Tableau Training

• Introduction to Tableau and it’s architecture. 
• Data blending and aggregation 
• Creation of Tableau dashboards 
• Data analytics and visualization 
• Special fields and Tableau generated fields
• Tableau reports, calculations and graphs. 
• Creating data connections 
• Deploying R scripts 

Following are the professionals who get benefited from learning this Tableau skill:

• Data Scientists,
• Testing Professionals
• Business Intelligence Professionals
• Business Analysts
• Project Managers
• Statisticians
• Functional Experts
• Data Visualization Analysts
• Graduates and professionals aspiring to start their career in the Data visua;ization world. 

There are no special prerequisites to enrol into this Tableau course. Anyone who is interested in this course can join and start learning.

• Data visualization and data analytics is the fastest growing field in today's IT world. 
• Tableau has ranked in the first place for four consecutive times in the Gartner's Magic quadrant for BI tools. 
• The average salary received by a Tableau professional is $1, 00,000 in the US and  ₹900,000 in India.

No, you need not to possess any coding knowledge to learn this skill. If you are good at data analysis and data analytics then learning Tableau is a cakewalk for you.

Yes, upon the successful completion of the Tableau training you will receive the course completion certificate from SK Trainings. This certificate is valid across all the top MNCs and simplifies your job search process.

Yes, you will get all assistance from the Tableau experts required to clear your certification exams. Moreover you will be provided with the experts designed Tableau course material to clear your certification exam.

• Tableau Desktop
• Tableau Server
• Tableau Public
• Tableau Reader

• What is Tableau?
• Tableau Architecture
• What is My Tableau Repository?
• Tableau Interface

• Data Model
• Connecting to Data
• Introduction to data source concepts
• Types of Joins
• Cross database joins
• Data Interpreter
• Union
• Custom SQL

• .twbx
• .twb
• .tde
• .twbx vs .twb
• Live vs Extract

• Dimensions and Measures
• Data Types and properties
• Geographic role
• Marks Card
• Using Show Me

• Measure Names
• Measure Values
• Number of records
• Longitude
• Latitude

• Text Table chart
• Heat Map
• Tree Map
• Highlight table
• Symbol map
• Filled map
• Pie chart
• Bar chart
• Stacked bar chart
• Side by side bar chart
• Circle view
• Side by side circle view
• Line chart with discrete and continuous date
• Discrete vs Continuous
• Area chart with discrete and continuous date
• Dual combination
• Dual lines chart
• Scatterplot
• Histogram
• Box and whisker
• Bullet graph
• Packed bubble

• Calculated Fields
• Parameters
• Customized Calculating Fields
• Functions – Logical, Date and String functions
• Working with aggregate versus disaggregate data
• Usage of Logical conditions
• Inshelves Calculations
• Level of detail expression

• Explain scope and direction
• % total
• Running calculations
• Moving Average
• Percent Difference

• Waterfall Chart
• Donut Chart
• Candlestick chart
• Map with Pie
• Custom Shape Chart
• Dual combination chart without using date field
• Word cloud
• Quadrant Chart
• Advance text table with up and down arrow
• Waffel Chart

• Venn Diagram
• Funnel Chart

• Blended Axis
• Dual Axis
• Edit axis
• Totals & Subtotals

• Replacing data source
• Edit Alias of fields
• Custom Split

• Data source filter
• Extract filter
• Dimension filter
• Normal filter
• Quick Filter
• Context filters
• Top/Bottom N
• Highlighter
• Sets

• Sorting
• Groups
• Bins
• Hierarchy
• Combined fields

• Reference Line
• Reference Band
• Distribution Band
• Constant Line
• Average line
• Trend Line
• Forecasting
• Clustering

• Adding background images
• Changing image based on filter

• Publishing into Tableau Server
• Authorization
• Tableau Reader
• Export as pdf, image

• Adding Row level security
• Username function

• What is Data Blending?
• Difference between blending and joins
• When to use blending vs joins

• Adding user
• Setting permission
• Groups
• Sites
• Projects
• Scheduling Refresh

• Combining multiple visualizations into a dashboard (overview)
• Tiled vs Floating
• Dashboard Object
• Actions
  • URL
  • Filter
  • Highlight

Measures are the numeric metrics or measurable quantities of the data, which can be analyzed by dimension table. Measures are stored in a table that contain foreign keys referring uniquely to the associated dimension tables. The table supports data storage at atomic level and thus, allows more number of records to be inserted at one time. For instance, a Sales table can have product key, customer key, promotion key, items sold, referring to a specific event. Dimensions are the descriptive attribute values for multiple dimensions of each attribute, defining multiple characteristics. A dimension table ,having reference of a product key form the table, can consist of product name, product type, size, color, description, etc.

