Qlikview, Tableau, Spotfire Training
Intellipaat
Course Summary
Our QlikView, Tableau, Spotfire master program will let you gain proficiency in these three business intelligence tools. You will work on real life industry projects in data visualization, interactive dashboard, multivariate analysis, data aggregation, blending and reporting.
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Course Description
About Course
Master data visualization and dashboard creation by learning QlikView, Tableau and Spotfire at one time
This is a Combo Training Course that provides a great opportunity to learn some of the top Business Intelligence tools available in the market today. It has been designed taking into consideration the specific needs of the industry. Work among other things with QlikView Objects and Charts, Tableau Filters and Graphs, Spotfire Workflow Automation services and Frameworks.
What you will learn in this Training Course?
- Introduction to Business Intelligence tools
- Architecture of QlikView, Tableau and Spotfire tools
- Use QlikView to read data from Tables
- Create data visualization using Tableau
- Work with Spotfire to create interactive dashboards
- Distinguish Chart level and Script level functions
- Study the technique of IronPython scripting
- Understand data aggregation and data blending
- Use various computation tools and multivariate analysis
- Work on real-time project for hands-on experience.
Who should take this Training Course?
- Business Intelligence Professionals and ETL Developers
- SQL Developers, Database Architects and Mainframe Professionals
- Analytics and Testing professionals
What are the prerequisites for taking this Training Course?
A basic knowledge of database and SQL is an added advantage but not mandatory.Why should you take this Training Course?
This Combo Training Course includes the top three business intelligence tools in the market today. Having a master over these three tools can definitely help you in your career. You will be able to visualize data and interpret the meaning from large data sets using a combination of these three tools. Your career will never be the same again with companies ready to pay top dollars for the unique skill set that you possess.
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Course Syllabus
Qlikview Course Content
Introduction to QlikviewIntroduction to the concepts of Business Intelligence, learning about QlikView, the unique features of QlikView that make it the market leader, comparison to other BI tools, the complete overview and architecture of QlikView, studying the various file types and extensions.Qlikview ProductsLearning about the various QlikView products, understanding about the QlikView Desktop, Server, Access Point, Publisher, the Management Console and NPrinting reporting platform.Hands-on Exercise – Practice QlikView Desktop, Server, Access Point, Publisher, the Management Console and NPrinting reporting platform.Introduction to Data and ScriptingUnderstanding the data warehouse architecture, the concept of dimensional model, fact tables and dimensions, learning about Star and Snow Flake schema, QlikView data model comparison to other data models, understanding the data source files.Hands-on Exercise – Understanding the data warehouse architecture, the concept of dimensional model, fact tables and dimensions, learning about Star and Snow Flake schema, QlikView data model comparison to other data models, understanding the data source files.Loading Data From The DataBaseLearning about loading data from various databases, generating script, loading of text files, delimited text files, loading data from multiple data sources, various types of data loads like incremental, binary, resident, buffer, preceding, mapping load types, understanding how to load inline table, generic tables, media content and image inclusion, web page data loading, semantic load, various examples to simplify the concepts.Hands-on Exercise – Load data from a database, Generat script, Load a delimited text file, Load data from excel file, Load inline table, generic tables, media content,Include image, Load a web page dataStructuring the ScriptLearning to create tabs in the scripts, debugging of scripts, inclusion of variables and comments in the scripts.Hands-on Exercise – Create tabs in the scripts, debug a script, Include variables and comments in the scripts.Basic Data Model and Table ViewerUnderstanding the basic data model of QlikView, learning to work with the Table Viewer, the System Table and System fields.Hands-on Exercise – Work with the Table Viewer, the System Table and System fields.Data RelationshipsIntroduction to the various data relationships – Join, Concatenation, Join, and the different options available in each.Hands-on Exercise – Use Join, ConcatenationData Modelling ConsiderationsThe rules of data modeling in QlikView, introduction to circular references, synthetic key tables, resolving synthetic keys and circular references.Hands-on Exercise – Resolve synthetic keys and circular referencesQlikview Data (QVD) FilesUnderstanding what is QVD file in QlikView, the way to create QVD file, the standard structure of a QVD file, its various components, the various types and uses of QVD files, learning what is optimized and unoptimized load.Hands-on Exercise – Create QVD fileCreating a Master CalendarCreating a master calendar in QlikView, extracting the highest and lowest data, deploying scripts to create variables, working with arbitrary date ranges.Hands-on Exercise – Create a master calendar in QlikView, Extract the highest and lowest data, Deploy scripts to create variables, Work with arbitrary date rangesQlikview SecurityUnderstanding the various concepts of QlikView security, defining the access controls, levels of access, maintaining the access control database, section access addition and other concepts.Hands-on Exercise – Create the access controls rules, Create different levels of access, Access and Edit the access control databaseHandling Null ValuesThe various types of null values in QlikView and the different methods to handling them.Hands-on Exercise – Handle null values in QlikViewSheets and Sheet ObjectsWorking with QlikView sheets and sheet objects, learning about the sheet basics, cross tables, the data transformation in QlikView, transposing a physical table.Hands-on Exercise – Perform a data transformation in QlikView, Transpose a physical table.The List BoxUnderstanding a list box, most basic sheet object, the various actions in List Box, its properties, the example of a list box.Hands-on Exercise – Use a list box and assign actions to itThe Table BoxA sheet object that shows several fields simultaneously, learning to create a table box, sorting in table box, understanding table box formatting