation data analyses, using open source software, including R and Bioconductor.

What you’ll learn.

Mapping reads

Quality assessment of Next Generation Data

Analyzing RNA-seq data

Analyzing DNA methylation data

Analyzing ChIP Seq data

Course description.
We will explain how to perform the standard processing and normalization steps, starting with raw data, to get to the point where one can investigate relevant biological questions. Throughout the case studies, we will make use of exploratory plots to get a general overview of the shape of the data and the result of the experiment. We start with RNA-seq data analysis covering basic concepts and a first look at FASTQ files.

The course will also go over quality control of FASTQ files; aligning RNA-seq reads; visualizing alignments and move on to analyzing RNA-seq at the gene-level : counting reads in genes; Exploratory Data Analysis and variance stabilization for counts; count-based differential expression; normalization and batch effects.

Finally, we cover RNA-seq at the transcript-level : inferring expression of transcripts (i.e. alternative isoforms); differential exon usage. We will learn the basic steps in analyzing DNA methylation data, including reading the raw data, normalization, and finding regions of differential methylation across multiple samples. The course will end with a brief description of the basic steps for analyzing ChIP-seq datasets, from read alignment, to peak calling, and assessing differential binding patterns across multiple samples.

Given the diversity in educational background of our students we have divided the series into seven parts. You can take the entire series or individual courses that interest you. If you are a statistician you should consider skipping the first two or three courses, similarly, if you are biologists you should consider skipping some of the introductory biology lectures.

Note that the statistics and programming aspects of the class ramp up in difficulty relatively quickly across the first three courses. By the third course will be teaching advanced statistical concepts such as hierarchical models and by the fourth advanced software engineering skills, such as parallel computing and reproducible research concepts.

Apply to study the course here

Systematic Approaches to Policy Design.
This free online course from Harvard Kennedy School introduces approaches to analytical decision-making for policy design.

What you’ll learn.
The goal of this course is to provide a brief overview of three commonly-used approaches for analytical decision-making. Harvard Kennedy School also offers an in-depth online course on this topic as part of the Public Leadership Credential (PLC).

Course description.
This course will help senior officials make greater use of data and evidence in their everyday decision-making. This unit presents a few over-arching frameworks that are helpful in approaching complicated decisions. You will learn how to organize your thinking, how to break a problem down into parts, and how to figure out where evidence can be most useful in making a decision.

Study the course here 

 

Improving Global Health: Focusing on Quality and Safety.

8 WEEKS LONG

What you’ll learn
The relationship between quality and population health

A framework for understanding and thinking about healthcare quality

Approaches to quality measurement

The role of information and communication technology in assessing and improving quality

Tools and contextual knowledge to improve the quality delivered in health systems

Course description
Improving access to healthcare is only as useful as the quality of care provided. Many agree that quality is important – but what is it? How do we define it? How do we measure it? And most importantly, how might we make it better?

The course is designed for those who care about health and healthcare and wish to learn more about how to measure and improve that care – for themselves, for their institutions, or for their countries. Each session will be interactive and provide concrete tools that students can use. We will empower you to raise questions, propose concrete solutions, and promote change.

We have assembled leading thinkers from around the globe – not only people who are experts – but people with real, hands-on experience running organizations, hospitals, and ministries of health. So join us – whether you are a physician, nurse, or another healthcare provider, if you are a student of medicine, public health, or health policy, or a patient who simply cares about getting good care – this course is for you.

Here to study the course

 

The Health Effects of Climate Change
Perform RNA-Seq, ChIP-Seq, and DNA methylation data analyses, using open source software, including R and Bioconductor.

5 WEEKS LONG

Learn how global warming impacts human health, and the ways we can diminish those impacts

What you’ll learn
Climate change’s impacts on nutrition, migration, and infectious diseases

The research methods used in this field

Strategies to mitigate and adapt to the health impacts of climate change

How changes in Earth’s atmosphere affect health outcomes

How to assess the various ways of addressing the health effects of global warming

Course description
Our world’s climate is changing. Of the top twenty hottest years ever recorded, sixteen have occurred in the last two decades. This warming has already had a profound effect. Many feel powerless in the face of this challenge, but you can make a difference.

By looking at air quality, nutrition, infectious diseases, and human migration, this course will show you how increases in greenhouse gases impact public health. Experts working in a variety of settings will present their recommendations for responding to these challenges, and interested students will have the opportunity to learn about the research methods that measure the health effects of climate change.

Created with support from the Harvard Global Health Institute, this course will explain how climate change impacts people around the globe, but also how it directly affects you and your life. Though your risk rises with the rising global temperatures, climate change is a solvable problem, and there are things you can do to mitigate that risk.

This course is not an elegy for the planet, but a call to action. Enroll now to learn what you can do to reduce the harm caused by global warming.

