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Udemy

Tableau Desktop - A Complete Introduction

via Udemy

Overview

A Comprehensive Guide on Business Intelligence with Tableau Desktop to Prepare, Analyze and Visualize Data

What you'll learn:
  • Understand Tableau Desktop and use it in your own data analysis projects
  • Get to know Tableau Desktop and understand its position within the Tableau Platform
  • Learn and apply the core Tableau Desktop features for data preparation, analysis and visualization
  • Dive into a typical data analysis project workflow
  • Understand the data source segment of Tableau Desktop and connect Tableau Desktop to various source types
  • Build various visuals (line-chart, bar-chart, treemap, map, scatter plot and more)
  • Dive into calculated fields - Basic calculations, level of detail expressions & table calculations, all covered in the course
  • Understand the differences between groups and sets
  • Learn how to create and add parameters to filters and calculations
  • Create bin charts from scratch
  • Use data blending to establish relationships and to connect tables from different data sources
  • Understand how to create interactive dashboards and stories
  • Get the required knowledge to dive deeper into Tableau and into additional tools within the Tableau Platform

You want to get started with data analysis? You also want an easy-to-use, fast and intuitive tool to do so? You want to learn how to easily create your own dataset based on multiple source files? You want to create impressive and insightful visuals in no time?

Then TableauDesktop is the tool you were looking for! Take the chance and join this practical oriented course and learn all you need to easily take your first steps in your own data analysis projects!

Having worked as a business analyst in a major consultancy, I know the difficulties when learning a new technology. That's why I created this course, the Tableau course I wish I had when I did my first steps in Tableau!

NO prior Tableau or data analysis knowledge is required and while following along an interactive course project, we'll dive into Tableau Desktop's powerful features in a comprehensive course journey. Data preparation, data analysis, adding calculations, establishing relationships, dashboards and so much more - all covered in this course made for everyone but tailored for beginners!

This course goes beyond Tableau's simple drag-and-drop interface though. Tableau offers more than creating charts, so we'll dive into its core features along the entire data analysis project workflow from source file up to final dashboard!

Here's what's included in the course:

  • Get to know Tableau Desktop and understand its position within the Tableau Platform

  • Dive into a typical data analysis project workflow

  • Understand the data source segment of Tableau Desktop and connect TableauDesktop to various source types

  • Understand the differences between data preparation and data analysis & visualization

  • Dive into calculated fields - Basic calculations, level of detail expressions & table calculations, all covered in the course

  • Understand the differences between groups and sets

  • Learn how to create and add parameters to filters and calculations

  • Create bin charts from scratch

  • Use data blending to establish relationships and to connect tables from different data sources

  • Build various visuals (line-chart, bar-chart, treemap, map, scatter plot and more)

  • Understand how to create interactive dashboards and stories

  • And so much more!

This course is for you if...

  • ...never worked with Tableau Desktop before

  • ...heard about Tableau but you're not sure whether Tableau fits your project requirements

  • ...want to get started with data analysis with a hands-on business intelligence tool

  • ...want to understand the basic conceptsof a typical data analysis project workflow from data preparation over data analysis up to visualization

Course prerequisites:

  • Tableau is available for Windows (Windows 7 64bit or higher) or macOS

  • NO prior experience with other business intelligence tools is required

  • NO prior data analysis knowledge is required

Taught by

Academind by Maximilian Schwarzmüller and Manuel Lorenz

Reviews

4.6 rating at Udemy based on 315 ratings

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