Data analysis and visualization in Tableau Software

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Course Data analysis and visualization in Tableau Software enables students to utilize full potential of data through Tableau Software, where they will learn how to connect to various data sources (Excel, Relational Database, Big Data), create dashboards and share customer reports.

SUMMARY

In modern businesses data has become a new “black gold”. Data analysis and visualization are an indispensable way to get information for timely business decisions, from a huge amount of data. Traditional reporting systems have in the past proved to be inadequate in obtaining information, because they were hard to develop and owned by IT. Nowadays, available tools can easily enable business users to connect to data and make a report without the intervention of technical person. Also, employees who possess the skills of data analysis and visualization become more and more sought after in the labor market. Tableau Software is definitely one of the leaders (Gartner’s Magic Quadrant) in the field of data analysis and visualization, with the same mission for the last thirteen years: to allow the users to see their data. Course Data analysis and visualization in Tableau Software enables students to utilize full potential of data through Tableau Software, where they will learn how to connect to various data sources (Excel, Relational Database, Big Data), create dashboards and share customer reports.

After the education the student will learn how to:

  • Integrate and blend data from multiple sources of data
  • Use the best data visualization practices
  • Use storytelling in everyday business
  • Share analysis and visualization of data on the Tableau Server

Practical part of the analysis and visualization of data will be done in Tableau Desktop, a tool that has redefined the analytical market for the last five years, giving the end user the opportunity to analyze and visualize the data without advanced technical knowledge.

OBJECTIVES

The aim of the course is to teach students how to prepare data for data analysis and how to analyze and visualize data in an effective way using Tableau Software.

AUDIENCE

The course is intended for all those interested in analyzing and visualizing data in everyday work and wanting to learn the best practices of visualization and analysis of data in Tableau Software. The basics of computer work are a prerequisite for this education.

CONTENT

DAY 1. TABLEAU PREP

  • Introduction to Visual Analytics
  • Tableau Software Architecture
  • Introduction to Tableau Prep
  • Importing multiple data sources
  • Data profiling
  • Data join and union
  • Data Transformation
  • Aggregation of data
  • Exporting to different data formats
  • Practical examples and workshops

DAY 2. TABLEAU DESKTOP

  • Introduction to Tableau Desktop
  • Creating a data model from multiple sources of data
  • Metadata management
  • Interface overview
  • Creating simple visualizations
  • Filtering data
  • Creating groups, sets and drill down functionality
  • Making simple calculations
  • Creating functional dashboards
  • Practical examples and workshops

DAY 3. TABLEAU DESKTOP

  • Creating Advanced Calculations (Table, LOD)
  • Applying parameters
  • Advanced visualization
  • Advanced data formatting
  • Applying best practices for creating dashboards
  • Report Automation
  • Practical examples and workshops


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