SQL for Exploratory Data Analysis Essential Training

SQL for Exploratory Data Analysis Essential Training

with Dan Sullivan
Electronic Video - 2018

Learn how to use SQL to understand the characteristics of data sets destined for data science and machine learning.

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Détails bibliographiques
Collectivité auteur: linkedin.com (Firm)
Autres auteurs: Sullivan, Dan (Intervenant)
Format: Électronique Vidéo
Langue:English
Publié: Carpenteria, CA linkedin.com, 2018.
Sujets:
Accès en ligne:View course details on linkedin.com/learning

MARC

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520 |a Learn how to use SQL to understand the characteristics of data sets destined for data science and machine learning. 
511 1 |a Presenter: Dan Sullivan 
520 |a Learn how to use SQL to understand the characteristics of data sets destined for data science and machine learning. The course begins with an introduction to exploratory data analysis and how it differs from hypothesis-driven statistical analysis. Instructor Dan Sullivan explains how SQL queries and statistical calculations, and visualization tools like Excel and R, can help you verify data quality and avoid incorrect assumptions. Next, find out how to perform data-quality checks, reveal and recover missing values, and check business logic. Discover how to use box plots to understand non-normal distribution of data and use histograms to understand the frequency of data values in particular attributes. Dan also explains how to use the chi square test to understand dependencies and measure correlations between attributes. The course concludes with a collection of tips and best practices for exploratory data analysis. 
538 |a Latest version of the following browsers: Chrome, Safari, Firefox, or Internet Explorer. Adobe Flash Player Plugin. JavaScript and cookies must be enabled. A broadband Internet connection. 
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655 4 |a Educational films.  |2 lcgft 
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092 |a ONLINE CLASS