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Tableau Training and Certification - Tableau 10 Desktop

Course Summary

Intellipaat Tableau training will help you master building interactive tableau dashboards and learn data visualization. This course with prepare you for Tableau Desktop Qualified Associate Certification exam. In this training you will also learn Tableau desktop and public integration with R & Big data. It is best suited for software developers, BI professionals, system and IT administrators.

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    Course Syllabus

    Tableau Course Content

    Introduction to Data Visualization and Power of Tableau
    What is data visualization, Comparision and benefits against reading raw numbers, Real usage examples from various business domains, Some quick powerful examples using Tableau without going into the technical details of Tableau
    Architecture of Tableau
    Installation of Tableau Desktop, Architecture of Tableau, Interface of Tableau (Layout, Toolbars, Data Pane, Analytics Pane etc), How to start with Tableau, Ways to share and exporting the work done in TableauHands-on Exercise – Play with the tableau desktop, interface to learn its user interface, Share an existing work, Export an existing work
    Working with Metadata & Data Blending
    Connection to Excels, PDFs and Cubes, Managing Metadata and Extracts, Data Preparation and dealing with NULL values, Data Joins (Inner, Left, Right, Outer) and Union, Cross Database joining, Data BlendingHands-on Exercise – Connect to an excel sheet and import data, Use metadata and extracts, Handle NULL values, Clean up the data before the actual use, Perform various join techniques, Perform data blending from more than one sources
    Creation of sets
    Marks, Highlighting, Sort and Group, Working with Sets (Creation of sets, Editing sets, IN/OUT, Sets in Hierarchies)Hands-on Exercise – Create and edit sets using Marks, Highlight desired items, Make groups, Applying sorting on result, Make hierachies in the created set
    Working with Filters
    Filters (Addition and Removal), Filtering continuous dates, dimensions, measures, Interactive FiltersHands-on Exercise – Add Filter on data set by date/dimensions/measures, Use interactive filter to views, Remove some filters to see the result
    Organizing Data and Visual Analytics
    Formatting Data (Labels, Annotations, Tooltips, Edit axes), Formatting Pane (Menu, Settings, Font, Alignment, Copy-Paste), Trend and Reference Lines, Forecasting, k-means Cluster Analysis in TableauHands-on Exercise – Apply labels, annotations, tooltips to graphs, Edit the attributes of axes, Set a reference line, Do k-means cluster analysis on a dataset
    Working with Mapping
    Coordinate points, Plotting Longitude and Latitude, Editing Unrecognized Locations, Custom Geocoding, Polygon Maps, WMS: Web Mapping Services, Background Image (Add Image, Plot Points on Image, Generate coordinates from Image)Hands-on Exercise – Plot latitude and longitude on geo map, Edit locations on the map, Create custom geocoding, Use images of a map and plot points on it, find coordinates in the image, Create a polygon map, Use WMS
    Working with Calculations & Expressions
    Calculation Syntax and Functions in Tableau, Types of Calculations (Table, String, Logic, Date, Number, Aggregate), LOD Expressions (concept and syntax), Aggregation and Replication with LOD Expressions, Nested LOD Expressions
    Working with Parameters
    Create Parameters, Parameters in Calculations, Using Parameters with Filters, Column Selection Parameters, Chart Selection ParametersHands-on Exercise – Create new parameters to apply on a filter, Pass parameters to filters to selet columns, Pass parameters to filters to select charts
    Charts and Graphs
    Dual Axes Graphs, Histogram (Single and Dual Axes), Box Plot, Pareto Chart, Motion Chart, Funnel Chart, Waterfall Chart, Tree Map, Heat Map, Market Basket analysisHands-on Exercise – Plot a histogram, heat map, tree map, funnel chart and others using the same data set, Do market basket analysis on a given dataset
    Dashboards and Stories
    Build and Format a Dashboard (Size, Views, Objects, Legends and Filters), Best Practices for Creative and Interactive Dashboards using Actions, Create Stories (Intro of Story Points, Creating and Updating Story Points, Adding Visuals in Stories, Annotations with Description)Hands-on Exercise – Create a dashboard view, Include objects, legends and filters, Make the dashboard interactive, Create and edit a story with visual effects, annotation, description
    Integration of Tableau with R and Hadoop
    Introduction to R Language, Applications and Use Cases of R, Deploying R on Tableau Platform, Learning R functions in Tableau, Integration with HadoopHands-on Exercise – Deploy R on tableau, Create a line graph using R interface, Connect tableau with Hadoop and extract data
    Tableau Projects
    Project 1 – Tableau Interactive DashboardData Set – SalesObjective – This project is involved with working on a Tableau dashboard for sales data. You will gain in-depth experience in working with dashboard objects, learn about visualizing data, highlight action, and dashboard shortcuts. With a few clicks you will be able to combine multiple data sources, add filters and drill down specific information. You will be proficient in creating real time visualizations that are interactive within minutes.Upon completion of this project you will understand how to create a single point of access for all your sales data, ways of dissecting and analyzing sales from multiple angles, coming up with a sales strategy for improved business revenues.
    Project 2Domain – Crime Statistics (Public Domain)Objective –The Project aims to show the types of crimes and their frequency that happen in the District of Columbia. Also to provide the details of the crimes like, the area/location and day of the week the crime has happenedProblem statement :Police departments are often called upon to put more “feet on the street” to prevent crime and keep order. But with limited resources, it’s impossible to be everywhere at once. This visualization shows where crimes take place by type and which day of the week. This kind of information gives local police more guidance on where they should deploy their crime prevention efforts.
    1. Map should be plotted at Block site address level
    2. Show the Offense, Location and Date of Crime occurrence.
    3. Show the Number of incidents and frequency in percentage for each type of crime happened(Offense)
    4. Show each incident happened every month by week and weekday and by offense type
    5. The dashboard should have Crime type and District filters which will be applicable to all three sheets in the dashboard
    6. An action from Map should filter out the other two sheets accordingly
    7. An action from tree map and bar chart should highlight the remaining two sheets according to the selection
    Project 3Domain – HealthcareObjective –Visual Mapping between Vaccination rate and Measles outbreakProblem statement :
    • Plot measles outbreaks depending on the coverage of population
    • Plot measles infection cases before 1st dose, between 1st and 2nd dose and after the 2nd dose of measles vaccination
    • Plot the correlation between immunity when vaccination coverage is high within schools
    • Plot correlation between poor urban areas which were not vaccinated at high rate and other areas which were vaccinated properly
    Lab Environment : Tableau Desktop (Better to use latest version which is 10.3 or any version later 10.0 will also have the impact)

Course Fee:
USD 165

Course Type:


Course Status:



1 - 4 hours / week

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