In this course you will engage in a series of challenges designed to increase your own happiness and build more productive habits. As preparation for these tasks, Professor Laurie Santos reveals misconceptions about happiness, annoying features of the mind that lead us to think the way we do, and the research that can help us change. You will ultimately be prepared to successfully incorporate a specific wellness activity into your life.
Everything we know about how to start a startup, for free, from some of the world experts.
CS183B is a class we taught at Stanford. It’s a sort of one-class business course for people who want to start startups.
Videos of the lectures, associated reading materials, and assignments are all available here. There are 20 videos, some with a speaker or two and some with a small panel. It’s be 1,000 minutes of content if you watch it all.
We cover how to come up with ideas and evaluate them, how to get users and grow, how to do sales and marketing, how to hire, how to raise money, company culture, operations and management, business strategy, and more.
You can’t teach everything necessary to succeed in starting a company, but I think we were able to teach a surprising amount. We’ve tried to take some of the best speakers from the past 9 years of Y Combinator dinners and arrange them in a way that will hopefully make sense.
We did this because we believe helping a lot of people be better at starting companies will be good for everyone. It is hopefully valuable even for people who don’t want to start startups.
Talks like these have really helped Y Combinator founders create their companies. We hope you find it helpful too!
-Sam
This course, by Robert M. Sapolsky, covers how to approach complex normal and abnormal behaviors through biology; how to integrate disciplines including sociobiology, ethology, neuroscience, and endocrinology, to examine behaviors such as aggression, sexual behavior, language use, and mental illness.
We live in a complex world with diverse people, firms, and governments whose behaviors aggregate to produce novel, unexpected phenomena. We see political uprisings, market crashes, and a never ending array of social trends. How do we make sense of it? Models. Evidence shows that people who think with models consistently outperform those who don't. And, moreover people who think with lots of models outperform people who use only one. Why do models make us better thinkers? Models help us to better organize information - to make sense of that fire hose or hairball of data (choose your metaphor) available on the Internet. Models improve our abilities to make accurate forecasts. They help us make better decisions and adopt more effective strategies. They even can improve our ability to design institutions and procedures. In this class, I present a starter kit of models: I start with models of tipping points. I move on to cover models explain the wisdom of crowds, models that show why some countries are rich and some are poor, and models that help unpack the strategic decisions of firm and politicians.
The models covered in this class provide a foundation for future social science classes, whether they be in economics, political science, business, or sociology. Mastering this material will give you a huge leg up in advanced courses. They also help you in life. Here's how the course will work. For each model, I present a short, easily digestible overview lecture. Then, I'll dig deeper. I'll go into the technical details of the model. Those technical lectures won't require calculus but be prepared for some algebra. For all the lectures, I'll offer some questions and we'll have quizzes and even a final exam. If you decide to do the deep dive, and take all the quizzes and the exam, you'll receive a Course Certificate. If you just decide to follow along for the introductory lectures to gain some exposure that's fine too. It's all free. And it's all here to help make you a better thinker!
Powerful mental tools to help you master tough subjects. This course gives you easy access to the invaluable learning techniques used by experts in art, music, literature, math, science, sports, and many other disciplines. We’ll learn about the how the brain uses two very different learning modes and how it encapsulates (“chunks”) information. We’ll also cover illusions of learning, memory techniques, dealing with procrastination, and best practices shown by research to be most effective in helping you master tough subjects.
Using these approaches, no matter what your skill levels in topics you would like to master, you can change your thinking and change your life. If you’re already an expert, this peep under the mental hood will give you ideas for: turbocharging successful learning, including counter-intuitive test-taking tips and insights that will help you make the best use of your time on homework and problem sets. If you’re struggling, you’ll see a structured treasure trove of practical techniques that walk you through what you need to do to get on track. If you’ve ever wanted to become better at anything, this course will help serve as your guide.
Gamification is the application of game elements and digital game design techniques to non-game problems, such as business and social impact challenges. This course will teach you the mechanisms of gamification, why it has such tremendous potential, and how to use it effectively.
