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Stats Smart: Probability & Predictions

< Level: Intermediate >

Statistics & Probability

Welcome to “Stats Smart: Probability & Predictions,” a course designed to make you the master of the statistics and probability universe. These are the twin forces driving predictive AI, enabling us to predict, infer, and forecast with confidence. In this intermediate-level course, we take you from the fundamentals of statistics and probability to their application in data science and AI.

Chapter Breakdown

  • Chapter 1 – Breaking Down Statistics & Probability: Get to know what statistics & probability mean, their interconnection, and importance in data analysis and AI.
  • Chapter 2 – Descriptive Statistics: Dive into the basics of descriptive statistics, covering Mean, Median, Mode, Range, and Variance.
  • Chapter 3 – Data Distributions: Understand different types of data distributions including Normal, Binomial and Poisson distributions.
  • Chapter 4 – Correlation and Covariance: Learn about the relationship and co-dependence between variables.
  • Chapter 5 & 6 – Probability Basics: Explore the fundamentals, rules of probability, and important concepts like dependent and independent events.
  • Chapter 7 – Conditional Probability: Learn about conditional probability and its importance in statistical inference.
  • Chapter 8 – Bayes’ Theorem: Get introduced to Bayes’ Theorem – a principle at the heart of Machine Learning and AI.
  • Chapter 9 & 10 – Hypothesis Testing: Understand the process of hypothesis testing with concepts like Null Hypothesis, P-Value, and Confidence Intervals.
  • Chapter 11 – Regression Analysis: Dive deep into regression analysis and understand its crucial role in predictive modeling.
  • Chapter 12 – Introduction to Predictive Modeling: Learn the foundations of predictive modeling, concept of training and testing data in ML models.
  • Chapter 13 – Applications of Statistics & Probability in real-life problems: Understand how statistics and probability shape decision-making in sectors like healthcare, finance, and of course, AI.

By the end of this course, you’ll be applying the principles of statistics and probability to real-world problems, correlating data, and predicting outcomes. Strap in for a statistically significant ride!