Welcome to Learn From Guru!

1. Introduction and Overview.

2. Dataware house Basic concepts

3. Why Tableau? Why Visualization?

1. Things you should know about Tableau

2. Getting Started

3. Connecting to Data and introduction to data source concepts

4. Working with data files versus database servers

5. Understanding the Tableau workspace

6. Dimensions and Measures

5. Using Show Me!

1. Tour of Shelves (How shelves and marks work)

2. Building Basic Views

3. Help Menu and Samples

4. Saving and Sharing your work

 

6. Concepts and Options when Connecting to Data

 

1. Joining multiple tables

2. Data Blending

3. Copy and Paste

4. Data Extracts

5. Custom SQL

6. Publishing and Re-using Data Connections

7. Understand how to deal with data changes in your data source such as field addition, deletion or name change

8. Re-using and sharing data connections – the concept of meta data

7. Working with multiple connections in the same workbook

1. Analysis

2. Creating Views Marks Size and Transparency

3. Highlighting Working with Dates Date aggregations and date parts

4. Discrete versus Continuous Dual Axis / Multiple Measures Comb;2o Charts with different mark types Geographic Map

5. Page Trails

6. Heat Map

8. Density Chart

1. Scatter Plots

2. Pie Charts and Bar Charts

3. Small Multiples Working with aggregate versus disaggregate data

4. Analyzing

5. Sorting & Grouping

9. Aliases

1. Filtering and Quick Filters

2. Cross-Tabs (Pivot Tables)

3. Totals and Subtotals

4. Drilling and Drill Through

5. Aggregation and Disaggregation

10. Logic Statements

1. Formatting

2. Options in Formatting your Visualizations

3. Working with Labels and Annotations

4. Effective Use of Titles and Captions

5. Introduction to Visual Best Practices

11. Building Interactive Dashboards 

1. Filtering, Sorting & Grouping

2. when working with and analyzing data. We will briefly review these topics as they apply to

3. Tableau

4. Advanced options for filtering and hiding

5. Understanding your many options for ordering and grouping your data: Sort,

6. Groups, Bins, Sets

7. Understanding how all of these options inter-relate

12. Working with Data

1. Data Types and Roles

2. Dimension versus Measures

3. Data Types

4. Discrete versus Continuous

5. The meaning of pill colors

6. Database Joins

7. Data Blending

8. Working with the Data Engine / Extracts and scheduling extract updates

9. Working with Custom SQL

10. Adding to Context

11. Switching to Direct Connection

12. Building meta data via shared Data Source connections

13. Performance considering and working with big data

14. OLAP considerations (Overview)

13. Working with Calculated Data and Statistics

1. A Quick Review of Basic Calculations

2. Arithmetic Calculations

3. String Manipulation

4. Date Calculations

5. Quick Table Calculations

6. Custom Aggregations

7. Custom Calculated Fields

8. Logic and Conditional Calculations

9. Conditional Filters

10. Advanced Table Calculations

11. Understanding Scope and Direction

12. Calculate on Results of Table Calculations

13. Complex Calculations

14. Difference From Average

15. Discrete Aggregations

16. Index to Ratios

17. Understanding where Calculations Occur

18. Statistics

19. Reference / Trend Lines

20. Statistical Calculations

21. Working with Dates and Times

22. Continuous versus Discrete Dates

23. Dates and Times

24. Reference Dates

14. Advanced Mapping

1. Fundamentals Review: Building basic maps

2. Fixing geographies

3. Geographic Fields

4. Map Options

5. Built-in Demographics / Layering

6. WMS – working with a Web Map Service

7. Importing Custom Geographies

8. Assigning Geographies to Non-Geographic fields

9. Distance Calculations

10. Spatially Visualizing non-Geographic Data using background images and geo-coding

 
 

15.Working with Parameters

1. Parameter Basics

2. Data types of parameters

3. Using parameters in calculated fields

4. Inputting parameter values and parameter control options

5. Advanced Usage of Parameters

6. Using parameters for titles, field selections, logic statements, Top X

16. Building Advanced Chart Types and Visualizations / Tips & Tricks

1. How to create some of the chart types and visualizations that may be less obvious in Tableau. It

2. also covers some of the more common tips & tricks / techniques that we use tassist customers

3. in solving some of their more complex problems.

4. Bar in Bar

5. Box Plot

6. Bullet Chart

7. Custom Shapes

8. Gantt Chart

9. Heat Map

10. Spark Line

11. KPI Chart

17.Best Practices in Formatting and Visualizing

1. Formatting Tips

2. Drag Legend

3. Edit Legend

4. Fill 100% Black Line

5. Highlighting

6. Labeling

7. Legends

8. Working with Nulls

9. Table Options

10. Annotations and Display Options

11. Introduction to Visualization Best Practices

18. Building Better Dashboards

1. Interactive Dashboards

2. Quick Filters

3. Dashboard Objects

4. Filter Actions

5. Highlighting and Actions

6. Performance

7. Publish to Web

8. Zones

9. Guided Analytics

10. Cascading Filters

11. Highlighting

12. Quick filter Options

13. Select then See Visual

14. Self-Populating Dashboards

15. Shortcuts

16. URL Actions

17. Combining multiple visualizations into a dashboard

18. Making your worksheet interactive by using actions and filters

19. An Introduction to Best Practices in Visualization

19. Publish to Tableau Server and Sharing over the Web

20. Tableau Server

1. Tableau Server Architecture

2. Tableau Server Web Interface

3. Server Components

4. Single Installer

5. Worker Installer

6. Authentication

7. Processes & Data Server

8. Gateway & Load balancer

9. Backgrounder

10. Create the First Admin User

11. Sites

12. Create Projects and Groups

13. Assign Permissions to Projects

14. Licensing

15. Data Connections

16. Data Strategy

17. User filters

18. Metadata management

19. Connecting to data with Data Server

20. Updating data sources

21. SSL

22. Effects of different permissions

23. Grouping users

24. Administrator Views

25. Creating custom Administrator views

26. Server Performance

27. Performance Recorder

28. Server Configuring for Failover à Not possible with Trial Software, also needs multiple servers (hardware)

29. Server High availability à Not possible with Trial Software, also needs multiple servers (hardware)

30. Tableau Repository Database Maintenance

Short Term Course : Available