Description:

Build a strong foundation in probability and statistics, learning to analyze data, quantify uncertainty, and make informed decisions. Explore essential concepts, methods, and real-world applications.

Key Highlights:

• Understand probability rules and random variables
• Summarize and visualize data using descriptive statistics
• Apply probability distributions to practical problems
• Use sampling and estimation to draw conclusions
• Test hypotheses and interpret statistical results
• Explore correlation, regression, and data relationships

What you will learn:

• Descriptive Statistics
  Organize, summarize, and communicate data using measures of center, spread, and visualizations.
• Probability Fundamentals
  Calculate probabilities using events, conditional probability, independence, and Bayes’ theorem.
• Random Variables and Distributions
  Model uncertain outcomes and work with common discrete and continuous probability distributions.
• Sampling and Estimation
  Understand sampling methods, sampling distributions, confidence intervals, and estimation.
• Hypothesis Testing
  Formulate and evaluate statistical claims, interpret p-values, and assess practical significance.
• Correlation and Regression
  Measure relationships between variables and use regression to analyze and predict outcomes.