What are people most afraid of? What do our dreams mean? Are we natural-born racists? What makes us happy? What are the causes and cures of mental illness? This course tries to answer these questions and many others, providing a comprehensive overview of the scientific study of thought and behavior. It explores topics such as perception, communication, learning, memory, decision-making, persuasion, emotions, and social behavior. We will look at how these aspects of the mind develop in children, how they differ across people, how they are wired-up in the brain, and how they break down due to illness and injury.
Through inspiring examples and stories, discover the power of data and use analytics to provide an edge to your career and your life.
In the last decade, the amount of data available to organizations has reached unprecedented levels. Data is transforming business, social interactions, and the future of our society. In this course, you will learn how to use data and analytics to give an edge to your career and your life.
We will examine real world examples of how analytics have been used to significantly improve a business or industry. These examples include Moneyball, eHarmony, the Framingham Heart Study, Twitter, IBM Watson, and Netflix. Through these examples and many more, we will teach you the following analytics methods: linear regression, logistic regression, trees, text analytics, clustering, visualization, and optimization. We will be using the statistical software R to build models and work with data. The contents of this course are essentially the same as those of the corresponding MIT class (The Analytics Edge). It is a challenging class, but it will enable you to apply analytics to real-world applications.
The class will consist of lecture videos, which are broken into small pieces, usually between 4 and 8 minutes each. After each lecture piece, we will ask you a "quick question" to assess your understanding of the material. There will also be a recitation, in which one of the teaching assistants will go over the methods introduced with a new example and data set. Each week will have a homework assignment that involves working in R or LibreOffice with various data sets. (R is a free statistical and computing software environment we'll use in the course. See the Software FAQ below for more info). At the end of the class there will be a final exam, which will be similar to the homework assignments.
If you’re new to all this deep learning stuff, then don’t worry—we’ll take you through it all step by step. (And if you’re an old hand, then you may want to check out our advanced course: Deep Learning From The Foundations.) We do however assume that you’ve been coding for at least a year, and also that (if you haven’t used Python before) you’ll be putting in the extra time to learn whatever Python you need as you go. (For learning Python, we have a list of python learning resources available.) You might be surprised by what you don’t need to become a top deep learning practitioner. You need one year of coding experience, a GPU and appropriate software (see below), and that’s it. You don’t need much data, you don’t need university-level math, and you don’t need a giant data center.
We are living in a contentious time in history. Fundamental disagreements on critical policy, economic, and political issues make it essential to learn how to compose an effective argument and to analyze the arguments of others. This ability will help you engage in civil discourse and make needed changes in society. Conveying a convincing message can benefit your personal, public, and professional lives.
This course is an introduction to the theory and practice of rhetoric, the art of persuasive writing and speech. In it, you will learn to construct and defend compelling arguments, a crucial skill in many settings. We will be using selected speeches from prominent twentieth-century Americans -- including Martin Luther King Jr., John F. Kennedy, Margaret Chase Smith, Ronald Reagan, and more -- to explore and analyze rhetorical structure and style. Through this analysis, you will learn how speakers and writers persuade an audience to adopt their point of view.
Built around Harvard Professor James Engell's on-campus course, "Elements of Rhetoric," this course will help you analyze and apply rhetorical structure and style, appreciate the relevance of persuasive communication in your own life, and understand how to persuade and recognize when someone is trying to persuade you. You will be inspired to share your viewpoint and discover the most powerful ways to convince others to champion your cause. Join us to find your voice!
The first MOOC to teach positive psychology. Learn science-based principles and practices for a happy, meaningful life. A free eight-week Science of Happiness course that will offer practical, research-backed tips on living a happy and meaningful life.
We all want to be happy, and there are countless ideas about what happiness is and how we can get some. But not many of those ideas are based on science. That's where this course comes in.
"The Science of Happiness" is the first MOOC to teach the ground-breaking science of positive psychology, which explores the roots of a happy and meaningful life. Students will engage with some of the most provocative and practical lessons from this science, discovering how cutting-edge research can be applied to their own lives. Created by UC Berkeley's Greater Good Science Center, the course will zero in on a fundamental finding from positive psychology: that happiness is inextricably linked to having strong social connections and contributing to something bigger than yourself--the greater good. Students will learn about the cross-disciplinary research supporting this view, spanning the fields of psychology, neuroscience, evolutionary biology, and beyond.
