Tableau Desktop Training: Master Data Visualization

Share this page:

What is tableau?

Tableau is a data visualization software that helps you see and understand your data. It is a powerful tool that can be used by anyone, regardless of their technical skills. Tableau allows you to connect to a wide variety of data sources, including databases, spreadsheets, and cloud-based data warehouses. Once you have connected to your data, you can use Tableau to create interactive visualizations that can be shared with others.

Tableau Desktop Course Training in Nagpur, Maharashtra

Tableau is a popular tool for businesses of all sizes. It is used by companies in a variety of industries, including healthcare, finance, and retail. Tableau is also used by educational institutions and government agencies.

Some of the benefits of using Tableau include:

Easy to use: Tableau is a user-friendly tool that can be used by anyone, regardless of their technical skills.
Powerful: Tableau is a powerful tool that can be used to create interactive visualizations that can be shared with others.
Versatile: Tableau can be used to connect to a wide variety of data sources.
Scalable: Tableau can be used by businesses of all sizes.

If you are looking for a data visualization tool that is easy to use, powerful, and versatile, then Tableau is a good option.

Here are some of the features of Tableau:

Connect to a wide variety of data sources: Tableau can connect to a wide variety of data sources, including databases, spreadsheets, and cloud-based data warehouses.
Create interactive visualizations: Tableau allows you to create interactive visualizations that can be shared with others.
Share your work: Tableau makes it easy to share your work with others. You can share your visualizations online, or you can publish them to Tableau Server.
Learn Tableau: Tableau offers a variety of resources to help you learn how to use the software. You can find online tutorials, webinars, and books on Tableau.

If you are interested in learning more about Tableau, you can visit our office and get a free demo from our faculties.

Tableau is included as a visualization module in our Data Analyst Course in Nagpur , where students learn how to create interactive dashboards and business intelligence reports.

Course Content:

