Probability and Statistics for Data Science: Math + R + Data
Carlos Fernandez-Granda
Rigorous treatment of probability and statistics tailored for data science from NYU Courant Institute. Covers probability, estimation, hypothesis testing, linear regression, and PCA with R implementation.
Loading the book...
Keep reading
-
Next in this topic
PSYC 2200: Elementary Statistics for the Behavioral and Social SciencesOER textbook for behavioral and social sciences covering descriptive statistics, probability, hypothesis testing, t-tests, ANOVA, correlation, regression, and chi-square. Practical examples from psychology.
Verified PDF · Secure download - An Introduction to the Science of Statistics: From Theory to Implementation
Bridges theory and implementation with topics from data display through hypothesis testing and ANOVA. Includes R-based exercises and covers regression, chi-squared tests, and nonparametric methods.
Verified PDF · Secure download - OpenIntro Statistics - 4th Edition
Widely adopted open-source statistics textbook covering data collection, probability, distributions, inference, and regression. Includes real-world datasets, exercises, and labs with R integration.
Verified PDF · Secure download - Mostly Harmless Elementary Statistics
Modern elementary statistics textbook covering data organization, descriptive statistics, probability, distributions, Central Limit Theorem, confidence intervals, hypothesis testing, chi-square, and regression.
Verified PDF · Secure download - Introduction to Statistics in the Psychological Sciences
Multi-university OER textbook for psychology students covering central tendency, variability, z-scores, probability, hypothesis testing, t-tests, ANOVA, correlation, regression, and chi-square.
Verified PDF · Secure download
