Advanced Statistics for Data Science

Johns Hopkins University via Coursera Specialization

Coursera Specialization based on 261 ratings

Likes

Overview

The course “Advanced Statistics for Data Science” is designed to deepen learners’ understanding of statistical methods essential for sophisticated data analysis and interpretation in data science. Building on foundational statistics, this course covers advanced topics such as multivariate analysis, regression models, hypothesis testing, Bayesian inference, time series analysis, and experimental design. Participants will learn to apply these statistical techniques to complex datasets, enhancing their ability to uncover patterns, relationships, and insights critical for predictive modeling and decision-making. The course emphasizes...

Syllabus

Course 1: Mathematical Biostatistics Boot Camp 1- Offered by Johns Hopkins University. This class presents the fundamental probability and statistical concepts used in elementary data ... Enroll for free.Course 2: Mathematical Biostatistics Boot Camp 2- Offered by Johns Hopkins University. Learn fundamental concepts in data analysis and statistical inference, focusing on one and two ... Enroll for free.Course 3: Advanced Linear Models for Data Science 1: Least Squares- Offered by Johns Hopkins University. Welcome to the Advanced Linear Models for Data Science Class 1: Least Squares. This class is an ... Enroll for free.Course 4: Advanced Linear Models for Data Science 2: Statistical Linear Models- Offered by Johns Hopkins University. Welcome to the Advanced Linear Models for Data Science Class 2: Statistical Linear Models. This class ... Enroll for free.