options, printing the data from table box, exporting to a text file.Hands-on Exercise – Create a sheet object that shows several fields simultaneously, Create a table box, Sort data in table box, Format data in a table box, Print the data of table box, Export data to a text file.The Multi BoxRepresentation of value from multiple fields, learning to create a multibox, the various selection features, formatting and resizing of multiboxes.Hands-on Exercise – Create a multibox, Select data using different criteria, Format and Resize a multiboxeThe Button & Text ObjectWorking with text and button objects, learning to create them, formatting, resizing, copying and moving of text objects, understanding of action scripts in button and text objects.Hands-on Exercise – Create text and button objects, Format, Resize, Copy and Move text objects, Run action scripts in button and text objectsChartsLearning the basics of QlikView Charts, graphical representation of numerical data, various types of charts like bar, pie, grid, funnel, combo, learning to create charts, selections in charts and exporting of charts.Hands-on Exercise – Plot charts like bar, pie, grid, funnel, combo, Make selections in charts and export chartsMulti Dimensional Charts, Pivot TablesIntroduction to multidimensional charts, setting up multiple expressions in straight table and pivot table, learning about straight table and pivot table, table box and deploying visual cues.Hands-on Exercise – Plot multidimensional charts, Set up multiple expressions in straight table and pivot table, Deploy visual cuesGaugesLearning about Gauge Chart in QlikView, the various types of Gauges, understanding how to build Gauges, the various types of Gauge Charts.Hands-on Exercise – Build Gauge chart in QlikViewThe Other Sheet ObjectsIntroduction to the other sheet objects like Statistics Box, Slider/Calendar Object, Current Selections Box, Bookmark Object, Container Object, and Input Box.Hands-on Exercise – Create sheet objects like Statistics Box, Slider/Calendar Object, Current Selections Box, Bookmark Object, Container Object, and Input BoxAdditional Editing in The LayoutThe additional editing like settings of type legend, title, fast change chart type, text in chart and reference lines, caption settings and drilldown, cyclic functionality.Hands-on Exercise – Set up type legend, title, captionsUses Of ExpressionsLearning about the various expressions like chart attribute, colour, working with calculated fields, labels, and dynamic text in text objects, calculated fields and dimensions in list boxes and charts.Hands-on Exercise – Create chart attributes, Assign colour, Work with calculated fields,Create dynamic text in text objectsThe Settings MenuLearning about the settings menu in QlikView, the various options like user preferences, document properties and sheet properties.Hands-on Exercise – Use settings menu in QlikView to set user preferences, document properties and sheet propertiesQlikview FunctionsThe various QlikView functions like ApplyMap, Lookup, Previous, Value List, Interval Match, Class, Value Loop, Peek, Pick, Match, Wild Match, Statistical Functions,Range Functions, etc.Hands-on Exercise – Use functions ApplyMap, Lookup, Previous, Value List, Interval Match, Class, Value Loop, Peek, Pick, Match, Wild Match, Statistical Functions,Range FunctionsAdhoc Reports and BookmarksLearning about ad hoc report creation and editing, introduction to QlikView bookmarks, the various types of bookmarks, creating and managing bookmarks.Hands-on Exercise – Create ad hoc report, Edit the report, Create and manage bookmarksLayout ThemesUnderstanding QlikView themes, creating, applying and working with dynamic themes.Hands-on Exercise – Create, apply and work with dynamic themesExtensionsLearning about QlikView extensions, visualizing of data with extensions, creating a simple HTML extension, HTML table, working with interactive extensions and external libraries with extensions.Hands-on Exercise – Use QlikView extension for data visualization, Create a simple HTML extension, Work with interactive extensionsSet AnalysisUnderstanding set analysis, defining data values that are different from set definition, working with modifiers, identifiers, operators, example of expressions, indirect set analysis, YTD & MTD and rolling 12 months, various examples.Hands-on Exercise – Work with modifiers, Identifiers, Operators, Expressions, Implement YTD & MTD and rolling 12 monthsAlternate StatesUnderstanding alternate states for performing comparative analysis on sets of multiple data items, working with market basket analysis, examples of various alternate states.Hands-on Exercise – Perform comparative analysis on sets of multiple data items, Do market basket analysisWhat-IF AnalysisUnderstanding what-if analysis in QlikView, working on creating variables, slider objects, assigning variables to sheet and slider objects.Hands-on Exercise – Do what-if analysis in QlikViewServer Installation & DeploymentThe process of installation, various types of licenses, types of CALS, learn to deploy the application on the server, working with server bookmarks, annotations.Hands-on Exercise – Deploy an app on the serverTableau Course Content
Introduction to Data Visualization and Power of TableauWhat 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 TableauArchitecture of TableauInstallation 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 workWorking with Metadata & Data BlendingConnection 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 sourcesCreation of setsMarks, 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 setWorking with FiltersFilters (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 resultOrganizing Data and Visual AnalyticsFormatting 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 datasetWorking with MappingCoordinate 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 WMSWorking with Calculations & ExpressionsCalculation 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 ExpressionsWorking with ParametersCreate 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 chartsCharts and GraphsDual 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 datasetDashboards and StoriesBuild 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, descriptionIntegration of Tableau with R and HadoopIntroduction 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 dataSpotfire Course Content
TIBCO Spotfire IntroductionThe basics of TIBCO Spotfire, data visualization and analytics software, various Spotfire features, Data Filtering, Data drill-down, data loading, data table format, statistical representation of data, Web Player for analytics report, importing data from Excel, data types, data visualization techniques, Spotfire Dashboard, working with Bar Charts.