What's more, "The Science of Happiness" offers students practical strategies for tapping into and nurturing their own happiness, including trying several research-backed activities that foster social and emotional well-being, and exploring how their own happiness changes along the way.
The course's co-instructors, Dacher Keltner and Emiliana Simon-Thomas, are not only leading authorities on positive psychology but also gifted teachers skilled at making science fun and personal. They'll be joined by world-renowned experts discussing themes like empathy, mindfulness, and gratitude--experts including Barbara Fredrickson, Paul Ekman, Sonja Lyubomirsky, and Jon Kabat-Zinn. Health professionals who register can earn continuing education units for their participation.
Consider signing up for this course with a friend or group - tweet about your registration, share it on Facebook, and use the buddy system to stay on track. Join the conversation on The Greater Good Science Center Facebook page, or in the BerkeleyX: GG101x The Science of Happiness Facebook group.
NOTE: This course is a self-paced course on edX.
Learn mindfulness techniques to reduce stress and improve your wellbeing and work/study performance in this online course.
Stressed by the pace of modern life? Mindfulness might be the answer. Research shows that when you’re not deliberately paying attention to something, your brain goes into default mode causing increased anxiety and poor communication. Mindfulness can help end this unproductive behaviour. In this online course, you’ll learn how to incorporate mindfulness practices into your life, to reduce stress and improve your personal and professional life.
In this career playbook, you will learn how to find and connect with the right contacts, set up interviews, and get a referral to your dream job.
Taught by world leading experts Andreas Antonopoulos and Antonis Polemitis, and attended by over 30,000 students, DFIN-511 is the world’s first MOOC on Digital Currencies. Introduction to Digital Currencies covers both a technical overview of decentralized digital currencies like Bitcoin, as well as their broader economic, legal and financial context. Through this free online course, students get first-hand knowledge of what they are, why they exist, why they are so important for improving financial services, and more.
No previous knowledge of Cryptocurrencies or Blockchain technology is demanded, and no specialized knowledge in either computing, economics or finance is required. The courses are self-contained, with plenty of resources for you to go further in the topics, and you don’t need buy any books. Roughly each of the 12 MOOC sessions, represent individual courses in the MSc that dive far deeper into the specific elements that are discussed in the MOOC. Students who successfully complete the course and are interested in pursuing the full MSc degree will be able to receive credit if they successfully pass their assessment.
AI is not only for engineers. If you want your organization to become better at using AI, this is the course to tell everyone--especially your non-technical colleagues--to take.
In this course, you will learn:
- The meaning behind common AI terminology, including neural networks, machine learning, deep learning, and data science
- What AI realistically can--and cannot--do
- How to spot opportunities to apply AI to problems in your own organization
- What it feels like to build machine learning and data science projects
- How to work with an AI team and build an AI strategy in your company
- How to navigate ethical and societal discussions surrounding AI
Though this course is largely non-technical, engineers can also take this course to learn the business aspects of AI.
Writing well is one of the most important skills you can develop to be successful in the business world. Over seventy companies and thirty thousand students--from professional writers to new employees to non-native English speakers to seasoned executives--have used the techniques in Business Writing to power their ability to communicate and launch their ideas. This course will teach you how to apply the top ten principles of good business writing to your work, how to deploy simple tools to dramatically improve your writing, and how to execute organization, structure, and revision to communicate more masterfully than ever. From the very first lesson, you'll be able to apply your new learning immediately to your work and improve your writing today. Your ideas are powerful. Learn how to deliver them with the clarity and impact they deserve.
"Thank you for giving me the knowledge I need in life. [Business Writing] was helpful, life changing, and has made a huge impact in my writing." -- Message from a Business Writing student
The principles you'll learn in this course enable you to become a great business writer. They also provide the foundation for moving into Graphic Design and Successful Presentation, so that you can unleash your best professional self whenever--and however--you present your ideas in the workplace.
Master the basics of digital marketing with our free course accredited by Interactive Advertising Bureau Europe and The Open University. There are 26 modules to explore, all created by Google trainers, packed full of practical exercises and real-world examples to help you turn knowledge into action.
Learn fundamental principles of architecture — as an academic subject or a professional career — by studying some of history’s most important buildings.
