Free short Webinar - Learn Data Science with XLSTAT: Exploring and Clustering data, Apr. 16, 2020

Data analysis tools can be grouped into several categories, each category aiming at answering a certain type of questions associated to a certain type of data. Exploratory statistics allow to summarize information contained in datasets of various volumes using dimension-reduction and segmentation features.

This is an elearning free session that lasts one hour. No need to step out of your office to attend!

The class includes a presentation as well as a 10-minute long Q&A session.

Exploring and clustering data - 1 hour

Data analysis tools can be grouped into several categories, each category aiming at answering a certain type of question associated to a certain type of data. Exploratory statistics allow to summarize information contained in wide datasets using dimension-reduction and segmentation features. Exploratory Statistics are commonly used in Unsupervised Machine Learning. This Webinar presents popular exploratory statistical features with applications using the XLSTAT statistical software.

Prerequisites

Basic knowledge in descriptive statistics (mean, median, scatter plots...)

Program

  • A few definitions: exploratory statistics, data mining, variable, individual
  • Reminder: describing two quantitative variables using a scatter plot
  • Expanding description on multivariate data: exploration and segmentation
  • Reducing dimensions with Principal Component Analysis (PCA)
  • Clustering data with Agglomerative Hierarchical Clustering (AHC)

参加費用

開催日

開始時間:

終了時間:

使用言語

英語

オンライン


講師プロフィール


Jean-Paul Maalouf

Jean-Paul Maalouf は、2014年からAddinsoftのシニア統計コンサルタントです。彼は生物学のPhD を保持し、2012年から統計学の指導に集中しており、かなりの経験を持ちます。彼のトレーニングの受講者には、フランスの主要な研究機関(INRA, CNRS, INSERM, CIRAD, 複数の大学)および世界中の民間企業が含まれます。 彼の指導法は、数学的というよりも統計ツールの概念的な説明に頼ります。必ずしも数学の経験を持たないユーザー、使用方法を素早く習得したいユーザーにとって、統計がとてもわかりやすくなります。 

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