Spotfire Data Table & Data SourcesWorking with Data Tables, data sourcing, fetching data from databases, properties of Data Table, relations in data table and column matching, data table filters, settings and filter schemas, Calculated, Binned and Hierarchy Column creation.
Spotfire Data VisualizationVisualizing data to exploring, analyzing and discovering insights, understanding the concepts of Coloring, Trellis Visualization, bar chart, combination chart and line chart, working with Zoom Slider, and Cross-table Visualization, Column Selectors.
Advanced Visualization & AnalysisIn-depth understanding of Spotfire visualization techniques, advanced color coding concepts, analyzing data, working with tags, lists, bars and data labels, understanding the various techniques of Pie Chart, Tree Map and Scatter Plot.
Spotfire Server FeaturesImportance of Spotfire Server for Deployment, Library and Information services, working with Spotfire Expressions, Labels, Charts, Schemas, understanding of Heat Map, Dendograms.
Deep Dive into Data Analysis and OrganizationThe scope of Spotfire Professional, data access, visualization and analysis, working with input filter, property control dialogue for changing settings in visualization, custom expressions, deploying Action control and Dynamic items, Spotfire Dashboard features, data filtering, filter schemas, analysis techniques like Box plot, Pareto chart and Combination chart.
Spotfire AdministrationSpotfire installation, administration and maintenance, deloying information designs and information links and joins, personalization, working with Web Player DXP, Spotfire authorization, authentication and security.
Predictive Analytics- Map VisualizationMap Visualization, Forcasting, Text Area Features, Upload and Store data to Library, Drag and Drop of Visualization, Application of Profiler.
Spotfire Visual InsightsVisual Appearance, Recommendations, Mark from Legend, Data Panel, Interacting Grouping of Categories, Data Connector, Data Profiler, Collaboration.
Qlikview ProjectsProject 1 – QlikView Dashboard creation using 3 principles of DAR
Objective – This project involves understanding the concepts of the QlikView Dashboard, Analysis, Reporting (DAR) methodology to creating and building of QlikView applications. This way you can reuse your earlier QlikView Worksheets with minimal changes thus saving you time and effort. You will have hands-on experience in designing the Dashboard, creating Analysis Page and ultimately develop the QlikView Reports with DAR implementation. You will learn about the business overview, deploying user-driven controls for data filters and reporting of specific details in this QlikView Dashboard project.
Project 2
Domain – Human ResourceObjective – To see the current values of salaries in one column and historical values in another cell in a mini chart that would contain a bar chart and a trend chart
Project 3
Domain – HealthcareObjective – Visual Mapping between Vaccination rate and Measles outbreak
Tableau ProjectsProject 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.- Map should be plotted at Block site address level
- Show the Offense, Location and Date of Crime occurrence.
- Show the Number of incidents and frequency in percentage for each type of crime happened(Offense)
- Show each incident happened every month by week and weekday and by offense type
- The dashboard should have Crime type and District filters which will be applicable to all three sheets in the dashboard
- An action from Map should filter out the other two sheets accordingly
- 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
Spotfire ProjectProject – IronPython
Data – Sales
Topics – This project is involved with creating IronPython script for Spotfire platform. You will start with the basics of implementing the IronPython scripting like importing classes for the visualization. In this sales project you will learn about the various operations and tools in IronPython scripting, creating data forms, collaboration platforms in Spotfire, framework for workflow, automating services all using the IronPython scripting.