Humboldt Data Science Statistical Methods and Python tools for Data Analyses

Class 1 Introduction

Introduction class

Basic information

In class we defined the basic course information:

  • Time of the class: 13h20 — 14h50
  • Time of the exercises: 12h20 — 13h05

The class will largely make use of Python.

Welcoming, via skype, of the students. Teachers introduced themseles:

  • Prof. Dr. Marek Kowalski: kowalski@physik.hu-berlin.de
  • Dr. Mickael Rigault: mrigault@physik.hu-berlin.de
  • Dr. Jakob Nordin: nordin@physik.hu-berlin.de

The basic information about the class has been settled:

  • Time of the class: 13h20 — 14h50
  • Time of the exercises: 12h20 — 13h05

First Statistical concepts:

Introduction of the concept of histograms, mode, mean, median, and variance.

Installing Python

See the anaconda web page and follow the instruction.


Reminder

Documents website

The slides of the class