Here to study this course

Improving Global Health: Focusing on Quality and Safety

8 WEEKS LONG

The Health Effects of Climate Change
Learn how global warming impacts human health, and the ways we can diminish those impacts.

What you’ll learn
Climate change’s impacts on nutrition, migration, and infectious diseases

The research methods used in this field

Strategies to mitigate and adapt to the health impacts of climate change

How changes in Earth’s atmosphere affect health outcomes

How to assess the various ways of addressing the health effects of global warming

Course description
Our world’s climate is changing. Of the top twenty hottest years ever recorded, sixteen have occurred in the last two decades. This warming has already had a profound effect. Many feel powerless in the face of this challenge, but you can make a difference.

By looking at air quality, nutrition, infectious diseases, and human migration, this course will show you how increases in greenhouse gases impact public health. Experts working in a variety of settings will present their recommendations for responding to these challenges, and interested students will have the opportunity to learn about the research methods that measure the health effects of climate change.

Created with support from the Harvard Global Health Institute, this course will explain how climate change impacts people around the globe, but also how it directly affects you and your life. Though your risk rises with the rising global temperatures, climate change is a solvable problem, and there are things you can do to mitigate that risk.

This course is not an elegy for the planet, but a call to action. Enroll now to learn what you can do to reduce the harm caused by global warming.

Follow here to study this course 

 

Justice Today: Money, Markets, and Morals (edX)

Explore the ethical controversies of financial markets.

What you’ll learn

The ways in which markets have crowded out non-market spaces and norms.

To reflect about the moral limits – if any – of market norms.

How “needs” are subjective, and place value on nontraditional goods and services.

How to clearly articulate a philosophical argument about the allocation of goods and the moral boundaries of markets in our societies.

How to develop and refine your own ethical framework to address challenging moral dilemmas

Course description

Should you be able to buy a vote, citizenship, or college admission? Would you bet on someone else’s life—or, more accurately their death date? What about paying to see the exploitation of a person?

Competition, status, and greed often cause one’s moral compass to move in the wrong direction, but if there is a market to support these macabre sales, then the question to consider is this: Are there certain moral and civic goods, that markets do not honor, and money cannot buy?

Deciding case-by-case the ethical considerations to determine when and if people’s rights are violated, you will immerse yourself in videos from the Institute for New Economic Thinking, learning alongside a global cohort of peers—engaging in discussion and debating the moral dividing line.

Led by award-winning Harvard Professor Michael J. Sandel, professor of the popular HarvardX course Justice, you will explore topics that might sound familiar, like price gouging and human organ sales—but have you thought of linestanding, refugee quotas, or lookism? This course will take a deep dive into various “needs” and whether they abuse market mechanisms.

Here to enroll

 

High-Dimensional Data Analysis
Free
4weeks

A focus on several techniques that are widely used in the analysis of high-dimensional data.

What you’ll learn

Mathematical Distance

Dimension Reduction

Singular Value Decomposition and Principal Component Analysis

Multiple Dimensional Scaling Plots

Factor Analysis

Dealing with Batch Effects

Course description

If you’re interested in data analysis and interpretation, then this is the data science course for you. We start by learning the mathematical definition of distance and use this to motivate the use of the singular value decomposition (SVD) for dimension reduction and multi-dimensional scaling and its connection to principal component analysis.

you will learn about the batch effect: the most challenging data analytical problem in genomics today and describe how the techniques can be used to detect and adjust for batch effects. Specifically, we will describe the principal component analysis and factor analysis and demonstrate how these concepts are applied to data visualization and data analysis of high-throughput experimental data.

Finally, we give a brief introduction to machine learning and apply it to high-throughput data. We describe the general idea behind clustering analysis and descript K-means and hierarchical clustering and demonstrate how these are used in genomics and describe prediction algorithms such as k-nearest neighbors along with the concepts of training sets, test sets, error rates, and cross-validation.

This class was supported in part by NIH grant R25GM114818.

Enroll to study this course, click here 

 

Introduction to Linear Models and Matrix Algebra

Learn to use R programming to apply linear models to analyze data in life sciences.

4 WEEKS LONG

Introduction to Linear Models and Matrix Algebra

Learn to use R programming to apply linear models to analyze data in life sciences

What you’ll learn

Matrix algebra notation

Matrix algebra operations

Application of matrix algebra to data analysis

Linear models

Brief introduction to the QR decomposition

Course description

Matrix Algebra underlies many of the current tools for experimental design and the analysis of high-dimensional data. In this introductory data analysis course, we will use matrix algebra to represent the linear models that commonly used to model differences between experimental units. We perform statistical inference on these differences. Throughout the course, we will use the R programming language.

This class was supported in part by NIH grant R25GM114818.

