- 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
- 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
- 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
Goal : This module presents to you Visual analytics in a more granular manner thereby letting you to dive deep into the content. It covers various advanced techniques of analyzing data including, forecasting, trend lines, reference lines, clustering, parametrized concepts, and creating sets.
- 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.
Goal : Learn all about Dashboards and Stories in Tableau.
- 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.
Goal: This module helps you in understanding mapping in detail, editing unrecognized and ambiguous location, and creating customized geocoding. Learn about polygon map and Web Mapping Service, and finally, add background images with self-generated coordinates.
- Map the coordinates on the map, plot geographic data, and use a layered view to get the street view of the area.
- Edit the ambiguous and unrecognized location plotted on the map.
- Customize territory on 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.
Goal: This module will help you in creating basic calculations including string manipulation, basic arithmetic calculations, date math, logic statements and quick table calculations. Along with this, you will be also introduced to LOD expressions with the help of use cases.
- Perform Calculations using various types of functions such as Number, String, Date, Logical, and Aggregate.
- 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.
Goal: This module will explain the scenarios where you can implement LOD expressions. This is showcased with the help of a set of problems.
- 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
Goal : Plot various types of Charts using Tableau 10 and have extensive hands-on on industry use cases.
- Box and Whisker’s Plots
- Gantt Charts
- Waterfall Charts
- Pareto Charts
- Control Charts
- Funnel Charts
Goal: This module introduces you to the concept of Big Data, Hadoop, and R. You discuss the integration between Tableau and R and finally publish your workbook on Tableau Server.
- 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