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 Tableau Desktop 2020 - A Complete Introduction

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MensajeTema: Tableau Desktop 2020 - A Complete Introduction   Tableau Desktop 2020 - A Complete  Introduction EmptyDom Oct 04, 2020 10:57 am

Tableau Desktop 2020 - A Complete  Introduction 38fb86c118e359e4d3a152ee20f76958

Tableau Desktop 2020 - A Complete Introduction
Video: .mp4 (1280x720, 30 fps(r)) | Audio: aac, 48000 Hz, 2ch | Size: 2.91 GB
Genre: eLearning Video | Duration: 106 lectures (10 hour, 24 mins) | Language: English
A Comprehensive Guide on Business Intelligence with Tableau Desktop 2019+ 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 Description 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

Requirements

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

Description

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 Tableau Desktop 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 Tableau Desktop 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 Description 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 concepts of 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

Who this course is for:

Complete data analysis and business intelligence beginners who want to start their career in these fields
Tableau beginners with some data analysis experience who want to explore the tool
Students with prior experience with other data analysis tools who want to broaden their horizon
Download link:
Citación :
rapidgator_net:
https://rapidgator.net/file/8778fb4e96eb4fd1db3d7331eea3d1a7/temye.Tableau.Desktop.2020..A.Complete.Introduction.part1.rar.html
https://rapidgator.net/file/d9e678a5d62fb0e469815a1cadf66e94/temye.Tableau.Desktop.2020..A.Complete.Introduction.part2.rar.html
https://rapidgator.net/file/71f57176864ad7d87614f901b32a6629/temye.Tableau.Desktop.2020..A.Complete.Introduction.part3.rar.html

nitroflare_com:
https://nitroflare.com/view/417D2E071F608F1/temye.Tableau.Desktop.2020..A.Complete.Introduction.part1.rar
https://nitroflare.com/view/7056F28EB20DF21/temye.Tableau.Desktop.2020..A.Complete.Introduction.part2.rar
https://nitroflare.com/view/C224F1B00465D8C/temye.Tableau.Desktop.2020..A.Complete.Introduction.part3.rar

uploadgig_com:
https://uploadgig.com/file/download/5251c531182dE66d/temye.Tableau.Desktop.2020..A.Complete.Introduction.part1.rar
https://uploadgig.com/file/download/E81f529587d29a81/temye.Tableau.Desktop.2020..A.Complete.Introduction.part2.rar
https://uploadgig.com/file/download/553096a8879047Cc/temye.Tableau.Desktop.2020..A.Complete.Introduction.part3.rar

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