Course #:TP2847

Exploratory Data Analysis Using Tableau Training

Exploratory Data Analysis (EDA) is an approach to data analysis that creates an understanding of the important characteristics of a data set.  As such, it is a critical first step in any decision making process.  The purpose of this course is to provide a systematic method for looking at data and extracting the patterns that are contained in the data. To do that, participants will learn an approach and a set of methods that can accommodate a wide variety of data.

Objectives

Upon completion of this course you will be able to:

  • Detect mistakes within the data;
  • Validate assumptions;
  • Determine relationships among the explanatory variables; and,
  • Assess the relationships between explanatory and outcome variables.

Audience

  • Business Analyst (IT and non-IT)
  • Data Quality Analyst
  • Project Leaders
  • Systems Analyst
  • Data Analyst

Prerequisites

The structure of the courses assumes no prior experience in statistics or data analytics.  It does assume basic knowledge of how to use Tableau.

Duration:

1 day

Outline of Exploratory Data Analysis Using Tableau Training

  • Data Analytics
    • Defining the Analytic Question
      • Making it Measureable
    • Planning the Analysis
      • Identifying Useful Variables
    • Collecting and Managing Data
      • Integration
    • Conducting the Analysis
      • Exploratory Analysis
      • Five Number Summary
      • Outliers
      • Missing Data
      • Reducing the Number of Variables
      • Correlations
    • Making Recommendations Based on Data
    • Deploying and Monitoring Recommendations
We regularly offer classes in these and other cities. Atlanta, Austin, Baltimore, Calgary, Chicago, Cleveland, Dallas, Denver, Detroit, Houston, Jacksonville, Miami, Montreal, New York City, Orlando, Ottawa, Philadelphia, Phoenix, Pittsburgh, Seattle, Toronto, Vancouver, Washington DC.