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Probability & Statistics

Overview

Probability & Statistics underpins the process by which uncertainty can be quantified. The core concepts of statistics are applicable across a wide range of discliplines from data science, bioinformatics and even physics (mechanics, etc). Statistics is also crucial for research and experiments as it provides confidence in outcomes of the project and defines research design.

Prerequisites

  • No prerequisites for basic probability & statistics
  • For advanced statistics the following are required prerequisites:

Textbooks

Title Author(s) Edition
Probability & Statistics for Engineering and the Sciences Jay L Devore
Foundations of Agnostic Statistics Aronow, Miller
Modern Mathematical Statistics Devore, Berk, Carlton
Statistics Done Wrong - The Woefully Complete Guide Alex Reinhart
Think Stats Allen B Downey
How to Lie with Statistics Darrel, Irving
Essentials of Statistics Mario F Triola
Elementary Statistics Mario F Triola
Statistics in Plain English Timothy Urdan
The Cartoon Guide to Statistics Smith, Gonick, Larry
The Signal & The Noise: Why so many Predictions Fail Nate Silver
Philosophy of Statistics Elseiver BV
The Art of Statistics Spiegelhalter
Statistics without Tears Rowntree
The Statistical Sleuth Ramsey, Schafer 3rd
The Statistical Sleuth Solutions Manual Ramsey, Schafer 3rd
Manga Guide to Statistics Takahashi
Prob 140, Probability for Data Science Ani Adhikari, Jim Pitman
Stat 88, Probability & Mathematical Statistics for Data Science Ani Adhikari

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