The wide range of free online courses offered by Oxford, Cambridge, Harvard, Stanford and MIT

Machine Learning Specialization

The Machine Learning specialization from Stanford University is a foundational online program created in collaboration between DeepLearning Al and Stanford Online. This beginner’s program teaches the basics of machine learning and how to use these techniques to create real-world applications of artificial intelligence.

Provides a general introduction to modern machine learning, including supervised (multiple linear regression, logistic regression, neural networks and decision trees), unsupervised (clustering, dimensionality reduction, recommender systems) and some best practices used in machine learning. Valley. More information at: https://www.coursera.org/specializations/machine-learning-introduction

Neuropsychology in decision making from the University of Cambridge offers an introductory course to the complex cognitive process that is human decision-making, from a neuropsychological perspective. The course covers everything from basic neuroanatomy, neurodevelopment, important structures, chemicals, and networks to individual differences in decision making and decision deficits.

Students will learn the anatomical basis of a decision and how this anatomy develops, the physiological and chemical processes involved, the importance of the prefrontal cortex. Certification costs $149. More information at: https://www.edx.org/es/course/the-neuropsychology-of-decision-making

Harvard University offers a course for people with or without previous programming experience. They include topics of abstraction, algorithms, data structures, encapsulation, resource management, security, software engineering, and web development.

Language topics include C, Python, SQL, and JavaScript, as well as CSS and HTML. They also cover issues inspired by the real-world fields of biology, cryptography, finance, forensics, and gaming. Additional certificate for $149. More information at: https://pll.harvard.edu/course/cs50-introduction-computer-science?delta=0

Become an entrepreneur is designed in collaboration with MIT to guide people of all ages and backgrounds through the process of starting a business.

The aim is to explore an entrepreneurial path and tools to overcome the initial challenges of starting a business, developing new business ideas and conducting market research, to designing and testing your offer. and your presentation.

The course follows LaunchX’s successful approach to entrepreneurship that leverages discipline, lean methodologies, and design thinking from MIT. Additional certificate for $69. More information at: https://www.edx.org/es/course/becoming-an-entrepreneur

As part of the MicroMasters Manufacturing Principles program, this course aims to provide exposure to key principles and practices used in engineering management.

Students have the opportunity to apply basic functional business knowledge through the analysis of case studies. The focus is on applying the individual skills and management tools needed to manage innovation.

Topics are discussed in terms of career options such as engineer, manager, and entrepreneur. Through selected readings of texts and cases, the focus is on developing individual skills and management tools. Additional certificate for $175. More information: https://www.edx.org/es/course/management-in-engineering-ii

This Stanford online course uses a design thinking approach to help people of all ages and educational backgrounds develop a constructive and effective approach to designing their vocation.

The course is made up of five career-oriented career guidance concepts, illustrated with videos and complemented by personal reflections and exercises. Design your career is a class created by the Stanford Life Design Lab that helps people design their lives and careers. More information at: https://online.stanford.edu/courses/tds-y0003-designing-your-career

Harvard University delves into the world of data science through the Python language to learn how to understand, analyze and benefit from it. How do data scientists use this information that powers the modern world?

Data science is an ever-evolving field, using scientific algorithms and methods to analyze complex data sets. By the end of the course, the student will have a fundamental understanding of machine learning models and artificial intelligence (AI).

With Python, students will investigate regression models (linear, multilinear, and polynomial) and classification models (kNN, logistic), using popular libraries such as sklearn, Pandas, matplotlib, and numPy.

Additional certificate for $199. More information at: https://pll.harvard.edu/course/cs50-introduction-computer-science?delta=0

He game theory it is the mathematical modeling of the strategic interaction between rational (and irrational) agents. At Stanford, we try to explain the beyond of what we “call games”, in everyday language, such as chess, poker, football, etc.

Training includes modeling conflicts between nations, political campaigns, business competition, and business behavior in markets such as the New York Stock Exchange.

The course will provide the basics: game representation and strategies, extensive form (what computer scientists call game trees), Bayesian games (modeling things like auctions). More information: https://www.coursera.org/learn/game-theory-1

American prophet is a course on the life and thought of Dr. Martin Luther King, Jr. And from this training at Stanford University, the following questions will be answered: What did you really think and feel during the different campaigns you did you participate? you just became a civil rights leader in the first place? Was he really as confident in his methods as we thought?

The course uses primary source documents to help participants learn the best strategies for understanding them and using the information they contain for King’s study. Additional certificate for 50 dollars. More information at: https://online.stanford.edu/courses/sohs-yaammartinlking-american-prophet-inner-life-and-global-vision-martin-luther-king-jr

From Harvard comes a background that includes database design, scalability, security, and user experience. Through hands-on projects, you’ll learn how to write and use APIs, build interactive user interfaces, and take advantage of cloud services like GitHub and Heroku.

You will also gain knowledge and experience to apply it in virtual environments. Course content covers HTML, CSS, Git, Python, Django, SQL, patterns and migrations, JavaScript, and scalability and IT security concepts, among other topics. More information at: https://pll.harvard.edu/course/cs50s-web-programming-python-and-javascript?delta=0

From the prestigious University of Oxford, a course entitled From Poverty to Prosperity: Understanding Economic Development which will discuss and examine the following topics: the role of government and the main political, social and economic processes that affect development.

Also, why societies need centralized and inclusive policies and the process by which these policies are developed. Also the social factors that are necessary for development, including the importance of identities, norms and narratives. Or the impact of economic processes and the discussion of how government policies can promote or inhibit the exploitation of scale and specialization.

Additional certification for $169. More information at: https://www.edx.org/es/course/from-poverty-to-prosperity-understanding-economic

The lesson Computing teaches the basics of computing to an audience without prior knowledge. This proposal from Stanford University attempts to demystify the complexity of the computing world where students will interact with short programming snippets of code.

In this course, there is no need to install any additional software. It provides general information about today’s computers: what is a computer, what is hardware, what is software, what is Internet. According to the platform, “anyone with the ability to use a web browser can pass this course.”

Additional certificate for $199. More information at: https://online.stanford.edu/courses/soe-ycscs101-computer-science-101

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