A to Z Tableau Course For Beginners Intermediates

A to Z Tableau Course For Beginners & Intermediates, available at $64.99, has an average rating of 4.2, with 169 lectures, based on 27 reviews, and has 197 subscribers.

You will learn about Basics of Tableau Tableau Charts & Visulization Tableau Functions & Calculations Union & Joins Tableau Concepts in details Filters This course is ideal for individuals who are Tableau course for Beginners to Intermediate or Who want to become a Tableau Developer or Data Analyst It is particularly useful for Tableau course for Beginners to Intermediate or Who want to become a Tableau Developer or Data Analyst.

Enroll now: A to Z Tableau Course For Beginners & Intermediates

Summary

Title: A to Z Tableau Course For Beginners & Intermediates

Price: $64.99

Average Rating: 4.2

Number of Lectures: 169

Number of Published Lectures: 169

Number of Curriculum Items: 169

Number of Published Curriculum Objects: 169

Original Price: $199.99

Quality Status: approved

Status: Live

What You Will Learn

Basics of Tableau

Tableau Charts & Visulization

Tableau Functions & Calculations

Union & Joins

Tableau Concepts in details

Filters

Who Should Attend

Tableau course for Beginners to Intermediate

Who want to become a Tableau Developer or Data Analyst

Target Audiences

Tableau course for Beginners to Intermediate

Who want to become a Tableau Developer or Data Analyst

WHO’S THIS FOR?

This course is designed specifically for freshers and also for those who want to switch career from Excel to Tableau.

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.

Learn how to use a TABLEAU Desktop  (Data Visualization) most demanded tool in the industry today. Give your career a boost. With our online sessions, you will be amazed what you can achieved.

Section 1 : Booster

1 Introduction

2 Download

3 Install

4 Tableau Extension

5 Connect with Database

6 Tableau Live & Extract

7 View Tables

8 Data Types

9 Tableau Work Sheet Interface

10 Data Types Symbol

11 Adding new Sheet

12 Product Category & Sales

13 Dimensions & Measures

14 Visualize data in workspace

15 Make Hierarchy

16 Grouping

17 Auto Generated Fields 5

18 Auto Generated Fields in Tableau

19 Records Per Dimension data or Item

20 Granularity

21 Granularity and Drill Down

22 Table into chart form

23 Color label

24 Color label for two different dimension

25 Map

26 Normal

27 Dynamic Filter

28 Date Filter 1

29 Date Filter 2 (Part1)

30 Date Filter 2 (Part2)

31 Date Filter 2 (Part 3)

32 Date Filter 3

33 Relevant Filter Explained

34 Relevant Filter in Tableau

35 Set

36 Discrete vs Continuous

37 Filtering

38 Keep only and Exclude

Section 2 : Filters

1  Filters

2 Type of Filters

3 Data Source Filters

4 Quick Filters

5 Dimension and Dependent Filters

6 Measure Filters

7 Context Filters Part1

8 Context Filters Part2

9 Context Filter Proper Details Part3

10 Date Filter

Session 3 : Charts

1 Introduction to charts

2 Create a Chart

3 Swap the Dimension & Measures

4 Bubble Chart

5 Pie Chart

6 Tree Map

7 Stacked Tree Map

8 Word Map Chart

8 Word Map Chart

9 Geographical Map

10 Geographical Bubble Map Measure

11  Geographical Bubble Map with size and color Measure

12 Geographical Bubble Map (Unknown error)

13 Geographical Map with color Dimension

14 Geographical Map with Date as Year Filter

15 Month Year Filter

16 Month Year Filter Apply

17 Bar chart

18 Bar chart color Measure

19 Bar chart size Measure

20 Bar chart size and color Measure

21 Bar chart with dual axis

22Bar Stacked chart part 1

23 Bar Stacked chart part 2

24 Reference line scope Entire table

25 Reference line scope per cell

26 Reference line scope per pan

27 Tree Map Stacked in Bar Chart

28 Bar Chart with Date as Month Year Filter.

29 Bubble Chart color label

30 Bubble Chart color label as second dimension

31 Bubble Chart with motion

32 Line Chart

33 Line chart dual axis

34 Line Chart size Measure

35 Line chart dual Measure Date as Month Year Filter

36 Funnel Chart 1

37 Funnel Chart 2 Intro

38 Funnel Chart 2 Created

39 Scattered chart

40 Water Fall Chart

41 Parameter part 1

42 Parameter part 2

43 Parameter with Dynamic Reference line

44 Scatter plot and Many more Part1

45 Scatter plot and Many more Part2

46 Scatter plot and Many more Part3

Section 4:Union & Joins

1 Intro Joins

2 Inner Join

3 Left Join

4 Right Join

5 Full Join

6 Inner Join In Tableau

7 Left Join in Tableau

8 Right Join In Tableau

9 Full Join In Tableau

10 Union

11 Union in Tableau

12 Relation Like Vlookup

Section 5  : Function Base

1 Function Intro

2 Sum ()

3 Min () & Max ()

4 Average ()

5 Floor ()

6 Ceiling ()

7 Count ()

8 Upper ()

9 Lower ()

10 Right () & Left ()

Section 6 : Functions & Calculations Part1

1 Function Intro

2 RANK()

3 RANK_DENSE()

4 Rank Part 2

5 Rank_unique Part1

6 Rank_unique Part2

7 Rank_unique Part3

8 COUNT() vs CountD()

9 Mid()

10 Len()

11 Find ()

12 Mid() part 2

13 Trim()

14 Replace()

15 Quick Table Calculations

16 Running Total

17 Difference

18 Percent Difference

19 Percent of Total

20 Moving Average Part 1

21 Moving Average Part 1 continuous

22 Date Functions ()

24 Now() Today()

25 DateName and DatePart ()

26 Date Diff ()

27 Dateadd ()

28 Datetrunc()

29 MakeDate()

Section 7 : Functions & Calculations Part 2

1 round zero or round function

2 round 1 2 3 4

3 absolute()

