Tableau Functions, Calculations, Filters, Unions & Joins
Tableau Functions, Calculations, Filters, Unions & Joins, available at $54.99, has an average rating of 4.38, with 99 lectures, based on 8 reviews, and has 101 subscribers.
You will learn about Functions Calculations Union & Joins Filters This course is ideal for individuals who are To learn tableau Functions & Calculations or To Become a Tableau Developer. or To Learn about Filters It is particularly useful for To learn tableau Functions & Calculations or To Become a Tableau Developer. or To Learn about Filters.
Enroll now: Tableau Functions, Calculations, Filters, Unions & Joins
Summary
Title: Tableau Functions, Calculations, Filters, Unions & Joins
Price: $54.99
Average Rating: 4.38
Number of Lectures: 99
Number of Published Lectures: 99
Number of Curriculum Items: 99
Number of Published Curriculum Objects: 99
Original Price: $149.99
Quality Status: approved
Status: Live
What You Will Learn
- Functions
- Calculations
- Union & Joins
- Filters
Who Should Attend
- To learn tableau Functions & Calculations
- To Become a Tableau Developer.
- To Learn about Filters
Target Audiences
- To learn tableau Functions & Calculations
- To Become a Tableau Developer.
- To Learn about Filters
WHO’S THIS FOR?
This course is designed specifically for intermediates but freshers are also welcome who want to understand Tableau Functions, Calculations, Filters, Unions & Joins.
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
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Data visualization.
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Quickly Create Interactive visualizations.
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Ease of Implementation.
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Tableau can handle large amounts of data.
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Use of other scripting languages in Tableau.
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Mobile Support and Responsive Dashboard.
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Tableau Company Strategy.
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Scheduling or notification of reports.
PROBLEMS YOU’VE EXPERIENCED WITH EXCEL IN THE PAST
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Excel becomes slow or crashes when you have lots of data, formatting and Charts inside a workbook.
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Mistakenly working on the wrong file you saved.
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Itβs so annoying to email multiple Excel files to the same people everyday.
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It takes hours to create a dashboard with multiple charts and formula functions.
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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.
Section 1:Starter
Lecture 1:Downlaod
(Preview enabled)
Lecture 2:Install
Lecture 3:Visualize Data in workspace
Section 2:Joins Intro
Lecture 4:Join Intro
Section 3:Joins & Unions
Lecture 5:Data Source Files & Join Intro
(Preview enabled)
Lecture 6:Inner Join
Lecture 7:Left Join
Lecture 8:Right Join
Lecture 9:Full Join
Lecture 10:Inner Join in Tableau
Lecture 11:Left Join in Tableau
Lecture 12:Right Join In Tableau
Lecture 13:Full Join In Tableau
Lecture 14:Union
Lecture 15:Union In Tableau
Section 4:Function
Lecture 16:Function Intro
Lecture 17:SUM()
Lecture 18:MIN() & MAX()
Lecture 19:AVERAGE()
Lecture 20:FLOOR()
Lecture 21:CEILING()
Lecture 22:COUNT()
Lecture 23:UPPER()
Lecture 24:LOWER()
Lecture 25:RIGHT() & Left ()
Section 5:Functions & Calculations
Lecture 26:Function
Lecture 27:RANK()
Lecture 28:Rank Dense ()
Lecture 29:Quick Table Calculations
Lecture 30:Running Total
Lecture 31:Difference
Lecture 32:Percent Difference
Lecture 33:Percent of Total
Lecture 34:Rank Part2
Lecture 35:Moving Average Part 1.1
Lecture 36:Moving Average Part 1.2
Lecture 37:Moving Average Part 1.3_
Lecture 38:Date Functions ()
Lecture 39:Now() Today()
Lecture 40:DateName and DatePart ()
Lecture 41:Date Diff ()
Lecture 42:Dateadd ()
Lecture 43:Datetrunc()
