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Stanford Online courses, operated by the Stanford Center for Development; offer learners access to Stanford’s global and extended education online; on campus, and on-site throughout the world.
DO NOT MISS OUT ON: Rosen College International Awards in the USA
Meanwhile, Most of Stanford Online’s global and extended education is delivered directly via Stanford platforms. Additionally, Stanford collaborates with some third-party organizations to offer specialized educational content on their platforms such as; Coursera, edX, Get smarter, Great learning, and many more.
Don’t you think it’s time for you to leverage these opportunities and gainfully benefit from them while they last? Carefully read through for details.
How To Take Stanford University Online Free Courses
These few tips will help you complete Stanford University online free courses;
1. Hold Yourself Accountable
You should be aware of the fact that the outcome of the online class solely depends on you. So, it’s your duty to plan yourself, set goals, reminders, and prompts to guide you.
It’s up to you to make sure you’ve allotted enough time to complete the work as at when due.
2. Be Time Conscious
Creating your own schedule is a highly important task to do while taking online classes. But that freedom can also be ineffective if you do not have firm time management skills. Without them, you might easily find yourself doing what you didn’t plan to do or what is out of schedule.
However, how you manage your time will depend on your schedule, learning style, and personality, here are some tips that will help you improve your time management skills.
- Look at the syllabus at the start of the semester and make note of major assignments: Marking them on a calendar and you check regularly so you know what workload is coming in the weeks ahead.
- Create a weekly schedule that you understand, by designating certain hours of each week to read, watching lectures, completing assignments, studying, and participating in forums.
- Check-in periodically throughout the term, and look at how you’re spending your time. Ask yourself: How much time am I dedicating to course reading and assignments? A little self-reflection and adjustment can go a long way.
3. Take The Online Course Serious
I understand there will be distractions and side attractions while taking online courses. But, you need to have the consecration and devotion to actually follow through and stick to the outlined course structure.
Treat it like it’s an offline face-to-face lecture where participation is compulsory and you wouldn’t want to miss a class.
4. Find A Way To Eliminate Distractions
From the buzzing social media updates, calls, YouTube videos, and even distractions from friends and family, you’ll be faced with many distractions that are capable of diverting your attention. It will be in your best interest to set aside time for other activities and focus on the online course when it’s time for it.
5. Adopt A Learning Pattern That Works For You
You need to figure out how you learn best and align your schedule to that pattern. If you like taking classes in the morning, make sure you create time for the online course in the morning likewise if you’re an evening person.
6. Actively Participate
For you to get the best out of the online course, you need to actively take part in the session through partaking in the assignments, online discussions, question and answer sessions, and all that. In this way, you’ll be able to build yourself through interacting with fellows, teachers, and mentors alike.
15 Best Free Online Courses at Stanford University | 12+ Stanford University Free Online Courses With Certificates
We’ve put together a list of 15 online free courses offered by Stanford University for you. Our selection criteria are focused on the duration, nature of course work offered, and ease of access.
We also considered the quality of education, average earnings of graduates, accreditation, number of enrolled students, and several other relevant factors.
This is a list of free online courses offered by Stanford University. They include;
$1. Organizational Analysis
$2. Design of Computer Programs
$3. How to Start a Startup
$4. Writing in the Sciences
$5. Convolutional Neural Networks
$6. Introduction to Computer Networking
$7. International Women’s Health and Human Rights
$8. Probabilistic Graphical Models 3: Learning
$9. Social and Economic Networks: Models and Analysis
$10. Intro to Statistics
$11. Statistical Learning
$12. Introduction to Artificial Intelligence
$13. Programming Max: Structuring Interactive Software for Digital Arts
$14. Understanding Einstein: The Special Theory of Relativity
$15. Principles of Computing
1. Organizational Analysis
In this introductory, self-paced course, you will learn multiple theories of organizational behavior and apply them to actual cases of organizational transformation.
Furthermore, we will use organizational theories to systematically analyze how an organization operates and can best be managed.
Organizational theories highlight certain features of an organization’s structure and environment, as well as its processes of negotiation, production, and change.
At the end of this course, you will become familiar with a series of real-world organizational phenomena; learn different theoretical perspectives that can elucidate these phenomena; and apply these different ways of “seeing” and managing organizations to cases
The eleven (11) week-long course kicks off on April 20. The language of instruction is English.
