- Probability & Statistics
- General Statistics
- Mathematics
- Linear Algebra
- Regression
- Probability Distribution
- Bayesian Statistics
- Mathematical Theory & Analysis
Advanced Statistics for Data Science
Completed by KONARK KARNA
August 30, 2023
Approximately 1 months at 10 hours a week to completeKONARK KARNA's account is verified. Coursera certifies their successful completion of Johns Hopkins University Advanced Statistics for Data Science Specialization.
Course Certificates Completed
Mathematical Biostatistics Boot Camp 1
Mathematical Biostatistics Boot Camp 2
Advanced Linear Models for Data Science 1: Least Squares
Advanced Linear Models for Data Science 2: Statistical Linear Models
What you will learn
Learn about probability, expectations, conditional probabilities, distributions, confidence intervals, bootstrapping, binomial proportions, and more.
Understand the matrix algebra of linear regression models.
Learn about canonical examples of linear models to relate them to techniques that you may already be using.
Skills you will gain
Course Certificates
Earned after completing each course in the Specialization
Mathematical Biostatistics Boot Camp 1
Johns Hopkins University
Taught by: Brian Caffo, PhD
Completed by: KONARK KARNA by August 28, 2023
3-5 hours/week
Mathematical Biostatistics Boot Camp 2
Johns Hopkins University
Taught by: Brian Caffo, PhD
Completed by: KONARK KARNA by August 29, 2023
Advanced Linear Models for Data Science 1: Least Squares
Johns Hopkins University
Taught by: Brian Caffo, PhD
Completed by: KONARK KARNA by August 29, 2023
6 weeks of study, 1-2 hours/week
Advanced Linear Models for Data Science 2: Statistical Linear Models
Johns Hopkins University
Taught by: Brian Caffo, PhD
Completed by: KONARK KARNA by August 30, 2023
6 weeks of study, 1-2 hours/week