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Introduction to Statistics In this category
This category contains training sessions intended for neophytes in statistics. These sessions are also intended for people who have not used statistical methods for a long time and who wish to attend a refresher on fundamental statistical concepts and methods.
    Session Name+   Summary   Length (days) 
 Fundamental Tools in Statistics  Fundamental Tools in Statistics  This hands-on workshop offers an introduction to the fundamental principles and concepts in statistics.
The first part covers classical and more recent exploratory data analysis (EDA) techniques to describe data with numerical and graphical tools. The various uses of these methods like outlier detection is presented.
The second part addresses, with the help of real-life examples, the principles underlying statistical testing and decision-making in the presence of uncertainty. It covers risks involved (alpha and beta), p-values and statistical significance. The use and interpretation of confidence intervals is also discussed.
This course can serve as an introductory class or a refresher and provides a solid basis for all other courses.  		  1.0 
 Exploratory Data Analysis – Understanding Your Data through the Use of Graphics  Exploratory Data Analysis – Understanding Your Data through the Use of Graphics  We are awash in an ocean of information! Displaying and graphing are becoming a fundamental part of data analysis. Visualization is used in initial data inspection and exploration, model building and validation, as well as communicating results. Graphical techniques are thus central to the process of abstracting knowledge from information.
This one-day course will provide the practitioner/data analyst with the graphics and plotting procedures required to effectively explore data sets and to help reveal their underlying structure. 		  1.0 
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