If you are wondering what to do beyond stocking groceries and essentials, here are the courses you can follow to use next 21 days more productively. All you need is internet and willingness.
You can learn How to learn anything.
If you are willing to learn any subject but could not do it so far because of time constraints, now is the time to get out of that excuse. You can learn invaluable learning techniques used by experts in art, music, literature, math, science, sports, and many other disciplines. You can start with this course by Yale university to understand the brain uses two very different learning modes and how it encapsulates (“chunks”) information. This course also covers illusions of learning, memory techniques, dealing with procrastination, and best practices shown by research to be most effective in helping you master tough subjects. So to prepare yourself to be a life long learner, start here.
Discover ways to Increase your own happiness and build more productive habits:
In this free course, 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.
Interested in learning how to code?
Python is a great programming language and is recommended for anyone who just started coding. Additionally, python is one of the most sought after skill in the current job market. This course aims to teach everyone the basics of programming computers using Python. The course has no pre-requisites and avoids all but the simplest mathematics. Anyone with moderate computer experience should be able to master the materials in this course.
Want to improve your English?
This course is designed for non-native English speakers who are interested in advancing their careers in the global marketplace. This course will also give you the opportunity to explore your global career path, while building your vocabulary and improving your language skills to achieve your professional goals.
Want to know what Data Science is?
“Data Science” – The buzzword of the century. Anyone can be a data science professional. It is not for the elite or Phds. You just need a knack for numbers and must have loved doing number crunching at the high school level. The art of uncovering the insights and trends in data has been around since ancient times. The ancient Egyptians used census data to increase efficiency in tax collection and they accurately predicted the flooding of the Nile river every year. Since then, people working in data science have carved out a unique and distinct field for the work they do. This field is data science. In this course offered free by IBM , you will meet some data science practitioners and will get an overview of what data science is today.
And if you already know what data science is:
Learn AI. Artificial Intelligence has revolutionized the way people think,
learn, and work in various fields, from finance to healthcare and mobile
apps. What’s more interesting is that AI plays more role in our daily
lives than we can imagine. You can upgrade yourself and step up your IT skills. You can find free AI courses in course era. Here is one the best of all time. Machine Learning by Stanford University. And here is collection of all Data Science Courses. You can take them all for free.
A set life companions that you can keep and explore for rest of your learning life:
Edx: Access 2000 free online courses from 140 leading institutions worldwide. Gain new skills and earn a certificate of completion.
Khan Academy is a non-profit online platform providing a completely free library of educational “micro-lectures.”
Codecademy is dedicated to teaching people how to code—and it’s available for free
Don’t have time to read. You can listen while you are on the move. Discover the world of podcasts, tune in here.
How to Listen : You can listen on our website. Just click on each podcast links. On the move? download the app with below links: