Data Science: Probability

Course Feature

Cost

Free
Provider

Edx
Certificate

Paid Certification
Language

English
Start Date

19th Apr, 2023
Learners

No Information
Duration

2.00
Instructor

Rafael Irizarry

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3.5

1,040 Ratings

This course introduces the fundamentals of probability theory and its application to data science. Learn how to use random variables, independence, Monte Carlo simulations, expected values, standard errors, and the Central Limit Theorem to analyze data affected by chance. Gain the skills to conduct statistical tests and understand the risk of securities sold by financial institutions. This course is essential for data scientists and online learners.

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Course Overview

❗The content presented here is sourced directly from Edx platform. For comprehensive course details, including enrollment information, simply click on the 'Go to class' link on our website.

Updated in [May 25th, 2023]

What skills and knowledge will you acquire during this course?
The course "Data Science: Probability" will provide you with valuable skills and knowledge in probability theory. The course aims to address the circumstances surrounding the financial crisis of 2007-2008, where the underestimation of risk in certain securities led to the crisis. To comprehend this complex event, it is necessary to grasp the basics of probability. The course will cover important concepts such as random variables, independence, Monte Carlo simulations, expected values, standard errors, and the Central Limit Theorem. These statistical concepts are crucial for conducting statistical tests on data and determining whether the observed data is likely due to an experimental method or chance.

How does this course contribute to professional growth?
The course "Data Science: Probability" contributes to professional growth by providing valuable concepts in probability theory. The course aims to address the circumstances surrounding the financial crisis of 2007-2008, where the underestimation of risk in securities sold by financial institutions played a significant role. To comprehend this complex event, a foundational understanding of probability is necessary. The course covers essential concepts such as random variables, independence, Monte Carlo simulations, expected values, standard errors, and the Central Limit Theorem. These statistical concepts are crucial for conducting statistical tests on data and determining whether the observed data is likely due to an experimental method or chance. Probability theory serves as the mathematical basis for statistical inference, which is indispensable for analyzing data influenced by chance, making it essential for data scientists.

Is this course suitable for preparing further education?
The course "Data Science: Probability" is suitable for preparing further education.

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