- Data Analysis
- Descriptive Statistics
- Probability
- Probability & Statistics
- Probability Distribution
- Bayesian Statistics
- Statistical Inference
- Statistical Analysis
- Artificial Intelligence
Probability Foundations for Data Science and AI
Completed by Yueying Liang
March 4, 2024
42 hours (approximately)
Yueying Liang's account is verified. Coursera certifies their successful completion of Probability Foundations for Data Science and AI
What you will learn
Explain why probability is important to statistics and data science.
See the relationship between conditional and independent events in a statistical experiment.
Calculate the expectation and variance of several random variables and develop some intuition.
Skills you will gain