Architecture engages a culture’s deepest social values and expresses them in material, aesthetic form. This course will teach you how to understand architecture as both cultural expression and technical achievement. Vivid analyses of exemplary buildings, and hands-on exercises in drawing and modeling, will bring you closer to the work of architects and historians.
The first part of the course introduces the idea of the architectural imagination. Perspective drawing and architectural typology are explored and you will be introduced to some of the challenges in writing architectural history.
Then we address technology as a component of architecture. You will discover ways that innovative technology can enable and promote new aesthetic experiences, or disrupt age-old traditions. Technological advances changed what could be built, and even what could even be thought of as architecture.
Finally, we'll confront architecture’s complex relationship to its social and historical contexts and its audiences, achievements, and aspirations. You will learn about architecture’s power of representation and see how it can produce collective meaning and memory.
Architecture is one of the most complexly negotiated and globally recognized cultural practices, both as an academic subject and a professional career. Its production involves all of the technical, aesthetic, political, and economic issues at play within a given society. Join us as we examine how architecture engages, mediates, and expresses a culture’s complex aspirations.
This course is an introduction to the primary concepts of gaming, and an exploration of how these basic concepts affect the way gamers interact with our games. In this course you will understand what defines a “game” and the mechanics and rules behind different types of games. Through four linked assignments you'll learn ways to create and describe a game concept, and specifically what makes a compelling game. This course focuses on the conceptual underpinnings of games, and all assignments can be completed with a pencil and paper – no previous programming knowledge is required.
The last three or four decades have seen a remarkable evolution in the institutions that comprise the modern monetary system. The financial crisis of 2007-2009 is a wakeup call that we need a similar evolution in the analytical apparatus and theories that we use to understand that system. Produced and sponsored by the Institute for New Economic Thinking, this course is an attempt to begin the process of new economic thinking by reviving and updating some forgotten traditions in monetary thought that have become newly relevant.
Three features of the new system are central.
Most important, the intertwining of previously separate capital markets and money markets has produced a system with new dynamics as well as new vulnerabilities. The financial crisis revealed those vulnerabilities for all to see. The result was two years of desperate innovation by central banking authorities as they tried first this, and then that, in an effort to stem the collapse.
Second, the global character of the crisis has revealed the global character of the system, which is something new in postwar history but not at all new from a longer time perspective. Central bank cooperation was key to stemming the collapse, and the details of that cooperation hint at the outlines of an emerging new international monetary order.
Third, absolutely central to the crisis was the operation of key derivative contracts, most importantly credit default swaps and foreign exchange swaps. Modern money cannot be understood separately from modern finance, nor can modern monetary theory be constructed separately from modern financial theory. That's the reason this course places dealers, in both capital markets and money markets, at the very center of the picture, as profit-seeking suppliers of market liquidity to the new system of market-based credit.
How does a good idea become a viable business opportunity? What is entrepreneurship and who fits the profile of an entrepreneur? This introductory course is designed to introduce you to the foundational concepts of entrepreneurship, including the definition of entrepreneurship, the profile of the entrepreneur, the difference between entrepreneurship and entrepreneurial management, and the role of venture creation in society. You’ll explore where technology entrepreneurship and impact entrepreneurship align and where they diverge, and you’ll learn proven techniques for identifying the opportunity, assessing the opportunity, hypothesis testing and creating a prototype.
By the end of this course, you’ll know how to test, validate and prototype your idea, and also whether or not you fit the profile of an entrepreneur! You’ll also be ready to move on to the next phase of entrepreneurship in Entrepreneurship 2: Launching the Start-Up.
This is CS50x, Harvard University's introduction to the intellectual enterprises of computer science and the art of programming for majors and non-majors alike, with or without prior programming experience. An entry-level course taught by David J. Malan, CS50x teaches students how to think algorithmically and solve problems efficiently. Topics include abstraction, algorithms, data structures, encapsulation, resource management, security, software engineering, and web development. Languages include C, Python, SQL, and JavaScript plus CSS and HTML. Problem sets inspired by real-world domains of biology, cryptography, finance, forensics, and gaming. The on-campus version of CS50x , CS50, is Harvard's largest course.
