Tableau Training Course Overview:Vistaedutech’s Tableau Training you will helps you with the followings :
- Learn the key concepts of Data Visualization and how data can be transformed by cleaning, splitting, pivoting, and merging using Tableau 10.
- Discuss the architecture of Tableau, establish connection with data sets , perform Joins on the data sets and explore the NEW CROSS JOIN that is now possible with data integration.
- Discover new ways to analyze your data such as, quick highlighting, reference lines, and use the new Clustering feature. Create personalized, dynamic visualizations by using Parameters to take user input and drive the visualization. Discuss good design practices for dashboards and how to make them fully interactive using Actions. Perform extensive hands-on activities using Tableau 10 thereby emphasizing the concepts. This training will help you clear the Tableau Associate Certificate Level Exam.
Tableau Training Key Features:Online Instructor Led Training:
- 30 Hours Instructor-led Sessions
- Real-life Case Studies
- 20 Hours Assignments
- Lifetime Access
- 24 x 7 Expert Support
Tableau Training FAQ:Do you provide money back guarantee for the Tableau training programs? We do provide money back guarantee for some of our training programs. You can contact support@Vistaedutech.com for more information. Do you provide any course completion certificate? Yes, we offer course completion certificate after you successfully complete the Tableau training program. Do you provide any group discounts for online training programs? Yes, we have group discount packages for online training programs. Contact support@Vistaedutech.com to know more about the group discounts. Is there any refund if in case I want to cancel the class ? Please visit our Refund and Cancellation Policy pages for more details.
Why tableau training course ?
- Verizon, Facebook, Dell, General Motors, KPMG, Bank of America & other 35,000 MNCs worldwide use Tableau across industries
- Average salary of a Tableau professional is $100,000 ( Indeed.com )
- Tableau is a Leader in 2017 Gartner Magic Quadrant for Business Intelligence & Analytics Platforms ( 5th Consecutive Year )
Exams and CertificationsVistaedutecht certifies you as Data Visualization expert based on your project performance, reviewed by our expert panel.
Introduction to Data Visualization
- Identify the prerequisites, goal, objectives, methodology, material, and agenda for the course
- Discuss the basic of Data Visualization
- Get a brief idea about Tableau, establish connection with the dataset, perform Joins operation on the data set
- Data Visualization
- Introducing Tableau 10.0
- Establishing Connection
- Joins and Union
- Data Blending
- Establishing connection with the files, Introducing important UI components (ShowMe, Fit Axes)
- Perform Cross Joins between the dataset
- Manage extracts and metadata (by creating hierarchy and folders)
- Describe what is Visual Analytics, why to use it, and it’s various scopes
- Explain aggregating and disaggregating data and how to implement data granularity using marks card on aggregated data
- Describe what is highlighting, with the help of a use-case
- Illustrate basic graphs including bar graph, line graph, pie chart, dual axis graph, and area graph with dual axis
- Managing Extracts
- Managing Metadata
- Visual Analytics
- Data Granularity using Marks Card
- Introduction to basic graphs
- Creating Extracts, Hierarchy, Folders
- All the features of Marks Card Shelve with use case provided
- Power of Highlighting in the visualization using the Use-case
- How to create basic graphs in Tableau10.x
Visual Analytics in depth I
- Perform sorting techniques including quicksort, using measures, using header and legend, and sorting using pill with the help of a use case.
- Master yourself into various filtering techniques such as Parametrized filtering, Quick Filter, Context Filter. Learn about various filtering option available with the help of use case and different scenarios.
- Illustrate grouping using data-window, visual grouping, and Calculated Grouping (Static and Dynamic).
- Illustrate some more graphical visualization including Heat Map, Circle Plot, Scatter Plot, and Tree Maps.
- Graphical Visualization
- Quick Sort, Sorting using measure, Sorting using header and legends, sorting using pill(use-case).
- Filtering Use cases covering different options (General, Wildcard, Conditional).