2. Design of Computer Programs
This course will teach you how to approach programming problems and devise a solution that is an essential skill for any Python developer. In this course, you’ll learn new concepts, patterns, and methods that will expand your coding abilities.
This self-paced course will last for eight (8) weeks. The language of instruction is English.
3. How to Start a Startup
This Self-Paced course is designed to be a sort of one-class business course for people who want to start businesses.
Videos of the lectures, associated reading materials, and assignments will all be available here. There will be 20 videos, some with moderators and a small panel. It’ll be 1,000 minutes of content if you watch it all.
In this free online course, you’ll learn the following;
- how to come up with ideas and evaluate them
- ways to get users and grow
- how to do sales and marketing
- best ways of hiring
- how to raise money company culture, operations and management, business strategy, and lots more.
I bet this is something you don’t want to miss.
4. Writing in the Sciences
This course teaches scientists how to be good and effective writers using practical examples and exercises.
Topics to be treated include;
- principles of good writing
- tricks for writing faster and with less anxiety
- the format of a scientific manuscript, and issues in publication and peer review.
Students from non-science disciplines can benefit from the training provided in the first four weeks (on general principles of effective writing).
This self-paced course is scheduled to last for eight (8) weeks.
5. Convolutional Neural Networks
This course will teach you how to build convolutional neural networks and apply them to image data.
At the end of this course you will;
- Understand how to build a convolutional neural network, including recent variations such as residual networks.
- Know how to apply convolutional networks to visual detection and recognition tasks.
- Be able to apply these algorithms to a variety of images, videos, and other 2D or 3D data.
- Know to use neural style transfer to generate art.
The four (4) week-long course is billed to start April 13. It is taught in English.
6. Introduction to Computer Networking
This is a self-paced introductory course on computer networking, particularly the Internet. It focuses on explaining how the Internet works, ranging from how bits are changed on wires and in wireless to application-level protocols like BitTorrent and HTTP. It also explains the principles of how to design networks and network protocols.
Students will gain experience reading and understanding RFCs (Internet protocol specifications) as statements of what a system should do. The course teaches many of the concepts in current practice and recent developments, such as net neutrality and DNS security.
7. International Women’s Health and Human Rights
This course focuses on women’s health and human rights issues from infancy through old age, including information about positive interventions relating to those issues. Learners are encouraged to interact with each other through interactive discussions.
The course lasts for ten (10) weeks and it is taught in English. It is scheduled to start on April 13.
8. Probabilistic Graphical Models 3: Learning
Probabilistic graphical models (PGMs) are a rich framework for encoding probability distributions over complex domains: joint (multivariate) distributions over large numbers of random variables that interact with each other.
These representations sit at the intersection of statistics and computer science, relying on concepts from probability theory, graph algorithms, machine learning, and more.
They are the basis for the state-of-the-art methods in a wide variety of applications, such as medical diagnosis, image understanding, speech recognition, natural language processing, and many, many more. They are also a foundational tool in formulating many machine learning problems.
This course discusses the question of learning: how a PGM can be learned from a data set of examples. It also discusses the key problems of parameter estimation in both directed and undirected models, as well as the structure learning task for directed models.
The free online course will last for five (5) weeks starting from April 20. English is the language of learning.
9. Social and Economic Networks: Models and Analysis
In this course, you’ll learn how to model social and economic networks and their impact on human behavior. How do networks form, why do they display certain patterns, and how do their structure impact diffusion, learning, and other behaviors.
Furthermore, you’ll learn models and techniques from economics, sociology, math, physics, statistics, and computer science to answer these questions.
The course begins with some empirical background on social and economic networks, and an overview of concepts used to describe and measure networks.
This 8 week-long course is scheduled to commence on April 20. English is the language of learning.
10. Intro to Statistics – 12+ Stanford University Free Online Courses With Certificates
Statistics is about obtaining meaning from data. In this class, you will learn techniques for visualizing relationships in data and systematic techniques for understanding the relationships using mathematics.
This course will cover visualization, probability, regression, and other topics that will help you learn the basic methods of understanding data with statistics.
This self-paced course is scheduled to last for eight (8) weeks.
#11. Statistical Learning
This is an introductory-level course in administered learning, with a focus on regression and classification methods.