Students who earn a satisfactory score on 9 problem sets (i.e., programming assignments) and a final project are eligible for a certificate. This is a self-paced course–you may take CS50x on your own schedule.
HarvardX requires individuals who enroll in its courses on edX to abide by the terms of the edX honor code. HarvardX will take appropriate corrective action in response to violations of the edX honor code, which may include dismissal from the HarvardX course; revocation of any certificates received for the HarvardX course; or other remedies as circumstances warrant. No refunds will be issued in the case of corrective action for such violations. Enrollees who are taking HarvardX courses as part of another program will also be governed by the academic policies of those programs.
Build a movie recommendation system and learn the science behind one of the most popular and successful data science techniques.
Perhaps the most popular data science methodologies come from machine learning. What distinguishes machine learning from other computer guided decision processes is that it builds prediction algorithms using data. Some of the most popular products that use machine learning include the handwriting readers implemented by the postal service, speech recognition, movie recommendation systems, and spam detectors.
In this course, part of our Professional Certificate Program in Data Science, you will learn popular machine learning algorithms, principal component analysis, and regularization by building a movie recommendation system.
You will learn about training data, and how to use a set of data to discover potentially predictive relationships. As you build the movie recommendation system, you will learn how to train algorithms using training data so you can predict the outcome for future datasets. You will also learn about overtraining and techniques to avoid it such as cross-validation. All of these skills are fundamental to machine learning.
Machine learning is the science of getting computers to act without being explicitly programmed. In the past decade, machine learning has given us self-driving cars, practical speech recognition, effective web search, and a vastly improved understanding of the human genome. Machine learning is so pervasive today that you probably use it dozens of times a day without knowing it. Many researchers also think it is the best way to make progress towards human-level AI. In this class, you will learn about the most effective machine learning techniques, and gain practice implementing them and getting them to work for yourself. More importantly, you'll learn about not only the theoretical underpinnings of learning, but also gain the practical know-how needed to quickly and powerfully apply these techniques to new problems. Finally, you'll learn about some of Silicon Valley's best practices in innovation as it pertains to machine learning and AI.
This course provides a broad introduction to machine learning, data mining, and statistical pattern recognition. Topics include: (i) Supervised learning (parametric/non-parametric algorithms, support vector machines, kernels, neural networks). (ii) Unsupervised learning (clustering, dimensionality reduction, recommender systems, deep learning). (iii) Best practices in machine learning (bias/variance theory; innovation process in machine learning and AI). The course will also draw from numerous case studies and applications, so that you'll also learn how to apply learning algorithms to building smart robots (perception, control), text understanding (web search, anti-spam), computer vision, medical informatics, audio, database mining, and other areas.
Learn how fashion and luxury companies work and understand their brands, products, retail, and communication strategies. Travel through business models, international development, and product categories with industry influent experts.
Adopting a case-study approach, the course presents strategic brand management in luxury and fashion companies as a balancing act: tradition vs. innovation, expertise vs. experimentation, casual vs. stylish; in order to increase the brand value by nurturing the brand heritage and at the same time staying fresh, relevant, and contemporary in the global marketplace.
Topics such as the impact of new retail channels, new media channels, and new business declinations for the brand and emerging markets will be discussed in the course.
The Dalai Lama has said that Buddhism and science are deeply compatible and has encouraged Western scholars to critically examine both the meditative practice and Buddhist ideas about the human mind. A number of scientists and philosophers have taken up this challenge. There have been brain scans of meditators and philosophical examinations of Buddhist doctrines. There have even been discussions of Darwin and the Buddha: Do early Buddhist descriptions of the mind, and of the human condition, make particular sense in light of evolutionary psychology?
This course will examine how Buddhism is faring under this scrutiny. Are neuroscientists starting to understand how meditation “works”? Would such an understanding validate meditation—or might physical explanations of meditation undermine the spiritual significance attributed to it? And how are some of the basic Buddhist claims about the human mind holding up? We’ll pay special attention to some highly counterintuitive doctrines: that the self doesn’t exist, and that much of perceived reality is in some sense illusory. Do these claims, radical as they sound, make a certain kind of sense in light of modern psychology? And what are the implications of all this for how we should live our lives? Can meditation make us not just happier, but better people?
