This course is part of Data-Oriented Python Programming and Debugging Specialization
Instructors: Elle O'Brien +2 more
What you'll learn
Skills you'll gain
There are 4 modules in this course
Throughout the first half of the course, you’ll work on reviewing vector dot products, interpreting text as vectors, and matrix multiplication. You’ll also explore the basics of probability, laying the groundwork for statistical analysis. In the second half, you’ll 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 “Data-Oriented Python Programming and Debugging,” where you’ll work to strengthen your programming capabilities and enhance your problem-solving skills.
Understanding and Visualizing Data Distributions
Understanding and Analyzing Data Distribution Characteristics
Sampling Methods and Statistical Inference
©2025 ementorhub.com. All rights reserved