**Books**

This section contains a list of books about Statistics, Data Science, etc. that I enjoyed reading. If you don’t like affiliate links you can also copy and paste the title to search for yourself.

Title | Author | Category | Comments | Cover & Link |

Mathematical Statistics for Economics and Business | Ron C. Mittelhammer | Statistics | Lots of math and pages but the reward for working through this beast is a solid foundation of statistical theory. | |

Bayesian Data Analysis | Andrew Gelman et al. | Statistics | One of the most prominent books on Bayesian Statistics. Very entertaining despite some math heavy passages. | |

Quantum Computing - A gentle introduction | Eleanor G. Rieffel and Wolfgang H. Polak | Programming | As the title promises the content is indeed a gentle introduction and not too complicated to understand for non-physicists. | |

Time Series Analysis | James D. Hamilton | Statistics | The classic book for time series analysis. Many formulas but it covers all the basics. | |

Nonlinear Time Series Analysis | Holger Kantz and Thomas Schreiber | Statistics | A good introduction to non-linear time-series analysis. Not too many formulas but lots of useful concepts. | |

Chaos and Time-Series Analysis | Julien Clinton Sprott | Statistics | Another good read about non-linear time series. Stresses the concept of chaotic behavior. | |

The Misbehavior of Markets: A Fractal View on Financial Turbulence | Benoit Mandelbrot and Richard L. Hudson | Other | A classic written by the father of fractal geometry. Almost no math. | |