Lecture 44:MakeDate()
Lecture 45:COUNT() vs CountD()
(Preview enabled)
Lecture 46:Mid()
Lecture 47:Len()
Lecture 48:Find ()
Lecture 49:Mid() part 2
Lecture 50:Trim()
Lecture 51:Replace()
(Preview enabled)
Lecture 52:Rank_unique Part1
Lecture 53:Rank_unique Part2
Lecture 54:Rank_unique Part3
Section 6:Function & Calculations Part 2
Lecture 55:round zero or round function
Lecture 56:round 1 2 3 4
Lecture 57:absolute()
Lecture 58:Concatenate()
Lecture 59:Replace()
Lecture 60:Table Across
Lecture 61:Table Down
Lecture 62:Table Across Then Down
Section 7:LOD Level of Details
Lecture 63:1
Lecture 64:2
Lecture 65:3
Lecture 66:4
Lecture 67:5_
Lecture 68:6
Lecture 69:7
Lecture 70:8
Lecture 71:9
Section 8:IF & Case Functions
Lecture 72:IF ()
Lecture 73:IF () in Tableau
(Preview enabled)
Lecture 74:IF () OR
Lecture 75:IF () OR in Tableau
Lecture 76:IF () AND
Lecture 77:Nested IF ()
Lecture 78:Case ()
Lecture 79:Null() using if
Lecture 80:Null() using if including OR AND
Lecture 81:AND OR Part1
Lecture 82:AND OR Part2
Lecture 83:Viz 1
Lecture 84:Viz 2
Section 9:Filtrers
Lecture 85:Filters
Lecture 86:Type of Filters
Lecture 87:Data Source Filters
Lecture 88:Quick Filters
Lecture 89:Dimension and Dependent Filters
Lecture 90:Meausure Filters
Lecture 91:Context Filters Part1
Lecture 92:Context Filters Part2
Lecture 93:Context Filter Proper Details Part3
Lecture 94:Date Filter
Lecture 95:Table Across
Lecture 96:Table Down
Lecture 97:Table Across Then Down
Lecture 98:Final
Course Curriculum
Chapter 1: Starter
Lecture 1: Downlaod
Lecture 2: Install
Lecture 3: Visualize Data in workspace
Lecture 4: Join Intro
Chapter 2: Joins & Unions
Lecture 1: Data Source Files & Join Intro
Lecture 2: Inner Join
Lecture 3: Left Join
Lecture 4: Right Join
Lecture 5: Full Join
Lecture 6: Inner Join in Tableau
Lecture 7: Left Join in Tableau
Lecture 8: Right Join In Tableau
Lecture 9: Full Join In Tableau
Lecture 10: Union
Lecture 11: Union In Tableau
Chapter 3: Function
Lecture 1: Function Intro
Lecture 2: SUM()
Lecture 3: MIN() & MAX()
Lecture 4: AVERAGE()
Lecture 5: FLOOR()
Lecture 6: CEILING()
Lecture 7: COUNT()
Lecture 8: UPPER()
Lecture 9: LOWER()
Lecture 10: RIGHT() & Left ()
Chapter 4: Functions & Calculations
Lecture 1: Function
Lecture 2: RANK()
Lecture 3: Rank Dense ()
Lecture 4: Quick Table Calculations
Lecture 5: Running Total
Lecture 6: Difference
Lecture 7: Percent Difference
Lecture 8: Percent of Total
Lecture 9: Rank Part2
Lecture 10: Moving Average Part 1.1
Lecture 11: Moving Average Part 1.2
Lecture 12: Moving Average Part 1.3_
Lecture 13: Date Functions ()
Lecture 14: Now() Today()
Lecture 15: DateName and DatePart ()
Lecture 16: Date Diff ()
Lecture 17: Dateadd ()
Lecture 18: Datetrunc()
Lecture 19: MakeDate()
Lecture 20: COUNT() vs CountD()
Lecture 21: Mid()
Lecture 22: Len()
Lecture 23: Find ()
Lecture 24: Mid() part 2
Lecture 25: Trim()
Lecture 26: Replace()
Lecture 27: Rank_unique Part1
Lecture 28: Rank_unique Part2
Lecture 29: Rank_unique Part3
Chapter 5: Function & Calculations Part 2
Lecture 1: round zero or round function
Lecture 2: round 1 2 3 4
Lecture 3: absolute()
Lecture 4: Concatenate()
Lecture 5: Replace()
Chapter 6: LOD Level of Details
Lecture 1: 1
Lecture 2: 2
Lecture 3: 3
Lecture 4: 4
Lecture 5: 5_
Lecture 6: 6
Lecture 7: 7
Lecture 8: 8
Chapter 7: IF & Case Functions
Lecture 1: IF ()
Lecture 2: IF () in Tableau
Lecture 3: IF () OR
Lecture 4: IF () OR in Tableau
Lecture 5: IF () AND
Lecture 6: Nested IF ()
Lecture 7: Case ()
Lecture 8: Null() using if
Lecture 9: Null() using if including OR AND
Lecture 10: AND OR Part1
Lecture 11: AND OR Part2
Lecture 12: Viz 1
Lecture 13: Viz 2
Lecture 14: Viz3
Lecture 15: Viz4
Lecture 16: viz5
Lecture 17: viz6
Lecture 18: viz7
Chapter 8: 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: Meausure Filters
Lecture 7: Context Filters Part1
Instructors
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Raghvan Bhattacharya
Booster
Rating Distribution
- 1 stars: 0 votes
- 2 stars: 1 votes
- 3 stars: 1 votes
- 4 stars: 0 votes
- 5 stars: 6 votes
Frequently Asked Questions
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