Probability for improved business decisions: Introduction, Combinatorics, Bayesian Inference, Distributions

Probability for Statistics and Data Science

Name: Probability distributions through visual animation
Rating: 6.4

Instructor365 Careers

Duration3h 40m

Students14.4K

Rating4.5 (1,243)

Probability distributions through visual animation

Strengths

Extensive distribution coverage

The curriculum covers a wide array of statistical distributions, including Uniform, Bernoulli, Binomial, Poisson, Normal, Student's T, Chi-Squared, Exponential, and Logistic.

Best suited to

Beginners seeking an introduction to probability
Learned interested in visual/animated explanations
Business analysts needing a probabilistic mindset

Less suited to

Advanced students requiring mathematical rigor
Learners seeking deep case-study applications

Editorial course preview

What the public course preview actually shows

These 3 complementary views highlight concrete, legible examples from the course presentation.

A man in a blue plaid shirt stands next to a three-tiered pyramid diagram labeled Data Science, Statistics, and Probability. — Preview 1 of 3
An instructor presents a visual hierarchy showing how probability forms the foundation for statistics and data science.

A man in a blue plaid shirt stands next to a list of bullet points reading Practical Examples, Key Concepts, and Bayesian Probability. — Preview 2 of 3
An instructor presents a slide outlining key course topics including practical examples, fundamental concepts, and an introduction to Bayesian probability.

Preview 3 of 3

An instructor presents a slide titled 'Necessary Preparation for Advanced Statistics, ML and DL,' highlighting the foundational role of this course in data science education.