Felhívások

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CfP: Challenges, conflicts and opportunities. 100 years of state- and nationhood in Central and Eastern Europe

November 15-17, 2018, Cluj-Napoca (Kolozsvár, Klausenburg), Romania

A century has passed since the end of WWI, which brought about the disintegration of the major European multi-ethnic empires and the formation of smaller nation-states in Central and Eastern Europe.

ALAPKÉPZÉS

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CfP: Special Issue

The journal Social Sciences (ISSN 2076-0760) is currently running a Special Issue entitled WORK-FAMILY BALANCE AND GENDER (IN)EQUALITIES IN EUROPE: POLICIES, PROCESSES AND PRACTICES.

MAGISZTERI

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CfP: Special Issue

The journal Social Sciences (ISSN 2076-0760) is currently running a Special Issue entitled WORK-FAMILY BALANCE AND GENDER (IN)EQUALITIES IN EUROPE: POLICIES, PROCESSES AND PRACTICES.

Phd / DLA

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CfP: Special Issue

The journal Social Sciences (ISSN 2076-0760) is currently running a Special Issue entitled WORK-FAMILY BALANCE AND GENDER (IN)EQUALITIES IN EUROPE: POLICIES, PROCESSES AND PRACTICES.

POSZTDOKTORI

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Domus nemzetközi konferencia-részvétel pályázat 2018.


Az Akadémia Domus programja támogatni kívánja a külföldi kutatók szakmai munkásságát, nemzetközi szakmai beágyazottságát azzal, hogy idegen nyelvű előadások megtartásának támogatásával segíti aktív bekapcsolódásukat a nemzetközi tudományos életbe.

FIATAL KUTATÓI

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CfP: Special Issue

The journal Social Sciences (ISSN 2076-0760) is currently running a Special Issue entitled WORK-FAMILY BALANCE AND GENDER (IN)EQUALITIES IN EUROPE: POLICIES, PROCESSES AND PRACTICES.

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KÉPZÉSI SZINT
Alapképzés
Magiszteri
PhD / DLA
Posztdoktori
Fiatal kutatói
Oktatói
Kutatói
Doktorjelölt
Frissen végzett
TUDOMÁNYTERÜLET
FELHÍVÁS TÍPUSA
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Megszüntet

Statistical Thinking in Python - Course


Prior to diving in headlong into sophisticated statistical inference techniques, you should first explore your data by plotting them and computing simple summary statistics.

Course Description

After all of the hard work of acquiring data and getting them into a form you can work with, you ultimately want to make clear, succinct conclusions from them. This crucial last step of a data analysis pipeline hinges on the principles of statistical inference.

In this course, you will start building the foundation you need to think statistically, to speak the language of your data, to understand what they are telling you.
The foundations of statistical thinking took decades upon decades to build, but they can be grasped much faster today with the help of computers. With the power of Python-based tools, you will rapidly get up to speed and begin thinking statistically by the end of this course.

Graphical exploratory data analysis

Look before you leap! A very important proverb, indeed. Prior to diving in headlong into sophisticated statistical inference techniques, you should first explore your data by plotting them and computing simple summary statistics. This process, called exploratory data analysis, is a crucial first step in statistical analysis of data. So it is a fitting subject for the first chapter of Statistical Thinking in Python.

Further information are available on the webpage.

(forrás: www.datacamp.com)

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