Enroll here 

 

Statistics and R

An introduction to basic statistical concepts and R programming skills necessary for analyzing data in the life sciences.

What you’ll learn

Random variables

Distributions

Inference: p-values and confidence intervals

Exploratory Data Analysis

Non-parametric statistics

Course description

We will learn the basics of statistical inference in order to understand and compute p-values and confidence intervals, all while analyzing data with R. We provide R programming examples in a way that will help make the connection between concepts and implementation. Problem sets requiring R programming will be used to test understanding and ability to implement basic data analyses. We will use visualization techniques to explore new data sets and determine the most appropriate approach.

The course will describe robust statistical techniques as alternatives when data do not fit assumptions required by the standard approaches. By using R scripts to analyze data, you will learn the basics of conducting reproducible research.

Given the diversity in educational background of our students we have divided the series into seven parts. You can take the entire series or individual courses that interest you. If you are a statistician you should consider skipping the first two or three courses, similarly, if you are biologists you should consider skipping some of the introductory biology lectures.

Note that the statistics and programming aspects of the class ramp up in difficulty relatively quickly across the first three courses. By the third course will be teaching advanced statistical concepts such as hierarchical models and by the fourth advanced software engineering skills, such as parallel computing and reproducible research concepts.

Enroll here 

Innovating in Health Care
Find innovation opportunities in health care technology, management, consulting, or investing by examining health care cost, quality, and access.

What you’ll learn

How innovation in health care can improve cost, quality, and access

The six factors that critically shape competitive strategies for innovative health care ventures

What other elements combine to create a feasible business model for an innovative health care venture

How to distinguish the key to successful innovations from those likely to fail

How to apply the IHC framework to evaluate business models across different kinds of innovations

How to craft your own business plan for your next innovation venture

Course description

Health care spending, quality, and access continue to plague America and global nations alike. With U.S. health care costs trending toward $4 trillion in 2020, the need to innovate and create smart, viable business plans is more important than ever before.

Innovating in Health Care (IHC) explores how creating successful global business ventures in health care will not only improve access, but also better meet the needs of consumers and societies. The course focuses on a framework of evaluating and crafting business models that attain alignment between an entrepreneurial health care venture and the six factors that critically shape new health care ventures—structure, financing, regulations, consumers, accountability, technology, and public policy. Innovating in Health Care discusses the impact of these factors on business models for three different kinds of innovations: consumer-focused, technology-driven, and integrations which create scale.

Through lectures, insights from global health care innovators, and real-world case examples, learners will explore the challenges and decisions facing real entrepreneurial health firms and how to analyze each situation through the IHC framework. By the end of the course, you will understand how to evaluate opportunities and how to apply elements of successful business models for different kinds of health care innovations.

The course is offered in two formats: an open, online experience and a limited, team-based deep dive experience, where teams (self-assembled or newly created online) can produce actual business plans evaluated by peer teams and the IHC course instructors.

Enroll here 

 

Improving Your Business Through a Culture of Health

Learn how a Culture of Health can transform your business to improve the well-being of your employees and company, while increasing revenue.

What you’ll learn

The business case to adopt a Culture of Health

The ways you are already involved in health, whether you realize it or not

How to implement a Culture of Health in your business to gain a competitive advantage

How to reduce costs, increase revenues, and enhance your business’s reputation using a Culture of Health

Real-world examples of Culture of Health implementation that could apply to your business

Course description

While the United States is one of the world’s wealthiest nations, it is far from the healthiest. Our nation’s burden of disease affects businesses every day, from sick employees and families reducing productivity and increasing costs, to product recalls and failures, to environmental scandals such as toxic chemical emissions harming communities and reputations.

Named Runner Up for Best Online Program of 2018 by ProEd, this HarvardX course is presented by leading faculty from the Harvard T.H. Chan School of Public Health and the Harvard Business School and will provide businesses with strategies, tactics, and tools to gain a competitive advantage by implementing a Culture of Health to address these issues and stay ahead.

Embracing a Culture of Health can improve your employees’ well-being as well as the health of your consumers, your communities, and the environment. A Culture of Health can help you to reduce costs, increase revenues and profits, and enhance your company’s reputation.

For example, employees who work in a healthy and safe environment spend less time away from work for health reasons, decreasing interruptions, while increasing output and employee retention. When employees and customers spend less on health care, they have more disposable income to spend on non–health care needs, boosting the economy, and benefiting your business.

Strengthening your business using the Culture of Health approach will enhance the greater good by promoting well-being—benefitting society, your business and employees, your customers and communities, and you.

Enroll here

Finding opportunities abroad: 4 sure routes to relocate to any country of your choice.

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United Nations Foundation’s Remote Jobs and paid Internship opportunities.

Free online Course at king’s College London with Certificate