1. Introduction

1. What is Tableau

2. Difference between Tableau Desktop and Tableau Public

3. How to get Tableau Desktop for Student.(1 Year License)

4. Installing Tableau Public or Tableau Desktop

2. Introduction to Various Chart Types

1. Bar Chart

2. Line Chart

3. Stacked Bar Chart

4. Histograms

5. Heatmaps

6. Treemaps

7. Bullet Graph

8. Combined Axis Chart

9. Dual Axis Chart

10. Scatterplot

11. Cross Tab or Text Table

12. Box and Whisker Plots

13. Word Cloud

14. Pie Charts

15. Doughnut Charts

16. Using Mark Labels and Annotations

17. Adding Titles, Captions and Tooltips

18. Editing Axes

19. Shape View Charts

20. Circle View Charts

21. Square View Charts

22. Custom Shape Charts

3. Tableau Fundamental’s.

1. Navigating Tableau

2. Using "Show Me"

3. Using Tableau-Generated Fields

4. Discrete vs Continuous Fields (Practical)

5. Dimensions vs Measures | Theory

6. Aggregation and Granularity

7. Dimensions (Discrete & Continuous) - Advanced Topic

8. Measures (Discrete & Continuous) - Advanced Topic

9. Default Aggregation

10. Aggregating Dimensions

11. Saving a Tableau Packaged Workbook *. twbx

12. Date is (almost) Always a Dimension

13. Discrete vs Continuous Date Fields

14. Datepart vs Datetrunc | Theory

15. Discrete vs Continuous Date Fields (cont.) - Advanced Topic | Theory

16. Datepart (Discrete & Continuous) - Advanced Topic

17. Datetrunc (Discrete & Continuous) - Advanced Topic

18. Can Date be a Measure?

4. Filtering Data

1. Dimension Filter

2. Date Filter

3. Measure Filter

4. Relevant Values

5. Context Filter

6. Scope of Filter

7. Add a Parameter – Filters

5. Organizing & Simplifying Data

1. Sort data - Computed Sort

2. Sort Data - Manual Sort

3. Build Groups - Visual Group

4. Build Groups - Using Labels

5. Build Sets - Static

6. Build Sets - Dynamic

7. Groups vs Sets

8. Build Sets - Combining Sets

6. Analytics

1. Reference Lines

2. Reference Bands

3. Reference Bands - Parameter Control

4. Data Highlighter

5. Trend Lines

6. Trend Model

7. Reference Distributions

8. Trend Lines Multiplot (not compulsory for exam)

9. Drag & Drop Analytics

10. Box Plots

11. Extra: Box Plots Theory

12. Bins & Histograms

13. Forecasting

14. Statistical Summary Card

7. Connect to Data Sources

1. Union

2. Union with Wildcard

3. Additional reading: Unions

4. Understanding how LEFT, RIGHT, INNER, and OUTER Joins Work

5. Joins with Duplicate Values

6. Joining on Multiple Fields

7. Single Connection Joins

8. Cross-Database (Multiple Connection) Joins

9. Union-Join-Union Challenge

10. Using Calculations in Join Clauses

11. Blending

12. Create a Calculated Field in a Blend

8. Prepare Data for Analysis

1. Connect to Different Data Source Types

2. Pivot

3. Data Interpreter

4. Automatic & Custom Split

5. Managing Data Properties (Names, Aliases, Types, Geographic Roles, Defaults)

6. Metadata Grid

7. Data Source Filters

8. Filetypes in Tableau | Slides

9. Live Connections vs Packaged Workbooks (*.TWB vs *. TWBX)

10. Metadata Properties vs Packaged Data Sources (*.TDS vs *. TDSX)

11. Tableau Extracts *. HYPER (vs *.TDE)

12. Tableau Extracts

12.1 Incremental Refresh

12.2 Full Refresh

12.3 Aggregate Data for Visible Dimension

12.4 Top Rows

12.5 Sample Rows/Percent

13. Data Extracts with Logical vs Physical Tables

9. Mapping in Tableau

1. Modifying Locations

2. Background Maps

3. Map Background Layers

4. Navigating Maps

5. Map Options

6. Filtering Maps

7. Geographic Search

8. Lasso & Radial Selection

9. Custom Territories

10 Using Latitude and Longitude Coordinates

11. Exploring our Map

12. Density Plots / Heat Maps

13. Dual Axis Map

10. Dashboards Basics and Story

1. Preparing the worksheets

2. Creating the dashboard

3. Dashboard Size

4. Device Preview & Adding Device Layouts

5. Auto-generating the Mobile Layout

6. Layout menu - Exam trick questions

7. Visual best practices for devices

8. Working with Hidden Sheets

9. Publishing & Sharing options

10. Share twbx as an Image

11. Share twbx as a PDF

12. Building a Story

11. Dashboards Actions - Advance Topic

1. Creating a Map of Kiva Loans

2. Creating a Timeline of Funded Amounts

3. Creating a Barchart for Sector

4. Creating a Pie Chart of Split by Gender

5. Build the Kiva Loans Dashboard

6. Action: Filter

7. Action: Highlight

8. Action: Change Parameter

9. Action: Change Parameter (Exam insights: Aggregation)

10. Action: Change Parameter (Concatenation)

11. Action: Change Set Values

12. Action: Change Set Values (Exam tips)

13. Action: Go to Sheet

14. Action: Go to URL

15. Worksheet Actions

16. Displaying a numeric KPI

12. Introduction to Calculations

1. Creating a Simple Calculated Field

2. String Calculated Field

3. Date Calculated Field

4. Row-Level vs Aggregated Calculations (Part 1)

5. Row-Level vs Aggregated Calculations (Part 2)

6. Row-Level vs Aggregated Calculations (Part 3)

7. Logic Statements (Part 1)

8. Logic Statements (Part 2)

9. Working with Parameters (Part 1)

10. Working with Parameters (Part 2)

11. Calculated Field in a Blend (Part 1)

12. Calculated Field in a Blend (Part 2)

13. Totals & Sub-totals

14. Ad-Hoc Calculations

13. Quick Table Calculations

1. Quick Table Calculations: Percent of Total

2. Quick Table Calculations: Rank

3. Quick Table Calculations: Running Total

4. Nested Table Calculations

5. Quick Table Calculations: Moving Average

6. Quick Table Calculations: Difference

7. Quick Table Calculations: Percent Difference

8. Table Calculations Theory: Scope and Direction

9. Hands-on practice with Scope of Table Calculations

10. Custom Table Calculations

11. Hands-on practice with Direction of Table Calculations

12. Table Calculations and Order of operations in Tableau

14. Calculations LOD Expressions

1. Level Of Detail (LOD) Expressions Introduction

2. Use-Case #1: FIXED LOD - Percent of Total

3. LOD Planning

4. Building the LOD

5. Building the Visualization

6. FIXED LOD - Discussion

7. Use-Case #2: INCLUDE LOD - Average of Top Deals by Store

8. LOD Planning & Building

10. Building the Visualization

11. INCLUDE LOD - Discussion

12. Use-Case #3: EXCLUDE LOD - Comparative Sales Analysis

13. LOD Planning

14. Building the LOD

15. Building the Visualization

16. Building the Visualization - Add a Parameter

17. Building the Visualization - Add Colour

18. EXCLUDE LOD - Discussion (ATTR function)

19. Use-Case #4: Nested LODs

20. LOD Planning & Building - LOD A

21. LOD Planning & Building - LOD B

22. Building the Visualization

23. Nested LODs - Discussion