4 Concatenate()

5 Replace()

6 Table Across

7 Table Down

8 Table Across Then Down

Section 8 : Functions & Calculations Part 2

1 IF ()

2 IF () in Tableau

3 IF () OR

4 IF () OR in Tableau

5 IF () AND

6 Nested IF ()

7 Case ()

8 Null() using if

9 Null() using if including OR AND

10 AND OR Part1

11 AND OR Part2

Course Curriculum

Chapter 1: Booster

Lecture 1: Introduction

Lecture 2: Download

Lecture 3: Install

Lecture 4: Tableau Extension

Lecture 5: Connect with Database

Lecture 6: Tableau Live & Extract

Lecture 7: View Tables

Lecture 8: Data Types

Lecture 9: Tableau Work Sheet Interface

Lecture 10: Data Types Symbol

Lecture 11: Adding new Sheet

Lecture 12: Product Category & Sales

Lecture 13: Dimensions & Measures

Lecture 14: Visualize data in workspace

Lecture 15: Make Hierarchy

Lecture 16: Grouping

Lecture 17: Auto Generated Fields 5

Lecture 18: Auto Generated Fields in Tableau

Lecture 19: Records Per Dimension data or Item

Lecture 20: Granularity

Lecture 21: Granularity and Drill Down

Lecture 22: Table into chart form

Lecture 23: Color label

Lecture 24: Map

Lecture 25: Normal

Lecture 26: Dynamic Filter

Lecture 27: Date Filter 1

Lecture 28: Date Filter 2 (Part1)

Lecture 29: Date Filter 2 (Part2)

Lecture 30: Date Filter 2 (Part 3)

Lecture 31: Date Filter 3

Lecture 32: Relevant Filter Explained

Lecture 33: Relevant Filter in Tableau

Lecture 34: Set

Lecture 35: Discrete vs Continuous

Lecture 36: Filtering

Lecture 37: Keep only and Exclude

Chapter 2: Filters

Lecture 1: Filters

Lecture 2: Type of Filters

Lecture 3: Data Source Filters

Lecture 4: Quick Filters

Lecture 5: Dimension and Dependent Filters

Lecture 6: Measure Filters

Lecture 7: Context Filters Part1

Lecture 8: Context Filters Part2

Lecture 9: Context Filter Proper Details Part3

Lecture 10: Date Filter_

Chapter 3: Charts

Lecture 1: Introduction to charts

Lecture 2: Create a Chart

Lecture 3: Swap the Dimension & Measures

Lecture 4: Bubble Chart

Lecture 5: Pie Chart

Lecture 6: Tree Map

Lecture 7: Stacked Tree Map

Lecture 8: Word Map Chart

Lecture 9: Geographical Map

Lecture 10: Geographical Bubble Map Measure

Lecture 11: Geographical Bubble Map with size and color Measure

Lecture 12: Geographical Bubble Map (Unknown error)

Lecture 13: Geographical Map with color Dimension

Lecture 14: Geographical Map with Date as Year Filter

Lecture 15: Month Year Filter

Lecture 16: Month Year Filter Apply

Lecture 17: Bar chart

Lecture 18: Bar chart color Measure

Lecture 19: Bar chart size Measure

Lecture 20: Bar chart size and color Measure

Lecture 21: Bar chart with dual axis

Lecture 22: Bar Stacked chart part 1

Lecture 23: Bar Stacked chart part 2

Lecture 24: Reference line scope Entire table

Lecture 25: Reference line scope per cell

Lecture 26: Reference line scope per pan

Lecture 27: Tree Map Stacked in Bar Chart

Lecture 28: Bar Chart with Date as Month Year Filter.

Lecture 29: Bubble Chart color label

Lecture 30: Bubble Chart color label as second dimension

Lecture 31: Bubble Chart with motion

Lecture 32: Line Chart

Lecture 33: Line chart dual axis

Lecture 34: Line Chart size Measure

Lecture 35: Line chart dual Measure Date as Month Year Filter

Lecture 36: Funnel Chart 1

Lecture 37: Funnel Chart 2 Intro

Lecture 38: Funnel Chart 2 Created

Lecture 39: Scattered chart

Lecture 40: Water Fall Chart

Lecture 41: Parameter part 1

Lecture 42: Parameter part 2

Lecture 43: Parameter with Dynamic Reference line

Lecture 44: Scatter plot and Many more Part1

Lecture 45: Scatter plot and Many more Part2

Lecture 46: Scatter plot and Many more Part3

Lecture 47: Heat Map 1.1

Lecture 48: Heat Map 1.2

Lecture 49: Heat Map 1.3

Lecture 50: Heat Map 1.4

Instructors

Raghvan Bhattacharya
Booster

Rating Distribution

1 stars: 0 votes

2 stars: 2 votes

3 stars: 2 votes

4 stars: 10 votes

5 stars: 13 votes

Frequently Asked Questions

How long do I have access to the course materials?

You can view and review the lecture materials indefinitely, like an on-demand channel.

Can I take my courses with me wherever I go?

Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don’t have an internet connection, some instructors also let their students download course lectures. That’s up to the instructor though, so make sure you get on their good side!