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Tableau Course For Beginner
Rating: 4.4 out of 5(30 ratings)
2,970 students

Tableau Course For Beginner

Tableau Desktop Specialist
Last updated 6/2023
English
English [Auto],

What you'll learn

  • Basics of Tableau
  • Familiar with Tableau
  • Tableau Interface
  • Charts

Course content

3 sections49 lectures4h 31m total length
  • Introduction9:51

    Explore Tableau basics by connecting to an Excel data source, using dimensions and measures on rows and columns, and creating sheets, dashboards, and stories.

  • Download1:50

    Start a free Tableau trial by filling in your name and business email, then activate via email. Log in with your email and password to download the free trial.

  • Install1:13

    Install Tableau Desktop by double-clicking the installer, accept the license agreement, and grant permission to modify your device; it includes a two-week free trial before purchase.

  • Connect with Database0:50

    Connect to a database in Tableau by creating a new data source and selecting Excel. Drag the orders table to view data; live and extract connections will be covered next.

  • Tableau Live & Extract1:51

    Compare live and extract connections in Tableau using an Excel data source; a live link updates with database changes, while an extract copy stays static for historical data.

  • View tables2:44

    View tables in Tableau by loading an Excel data source, inspecting orders, returns, and users, and filtering top rows while viewing fields such as status, order ID, manager, and reason.

  • Data Types2:16

    Identify data types in Tableau: numbers (integer and decimal), date and time, string, boolean, and geographical, with notes on negative values, date-only, and text handling.

  • Tableau Work Sheet Interface6:03

    Master the Tableau worksheet interface, including shelves, marks, and the data pane; connect to Excel, drag dimensions and measures, and build tables, charts, and dashboards.

  • Data Types Symbol10:08

    Explore Tableau data types and symbols, including hash for numbers, string types shown as letters, date with calendar symbol, decimal and boolean indicators, and geographical roles.

  • Adding new Sheet1:44

    Add a new sheet in Tableau by clicking the plus sign. Navigate the workbook workspace with dimensions, measures, shelves, and the page shelf to visualize data as tables or charts.

  • Product Category & Sales2:13

    Visualize sales and profit in Tableau by dragging product category, reason, and subcategory into columns, using dimensions and measures to explore profit and sales in the workspace.

  • Dimension & Meausures2:50

    Learn how dimensions are the non-measurable fields in a table, such as city and order date, while measures are numeric fields like profit and sales, demonstrated with Tableau orders data.

  • Grouping5:26

    Master grouping in Tableau by dividing a dimension into group A and group B using drag-and-drop, right-click to group, rename groups, and apply or delete changes as needed.

  • Granularity6:57

    Explore granularity by dividing data into chunks, illustrated with pizza slices and Tableau sales analysis. Learn to use dimensions and subcategories to reveal grand totals and insights.

  • Table into chart form4:39

    Convert a table to a bar chart in Tableau by placing the product subcategory in rows, dragging sales to marks and columns, then apply ascending or descending sorts.

  • Filtering9:29

    Learn to build filters in Tableau by product subcategory, using include, exclude, custom value lists, and wildcards, and apply conditions on sales to refine results.

  • Date Filter12:55

    Master date filtering in Tableau by selecting year, month, and day with show filters, context filters, and dependent filters to refine sales data.

Requirements

  • Students should be Intermediate or undergraduates or graduates and should have basic understanding of mathematics.

Description

WHO'S THIS FOR?

This course is designed specifically for freshers and absolute beginners only.


Tableau is a leading data visualization tool used for data analysis and business intelligence. Gartner's Magic Quadrant classified Tableau as a leader for analytics and business intelligence.


Advantages of Tableau

  • Data visualization.

  • Quickly Create Interactive visualizations.

  • Ease of Implementation.

  • Tableau can handle large amounts of data.

  • Use of other scripting languages in Tableau.

  • Mobile Support and Responsive Dashboard.

  • Tableau Company Strategy.

  • Scheduling or notification of reports.


PROBLEMS YOU'VE EXPERIENCED WITH EXCEL IN THE PAST

  • Excel becomes slow or crashes when you have lots of data, formatting and Charts inside a workbook.

  • Mistakenly working on the wrong file you saved.

  • It’s so annoying to email multiple Excel files to the same people everyday.

  • It takes hours to create a dashboard with multiple charts and formula functions.

  • Some time Excel files are used to store the large amount data which is a very wrong decision because to update the data everyday on that file is a headache because it takes so much time to get open and then to get save.


Note : Excel is also an Excellent Application. Yes Excel has some draw backs but it doesn't means its useless. Excel is also the Excellent tool to visualize and analyze the data.


Section 1:Introduction

Lecture 1:Introduction

Lecture 2:Download

Lecture 3:Install

Lecture 4:Connect with Database

Lecture 5:Tableau Live & Extract

Lecture 6:View tables

Lecture 7:Data Types

Lecture 8:Tableau Work Sheet Interface

Lecture 9:Data Types Symbol

Lecture 10:Adding new Sheet

Lecture 11:Product Category & Sales

Lecture 12:Dimension & Measures

Lecture 13:Grouping

Lecture 14:Granularity

Lecture 15:Table into chart form

Lecture 16:Filtering

Lecture 17:Date Filter


Section 2:Chart

Lecture 18:Create a Chart

Lecture 19:Line Chart

Lecture 20:Bar Chart

Lecture 21:Pie Chart

Lecture 22:Tree map

Lecture 23:Stacked Tree Map

Lecture 24:Bar Chart Color Measure

Lecture 25:Bar Chart size Measure

Lecture 26:Bar Chart Size and color Measure

Lecture 27:Bar Chart with dual axis

Lecture 28:Bar Stacked Part1

Lecture 29:Bar Stacked Part2

Lecture 30:Heat Map1

Lecture 31:Heat Map2

Lecture 32:Heat Map3

Lecture 33:Heat Map4

Lecture 34:Scattered chart

Lecture 35:Line Chart Dual Axis

Lecture 36:Line Char Size Measure

Lecture 37:Line Chart multidimension and measures



Who this course is for:

  • For absolute Beginners & Freshers