You can join a maximum of 32 tables in Tableau.

Sets are custom fields that define a subset of data based on some conditions. A set can be based on a computed condition, for example, a set may contain customers with sales over a certain threshold. Computed sets update as your data changes. Alternatively, a set can be based on specific data point in your view.

A hierarchical field in tableau is used for drilling down data. It means viewing your data in a more granular level.

In Tableau, filters are used to restrict the data from database. The different filters in Tableau are: Quick , Context and Normal/Traditional filter are:

○   Normal Filter is used to restrict the data from database based on selected dimension or measure. A Traditional Filter can be created by simply dragging a field onto the ‘Filters’ shelf.
○   Quick filter is used to view the filtering options and filter each worksheet on a dashboard while changing the values dynamically (within the range defined) during the run time.
○   Context Filter is used to filter the data that is transferred to each individual worksheet. When a worksheet queries the data source, it creates a temporary, flat table that is uses to compute the chart. This temporary table includes all values that are not filtered out by either the Custom SQL or the Context Filter.

●  Joining term is used when you are combining data from the same source, for example, worksheet in an Excel file or tables in Oracle database
●   While blending requires two completely defined data sources in your report.

                                        

                                                                                                

● A .twb is an xml document which contains all the selections and layout made you have made in your Tableau workbook. It does not contain any data. ● A .twbx is a ‘zipped’ archive containing a .twb and any external files such as extracts and background images.

Tableau Data Engine is a really cool feature in Tableau. Its an analytical database designed to achieve instant query response, predictive performance, integrate seamlessly into existing data infrastructure and is not limited to load entire data sets into memory. If you work with a large amount of data, it does takes some time to import, create indexes and sort data but after that everything speeds up. Tableau Data Engine is not really in-memory technology. The data is stored in disk after it is imported and the RAM is hardly utilized.

●  Horizontal – Horizontal layout containers allow the designer to group worksheets and dashboard components left to right across your page and edit the height of all elements at once.
●   Vertical – Vertical containers allow the user to group worksheets and dashboard components top to bottom down your page and edit the width of all elements at once.
●   Text – All textual fields.
●   Image Extract  – A Tableau workbook is in XML format. In order to extracts images, Tableau applies some codes to extract an image which can be stored in XML.
●   Web [URL ACTION] – A URL action is a hyperlink that points to a Web page, file, or other web-based resource outside of Tableau. You can use URL actions to link to more information about your data that may be hosted outside of your data source. To make the link relevant to your data, you can substitute field values of a selection into the URL as parameters.

Adding a Custom Color refers to a power tool in Tableau. Restart you Tableau desktop once you save .tps file. From the Measures pane, drag the one you want to add color to Color. From the color legend menu arrow, select Edit Colors. When a dialog box opens, select the palette drop-down list and customize as per requirement.

A group is a combination of dimension members that make higher level categories. For example, if you are working with a view that shows average test scores by major, you may want to group certain majors together to create major categories.

Tableau server acts a middle man between Tableau users and the data. Tableau Data Server allows you to upload and share data extracts, preserve database connections, as well as reuse calculations and field metadata. This means any changes you make to the data-set, calculated fields, parameters, aliases, or definitions, can be saved and shared with others, allowing for a secure, centrally managed and standardized dataset. Additionally, you can leverage your server’s resources to run queries on extracts without having to first transfer them to your local machine.

Performance testing is again an important part of implementing tableau. This can be done by loading Testing Tableau Server with TabJolt, which is a “Point and Run” load generator created to perform QA. While TabJolt is not supported by tableau directly, it has to be installed using other open source products.

The auto-filter provides a feature of removing ‘All’ options by simply clicking the down arrow in the auto-filter heading. You can scroll down to ‘Customize’ in the dropdown and then uncheck the ‘Show “All” Value’ attribute. It can be activated by checking the field again.

Yes, one can create relational joins in tableau without creating a new table.

In some cases, you can improve query performance by selecting the option to Assume Referential Integrity from the Data menu. When you use this option, Tableau will include the joined table in the query only if it is specifically referenced by fields in the view.

You need to publish report to tableau server, while publishing you will find one option to schedule reports.You just need to select the time when you want to refresh data.

Data blending is the ability to bring data from multiple data sources into one Tableau view, without the need for any special coding. A default blend is equivalent to a left outer join. However, by switching which data source is primary, or by filtering nulls, it is possible to emulate left, right and inner joins.

A story is a sheet that contains a sequence of worksheets or dashboards that work together to convey information. You can create stories to show how facts are connected, provide context, demonstrate how decisions relate to outcomes, or simply make a compelling case. Each individual sheet in a story is called a story point.