What are the fundamental concepts in statistics and probability that are crucial for data science?

Key Statistical Concepts for Data Science: Descriptive statistics: Summarizing and describing data (e.g., mean, median, standard deviation). Probability: Understanding the likelihood of events (e.g., probability distributions, random variables). Inferential statistics: Making inferences about populations from sample data (e.g., hypothesis testing, confidence intervals). Machine learning: Applying statistical techniques to build predictive models. To learn more and gain practical skills, consider enrolling in a data science course. Visit: https://uncodemy.com/course/data...