What will I learn?
The online introductory probability course (in its free or paid mode), Introduction to Probability, offers a thorough introduction to the fundamental concepts of probability. It covers essential topics such as random variables, distributions, and expected values. You will gain a solid understanding of probability theory, equipping you with analytical tools essential for careers in data science, finance, engineering, and beyond.
Designed for students and professionals across diverse fields with a keen interest in probability. No prior knowledge of probability is required, although a basic understanding of mathematics is necessary. The course has a rigorous and didactic approach, which combines clear and simple explanations with examples and activities that will help you consolidate your learning. The course also offers you additional resources, such as readings, videos and links of interest, that you can consult to expand your knowledge and deepen the topics that interest you the most.
This course is available on the edX platform, one of the world’s most prestigious online education platforms, founded by MIT and Harvard University. It can be taken completely free of charge or for a small fee.
Contents of the online introductory probability course, Introduction to Probability
These are the contents of the course:
- Introduction to Probability: Learn the basic definitions and principles of probability, including events, sample spaces, and probability axioms, setting a strong foundation for further study.
- Random Variables and Distributions: Understand the concept of random variables, both discrete and continuous, and explore various probability distributions such as binomial, Poisson, and normal distributions.
- Expectation and Variance: Discover how to calculate and interpret the expected value and variance of random variables, crucial for understanding the behavior of data and risk.
- Joint Distributions and Independence: Delve into the relationships between multiple random variables, learning about joint distributions, conditional probabilities, and the concept of independence.
- Law of Large Numbers and Central Limit Theorem: Study the foundational theorems of probability that explain the long-term behavior of random phenomena and their applications in statistical inference.
Paid or free introductory probability course
The course has two modalities: free and paid. The free introductory probability course, allows you to access all the content of the course, including the videos, the readings, the exercises and the discussion forums.
The paid modality also offers you the possibility of obtaining a verified certificate from edX, which accredits your participation and approval of the course. This certificate can be of great value for your curriculum vitae, as it demonstrates your interest and competence in probability. In addition, by paying for the course, you will be contributing to Harvard University and edX being able to continue offering quality and accessible courses for everyone. If you want to know more about the cost and benefits of this modality, I invite you to visit the course page on edX, where you will find all the information you need.
In conclusion, the online introductory probability course (in its free or paid mode), Introduction to Probability, offers a solid grasp of probability that will serve as a valuable asset in your academic or professional career. Whether you’re looking to enhance your analytical skills or prepare for more advanced studies, this course offers a wealth of knowledge and practical applications. Take the leap and register today to unlock the power of probability!
