- Descriptive Statistics
- Statistical Inference
- General Mathematics
- Probability Distribution
- Statistics
- Statistical Analysis
- Sampling (Statistics)
- Probability & Statistics
- Probability
- Data Science
Statistics for Data Science Essentials
Completed by Allison Molitor
July 23, 2024
19 hours (approximately)
Allison Molitor's account is verified. Coursera certifies their successful completion of Statistics for Data Science Essentials
What you will learn
Comprehensively review probability and understand its role as a building block of data science.
Apply the central limit theorem, confidence intervals and the method of maximum likelihood to solving data science problems.
Skills you will gain
