Probability & Statistics
Apply probability theory and statistical reasoning to data problems.
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After this skill you can…
- Calculate conditional probability and Bayes' theorem
- Interpret confidence intervals and p-values
- Apply common distributions (Gaussian, Bernoulli, Poisson)
Watch (10 videos)
Detecting Power Laws in Real-world Data | w/ Python Code
→ Apply statistical concepts to real-world data
Introduction to Probability: Student's T Distribution
→ Calculate the variance of the Student's T Distribution→ Determine the degrees of freedom for a given distribution→ Identify the differences between the Student's T Distribution and the normal distribution
Probability: Types of Distributions
→ Apply probability distributions to real-world problems→ Analyze data using statistical methods→ Understand AI safety concepts
Introduction to Probability and Data with R
→ Apply probability theory to data analysis→ Use R for data exploration and visualization
Learn Probability & Statistics with Interactive Simulations
→ Calculate conditional probability→ Understand random variables and their applications
R Tutorial: Flipping coins in R
→ Understand probability distributions→ Model real-world events with probability
R Tutorial: Monty Hall
→ Analyze game theory problems→ Understand probability distributions
Probability Foundations for Data Science and AI
→ Calculate probabilities for discrete and continuous events→ Apply the Central Limit Theorem to real-world problems
Probability and Statistics
→ Apply probability concepts to data analysis→ Calculate statistical measures
Random Processes
→ Analyze random processes→ Use statistics for engineering decision-making
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