Lesson 1: 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
o Data Visualization
o Introducing Tableau 10.0
o Establishing Connection
o Joins and Union
o Data Blending
Lesson 2: Visual Analytics
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
o Managing Extracts
o Managing Metadata
o Visual Analytics
o Data Granularity using Marks Card
o Introduction to basic graphs
Lesson 3 :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.
o Graphical Visualization
Lesson 4: 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
o Trend Lines.
o Reference Lines.
Lesson 5: 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.
o Introduction to Dashboard.
o Creating a Dashboard Layout.
o Designing Dashboard for Devices.
o Dashboard Interaction - Using Action.
o Introduction to Story Point.
Lesson 6: Mapping
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.
o Introduction to Maps.
o Editing Unrecognized Locations.
o Custom Geocoding.
o Polygon Maps.
o Web Mapping Services.
o Background Images.
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.
o Introduction to Calculation : Number Functions, String Functions , Date Functions, Logical Functions, Aggregate Functions.
o Introduction to Table Calculation.
o Introduction to LOD expression : Fixed LOD , Included LOD, Excluded LO
Lesson 8: LOD Problem Sets & Hands on
Tackle complex scenarios by using LOD expressions.
Lesson 9: Charts
Plot various types of Charts using Tableau 10 and have extensive hands-on on industry use cases.
o Box and Whisker's Plots
o Gantt Charts
o Waterfall Charts
o Pareto Charts
o Control Charts
o Funnel Charts.
Lesson 10: 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.
o Introduction to Big Data
o Introduction to Hadoop
o Introduction to R
o Integration among R and Hadoop
o Calculating measure using R
o Integrating Tableau with R
o Integrated Visualization using Tableau.