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Probability theory is an essential theory for the data scientist. It is the theory of analysing and making statements concerning the probability of the occurrence of uncertain events.

The [course_title] course teaches you the essential aspects of Probability theory.  The course got its inspiration from the financial crisis of 2007-2008. The course will look at the reasons and cause of the crisis. Focuses will be given on random variables, independence, Monte Carlo simulations, expected values, standard errors, and the Central Limit Theorem.

### Assessment

This course does not involve any written exams. Students need to answer 5 assignment questions to complete the course, the answers will be in the form of written work in pdf or word. Students can write the answers in their own time. Each answer needs to be 200 words (1 Page). Once the answers are submitted, the tutor will check and assess the work.

### Certification

Edukite courses are free to study. To successfully complete a course you must submit all the assignment of the course as part of the assessment. Upon successful completion of a course, you can choose to make your achievement formal by obtaining your Certificate at a cost of £49.

Having an Official Edukite Certification is a great way to celebrate and share your success. You can:

• Show it to prove your success

Course Credit: Harvard University

### Course Curriculum

 Module: 01 Introduction to Probability 00:04:00 Discrete Probability 00:02:00 Monte Carlo Simulations 00:04:00 Probability Distributions 00:03:00 Independence 00:06:00 Combinations and Permutations 00:08:00 The Birthday Problem 00:02:00 sapply 00:05:00 How many Monte Carlo experiments are enough? 00:02:00 Module: 02 The Addition Rule 00:02:00 The Monty Hall Problem 00:04:00 Continuous Probability 00:03:00 Theoretical Distribution 00:05:00 Probability Density 00:02:00 Monte Carlo Simulations 00:02:00 Other Continuous Distributions 00:02:00 Random Variables 00:01:00 Sampling Models 00:08:00 Module: 03 Distributions versus Probability Distributions 00:02:00 Notation for Random Variables 00:01:00 Central Limit Theorem 00:07:00 Averages and Proportions 00:03:00 Law of Large Numbers 00:02:00 How Large is Large in CLT? 00:01:00 The Big Short: Interest Rates Explained 00:07:00 The Big Short 00:05:00 Assessment Submit Your Assignment 00:00:00 Certification 00:00:00

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