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鈥淪tatistics with Python Using NumPy, Pandas, and SciPy鈥� explores how to apply statistical and mathematical techniques to data science problems. Throughout the first half of the course, you鈥檒l work on reviewing vector dot products, interpreting text as vectors, and matrix multiplication. You鈥檒l also explore the basics of probability, laying the groundwork for statistical analysis. In the second half, you鈥檒l cover how to interpret data distributions, reason about probability, explore the special properties of normal distributions, understand linear relationships in data, and the connection between probability and uncertainty. This is the third course in the four-course series 鈥淒ata-Oriented Python Programming and Debugging,鈥� where you鈥檒l work to strengthen your programming capabilities and enhance your problem-solving skills.