In this course you’ll learn linear and polynomial regression, logistic regression and linear discriminant analysis; cross-validation and the bootstrap, model selection and regularization methods (ridge and lasso); nonlinear models, splines, and generalized additive models; tree-based methods, random forests, and boosting; support-vector machines. Some unsupervised learning methods are discussed: principal components and clustering (k-means and hierarchical).
This is a self-paced course scheduled to last for nine (9) weeks.
12. Introduction to Artificial Intelligence
Artificial Intelligence (AI) is a field that has a long history but is still constantly and actively growing and changing. In this course, you’ll learn the basics of modern AI as well as some of the representative applications of AI.
Along the way, we also hope to excite you about the numerous applications and huge possibilities in the field of AI, which continues to increase human capability beyond our imagination.
Also, you’ll learn the basics and applications of AI, including machine learning, probabilistic reasoning, robotics, computer vision, and natural language processing.
This self-paced course is scheduled to last for sixteen (16) weeks. You can start now.
13. Programming Max: Structuring Interactive Software for Digital Arts
Max is a powerful platform that accommodates and connects a wide variety of tools for sound, graphics, music, and interactivity using a flexible patching and programming environment.
Max allows most computer users to write a simple, meaningful program within a few minutes, even with limited programming knowledge.
In this class, the following will be covered;
- sound and movie playback
- algorithmic composition
- sound synthesis
- sound and video effects processing
- cross-modal mappings (e.g., video affecting audio and vice versa)
- interactive control (e.g., from QWERTY keyboard, mouse, USB devices, Open Sound Control)
This course will largely focus on the deep aspects: principles, concepts, techniques, and theory. If you understand these underlying aspects, your capacity to create in Max will deepen exponentially.
This is a self-paced course. Therefore, you can start anytime you feel like it.
14. Understanding Einstein: The Special Theory of Relativity
This course will be focused on the special theory of relativity that Albert Einstein, as a twenty-six-year-old patent clerk, introduced in his “miracle year” of 1905.
It will go behind the myth-making and beyond the popularized presentations of relativity in order to gain a deeper understanding of both Einstein the person and the concepts, predictions, and strange paradoxes of his theory.
In this course, the following questions will be answered;
- How did Einstein come up with his ideas?
- What was the nature of his genius?
- What is the meaning of relativity?
- What’s “special” about the special theory of relativity?
- Why did the theory initially seem to be dead on arrival?
- What does it mean to say that time is the “fourth dimension”?
- Can time actually run more slowly for one person than another, and the size of things change depending on their velocity?
- Is time travel possible, and if so, how?
- Why can’t things travel faster than the speed of light?
- Is it possible to travel to the center of the galaxy and return in one lifetime?
- Is there any evidence that definitively confirms the theory, or is it mainly speculation?
- Why didn’t Einstein win the Nobel Prize for the theory of relativity?
Summarily, there’s a whole lot to be learned in this course. Don’t be left out. This eight (8) week-long course will commence on April 27.
15. Principles of Computing
Principles of Computing teaches the essential ideas of Computer Science for a zero-prior-experience audience. Computers can appear very complex, but in reality, computers work within just a few, simple designs.
This course explains and brings those patterns to life, which is useful for anyone using computers today.
Participants play and experiment with short bits of “computer code” to bring to life the power and limitations of computers. Everything works within the browser, so there is no extra software to download or install.
The course also provides general background on computers today: what is a computer, what is hardware, what is software, what is the internet. No previous experience is required other than the ability to use a web browser.
This course is self-paced course.
NOTE: You’ll get satisfied and certified at the end of each of these free online courses. Don’t miss this opportunity.
10+ Stanford University Free Online Courses with Certificates in 2021
Can I get a free online on Coursera?
Yes, you can get a whole lot of free online courses on coursera.
Can I get a Job with Online Certification?
Yes! Online programs are accredited and recognized therefore their certifications are valued.
Does Stanford University offer free online courses?
Yes, Stanford University offers a whole lot of free online courses.
Are there any online courses for free?
Yes, there are actually a good number of free online courses on the web.
Can I put Online Courses on my Resume?
Yes. It is a good idea to put Relevant completed online courses on your resume, especially if you have a certificate for it. 12+ Stanford University Free Online Courses With Certificates.
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