- Interactive Filter, Quick Filter, Context Filter.
- Grouping using Data Window, Visual Grouping, Calculated Grouping (Static and Dynamic).
Visual Analytics in depth II
- Explain the basic concepts of sets followed by Creating sets using Marks Card, computation sets and combined sets
- Describe the concepts of forecasting with the help of Forecasting problem as a use-case
- Discuss the basic concept of clustering in Tableau
- Add Trend lines and reference line to your visualization
- Discuss about Parameter in depth using Sets and Filter
- Trend Lines.
- Reference Lines.
- Create sets using marks card, Computation sets, and Combined sets
- Forecasting using Precise Range
- Methods of clustering
- Adding trend line and reference line (along with various options available for them)
- Parameter using sets and filter
Dashboard and Stories
- Describe the basic concepts of Dashboard and its UI.
- Build a dashboard by adding sheets and object into it
- Modify the view and layout.
- Edit your dashboard, how it should appear on phones or tablets.
- Create an interactive dashboard using actions (filter, highlighting, URL).
- Create stories for your Visualization and Dashboards.
- Introduction to Dashboard.
- Creating a Dashboard Layout.
- Designing Dashboard for Devices.
- Dashboard Interaction – Using Action.
- Introduction to Story Point.
- Creating Dashboard and learning its UI component.
- Changing the layout of the dashboard.
- Using Device Designer to create dashboard for devices.
- Create an interactive dashboard using actions (Filter, Highlight, URL).
- Creating story with dashboard.
- Map the coordinates on the map, plot geographic data, and use layered view to get the street view of the area.
- Edit the ambiguous and unrecognized location plotted on the map.
- Customize territory in a polygon map.
- Connect to the WMS Server, use a WMS background map and saving it.
- Add a background image and generate its coordinate and plot the points.
- Introduction to Maps.
- Editing Unrecognized Locations.
- Custom Geocoding.
- Polygon Maps.
- Web Mapping Services.
- Background Images.
- Plot the coordinate points on the map, plotting the geographic data, Street View using the layered view.
- Editing Unrecognized and ambiguous location
- Custom Geocoding.
- Creating a custom territory, building a polygon map.
- Establishing connection with the WMS Server a WMS background map and saving it.
- Adding a background image and generate coordinates and finally plotting points.
- Perform Calculations using various types of functions such as Number, String, Date, Logical, and Aggregrate.
- In addition, you will get to know about Quick Table Calculation.
- Cover the following LOD expressions – Fixed, Included, and Excluded.
- Introduction to Calculation : Number Functions, String Functions , Date Functions, Logical Functions, Aggregate Functions.
- Introduction to Table Calculation.
- Introduction to LOD expression : Fixed LOD , Included LOD, Excluded LOD
- All Functions (Number, String, Date, Logical, Aggregate)
- Table Calculation.
- LOD expressions.
LOD Problem Sets & Hands on
- Tackle complex scenarios by using LOD expressions.
- Use Case I – Count Customer by Order.
- Use Case II – Profit per Business Day.
- Use Case III – Comparative Sales.
- Use Case IV – Profit Vs Target
- Use Case V – Finding the second order date.
- Use Case VI – Cohort Analysis
- Box and Whisker’s Plots
- Gantt Charts
- Waterfall Charts
- Pareto Charts
- Control Charts
- Funnel Charts
- Extensive hands-on on the above topics
Integrating Tableau with R and Hadoop
- You will know the basics of Big Data, Hadoop, and R.
- You will discuss the integration between Hadoop and R and will integrate R with Tableau.
- In addition, you will get to publish your workbook on Tableau Server.
- Introduction to Big Data
- Introduction to Hadoop
- Introduction to R
- Integration among R and Hadoop
- Calculating measure using R
- Integrating Tableau with R
- Integrated Visualization using Tableau
- Installing Rserve package in R
- Integrating Tableau and R
- Publishing your workbook on Tableau Server.