All the features of this course are available for free. It does not offer a certificate upon completion.
This introduction to moral and political philosophy is one of the most popular courses taught at Harvard College.
Taught by lauded Harvard professor Michael Sandel, Justice explores critical analysis of classical and contemporary theories of justice, including discussion of present-day applications. Topics include affirmative action, income distribution, same-sex marriage, the role of markets, debates about rights (human rights and property rights), arguments for and against equality, dilemmas of loyalty in public and private life. The course invites learners to subject their own views on these controversies to critical examination.
The principal readings for the course are texts by Aristotle, John Locke, Immanuel Kant, John Stuart Mill, and John Rawls. Other assigned readings include writings by contemporary philosophers, court cases, and articles about political controversies that raise philosophical questions.
This introductory Chinese language course will emphasize basic language skills for everyday life in Mandarin speaking countries.
The course utilizes pinyin, the standard system of Romanized spelling for transliterating Chinese, so learners will find it easy to understand and study the language.
The course is composed of several parts: Dialogues (taught through pinyin), listening comprehension exercises (in real-world situations), Chinese characters (frequently used in daily life), Mandarin songs, and Tea Time (tips for self-study).
This course is for anyone interested in learning Mandarin Chinese, especially if you plan to work or study in Mandarin-speaking countries. The course is also a good start toward the HSK Chinese proficiency test.
Master the technical skills needed to analyze financial statements and disclosures for use in financial analysis, and learn how accounting standards and managerial incentives affect the financial reporting process. By the end of this course, you’ll be able to read the three most common financial statements: the income statement, balance sheet, and statement of cash flows.
We have learned a lot recently about how the Universe evolved in 13.7 billion years since the Big Bang. More than 80% of matter in the Universe is mysterious Dark Matter, which made stars and galaxies to form. The newly discovered Higgs-boson became frozen into the Universe a trillionth of a second after the Big Bang and brought order to the Universe. Yet we still do not know how ordinary matter (atoms) survived against total annihilation by Anti-Matter. The expansion of the Universe started acceleration about 7 billion years ago and the Universe is being ripped apart. The culprit is Dark Energy, a mysterious energy multiplying in vacuum. I will present evidence behind these startling discoveries and discuss what we may learn in the near future.
We all negotiate on a daily basis. On a personal level, we negotiate with friends, family, landlords, car sellers and employers, among others. Negotiation is also the key to business success. No business can survive without profitable contracts. Within a company, negotiation skills can lead to your career advancement.
I hope that you will join the hundreds of thousands of learners who have made “Successful Negotiation” one of the most popular and highly-rated MOOCs worldwide. In the course, you’ll learn about and practice the four steps to a successful negotiation:
(1) Prepare: Plan Your Negotiation Strategy
(2) Negotiate: Use Key Tactics for Success
(3) Close: Create a Contract
(4) Perform and Evaluate: The End Game
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This course will help you be a better negotiator. Unlike many negotiation courses, we develop a framework for analyzing and shaping negotiations. This framework will allow you to make principled arguments that persuade others. It will allow you to see beneath the surface of apparent conflicts to uncover the underlying interests. You will leave the course better able to predict, interpret, and shape the behavior of those you face in competitive situations.
In this course, you will have several opportunities to negotiate with other students using case studies based on common situations in business and in life. You can get feedback on your performance and compare what you did to how others approached the same scenario. The cases also provide a setting to discuss a wide-ranging set of topics including preparing for a negotiation, making ultimatums, avoiding regret, expanding the pie, and dealing with someone who has a very different perspective on the world. Advanced topics include negotiating when you have no power, negotiating over email, and the role of gender differences in negotiation. To close out the course, we will hear insights from three negotiation experts: Linda Babcock, Herb Cohen, and John McCall MacBain.
In this course you will learn about the “head and heart” of everyday leadership, individual decision making, group decision making, and managing motivation. The objectives are to understand why and how leadership skills are so critical to organizational success, and learn the foundations of effective leadership skills.
Learners:
• Understand why and how leadership skills are so critical to organizational success
• Know how to use leadership skills to work more effectively with others, and are able to organize teams to work more effectively together
• Will be able to apply the foundations of effective leadership skills to everyday situations faced by leaders.
