About the Course
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.
Goal : Give a brief idea of data visualization and introduce Tableau 10
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
Topics:Data Visualization, Introducing Tableau 10.0, Establishing Connection,Joins and Union
Goal : Learn to manage your dataset and analyze things visually with the help of Marks Card and “highlighting” feature.
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, Highlighting, Introduction to basic graphs
Goal : This module presents to you the granular content of Visual analytics, covering various techniques to perform sorting, filtering and grouping on the dataset.
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.
Sorting, Filtering, Grouping, 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
Sets, Forecasting, Clustering, Trend Lines, Reference Lines, Parameters
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 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.
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 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
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[/vc_column_text][/trx_list_item].
This is an online course. Student can join from anywhere in the world. Every student will get dedicated Trainer. Live, Hands on Classes via Remote InstructorWatch our Demo Classes