Probability
Data science is based on statistics and statistics steps on the foundations laid by probability. This course will help you master the probability theory necessary to think like a data scientist. You will learn about expected values, combinatorics, Bayesian notation as well as probability distributions.
Your Instructor
We create online on-demand video courses in data science. The 365 Data Science Program is comprised of different modules starting from the fundamentals (Mathematics, Probability, and Statistics), going through programming languages (Python, R, SQL) and finishing off with state-of-the-art machine and deep learning.
We have a team of experts that create the curriculum and the course content, who work closely with our talented designers to bring the concepts to life in the most engaging and understandable way using specialized animation software. We strive to make the learning experience not only all-inclusive, detailed, and thorough, but also interactive, practical, and fun.
Course Curriculum
The Basics of Probability
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Combinatorics
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StartFundamentals of Combinatorics (1:04)
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StartComputing Permutations (3:21)
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StartSolving Factorials (3:35)
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StartComputing Variations with Repetition (2:59)
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StartComputing Variations without Repetition (3:48)
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StartComputing Combinations (4:51)
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StartSymmetry of Combinations (3:26)
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StartCombinations with Separate Sample Spaces (2:52)
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StartWinning the Lottery (3:12)
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StartA Summary of Combinatorics (2:55)
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StartCombinatorics: Practical Example (10:53)
Bayesian Inference
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after you enroll
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StartSets and Events (4:28)
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StartThe Different Ways Events Can Interact (3:45)
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StartThe Intersection of Two Sets (2:06)
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StartThe Union of Two Sets (4:51)
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StartMutually Exclusive Sets (2:09)
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StartDependent and Independent Events (3:01)
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StartConditional Probability (4:16)
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StartLaw of Total Probability (3:03)
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StartAdditive Law (2:21)
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StartMultiplication Rule (4:05)
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StartBayes Rule (5:44)
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StartBayesian: Practical Example (14:52)