Online course Fat Chance: Probability from the Ground Up

Fat Chance: Probability from the Ground Up
Free mode

Fat Chance: Probability from the Ground Up

Do you want to learn how to make sense of uncertainty and randomness in everyday life? Do you want to explore the fascinating and surprising world of probability? Then you should enroll in Fat Chance: Probability

What will I learn?

The online probability foundations course (in its free or paid mode), Fat Chance: Probability from the Ground Up, shows you how to use probability theory to understand and analyze various phenomena and situations, such as games, sports, elections, health, genetics, and more. It provides learners with a comprehensive understanding of probability concepts and their practical implications. You will learn how to calculate and interpret probabilities, how to use probability models and simulations, and how to apply probability theory to real-world problems and data.

This course is designed for anyone who wants to learn the essential concepts and skills of probability theory, from high school to college level. Whether you’re a student, a professional, or simply curious about probability, this course offers valuable insights and knowledge that can benefit you in numerous ways. No prior knowledge of probability is required. 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 probability foundations course, Fat Chance: Probability from the Ground Up

These are the contents of the course:

  1. Probability fundamentals: how to use the language and notation of probability, how to use the rules and formulas of probability, and how to use Venn diagrams and tree diagrams to visualize probabilities.
  2. Probability models: how to use discrete and continuous probability models, such as the uniform, binomial, geometric, and normal models, and how to use the mean, variance, and standard deviation to describe and compare probability models.
  3. Probability simulations: how to use random numbers and computer simulations to generate and test probability models, and how to use Monte Carlo methods to estimate probabilities and solve problems.
  4. Probability applications: how to use probability theory to analyze and interpret various phenomena and situations, such as gambling, sports, elections, health, genetics, and more, and how to use probability theory to make informed decisions and predictions.

Paid or free probability foundations course

The course has two modalities: free and paid. The free probability foundations 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 and statistics. 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 probability foundations course (in its free or paid mode), Fat Chance: Probability from the Ground Up, will equip you with the mathematical knowledge and skills to deep your understanding of probability and its applications in data science. Don’t miss this opportunity and enroll today!

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