This course provides a comprehensive introduction to statistics and probability theory, essential for data analysis, scientific research, and decision-making. Key topics include:

  • 📈 Data Collection & Analysis: Methods for gathering, organizing, and interpreting data.
  • 🔢 Descriptive Statistics: Measures of central tendency (mean, median, mode) and dispersion (variance, standard deviation).
  • 🎲 Probability Fundamentals: Basic principles like events, probabilities, and distributions.
  • 📐 Inferential Statistics: Hypothesis testing, confidence intervals, and regression analysis.

For deeper exploration, check our Statistics & Probability Resources section.

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Learn how to apply these concepts in real-world scenarios through our Data Science Course. 🚀