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The Complete Tableau Bootcamp for Aspiring Data Scientists

Learn Tableau for Data Science from scratch, create rich visualization and share with others

Description

All tutorials are on the latest Tableau version 2020.3

Included advanced topics as well like Relationships, Level of detail (LOD) expressions, Parameters, Sets, Trend Lines, etc.

Included exciting features/Viz like emoji chart, play youtube video in a dashboard, animations, viz in tooltips, etc

This course is designed by considering the fact that you are an absolute beginner, and I will teach you even the most basic concepts in Tableau from scratch so that after completing this course you would be able to create rich visualizations easily and confidently.

What all the technical skills you will learn in this course:

Initial Setup

  • Software Installation (Tableau Desktop Public Edition, Tableau Desktop Professional Edition, Tableau Reader)

  • Creation of Tableau Public profile

  • Understand the different Tableau Products

  • Software Walkthrough (Tableau Desktop Public Edition, Tableau Desktop Professional Edition)

  • Publish the viz to Tableau Public

  • Download the files from Tableau Public

  • Extract the data source files from the published visualization in Tableau Public

Tableau Core Concepts

  • Connect to a Data Source

  • Data Types

  • Update the data types

  • Dimensions & Measures

  • Aggregation & Granularity

  • Discrete & Continuous fields

  • Discrete data parts & Continuous date values

  • Calculated Fields

  • Logical expressions

  • Ratio Calculations

  • Create Live & Extract Connections

  • Difference between Live & Extract Connections

  • Difference between twbx & twb file types

Tableau Fundamentals

  • Computed and Manual Sorting

  • Dimension & Measure filters

  • Date filters

  • Context filters

  • Organize data in Hierarchies

  • Reference & Trend Lines

  • Groups & Visual Groups

  • Sets

  • Parameters

  • Add custom shapes in Tableau

  • Animations

  • Add Visualization in Tooltip

  • Custom Dates

  • Table Calculations - Introduction

  • Table Calculations - Scope & Direction

  • Level of Details - Fixed, Include, Exclude

Chart Types

  • Bar Chart

  • Line Chart

  • Stacked Bar Chart

  • Symbol Maps

  • Filled Maps

  • Scatter Plot

  • Cross Tabs

  • Highlight Tables

  • Heat Maps

  • Histogram

  • Pie Chart

  • Word Cloud

  • Packed Bubbles

  • Tree Maps

  • Dual Axis

  • Lollipop Chart

Dashboard and Stories

  • Dashboard Introduction

  • Add Actions for interactivity

  • Dashboard Objects

  • Navigation between dashboards

  • Embed youtube URL in dashboards

  • Use google with Tableau

  • Create a story

  • Format a story

  • Storyboards vs dashboards

Data Preparation

  • Tableau's new Data Model

  • Relationships

  • Joins

  • Cross-database joins

  • Blends

  • Unions

  • When to use - Relationships, Blends, Joins

Who this course is for:

  • Anyone who wants to learn Tableau from scratch.
  • Already working on Tableau but want to learn concepts in a better way.

Goals

  • See the course description for all the technical topics we are covering in this course

  • Learn Tableau for Data Science step-by-step, 100% practical course

Prerequisites

  • Willingness to learn

  • No prior experience in Tableau is required

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Curriculum

  • Promo
    01:45
    Preview
  • What will be covered
    05:32
    Preview
  • How to approach this course & Udemy Review
    01:33
  • Tableau Introduction
    02:23
  • Different Tableau Products
    07:20
    Preview
  • Software Installation
    05:54
  • Software Walkthrough (Tableau Desktop Public Edition)
    08:09
    Preview
  • Download files from Tableau Public
    04:40
    Preview
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The Complete Tableau Bootcamp for Aspiring Data Scientists
This Course Includes
  • 8 hours
  • 86 Lectures
  • 31 Resources
  • Completion Certificate
  • Lifetime Access
  • 30-Days Money Back Guarantee

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