- Sampling (Statistics)
- Data Science
- Descriptive Statistics
- Probability
- Probability Distribution
- Probability & Statistics
- Statistical Inference
- General Mathematics
- Statistical Analysis
- Statistics
Statistics for Data Science Essentials
Completed by Severine Busquet
August 11, 2024
19 hours (approximately)
Severine Busquet'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
