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Spotfire Training in OMR Chennai
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- Spotfire Training in OMR Chennai
TIBCO Spotfire is data analytics software invented for data analysis. It helps an organization in analytics software and data visualization that quickly uncover insights for better decision making. It performs functions with the help of a streamlined power and design. It enables to discover and analyze complex insights in data that drive real value. It’s specifically architect for the analytical person.
Tibco Spotfire Training, Despite most companies’ investments in business intelligence (BI), when business users need to answer new questions and analyze new data, they often resort to copying data into spreadsheets or are forced to wait for new reports from IT. Meanwhile, IT professionals are hard-pressed to keep up with end users’ demands, especially given corporate mandates to reduce costs and enforce data relevance and security.
About The Trainer
Karthik has delivered customised training courses for many of the world’s best-known brands – and would be happy to consider delivering training for your business, too.
We will cover all major business and technology trends, including Big Data, Machine Learning, the Internet of Things (IoT), Artificial Intelligence (AI), Augmented Reality, Blockchains, Virtual Reality (VR) and robotics, the sharing economy, the rise of platform business models, crowd sourcing, and the ‘as a service’ business model.
Flexible Timings / Weekend classes Available.
Talk to the Trainer @ +91-8939915577
Spotfire Training Course Content
Spotfire Course Description
The Main Objectives of the Course is :
- Fundamentals and introduction to TIBCO Spotfire.
- Learning the usage and introduction of Spot fire client.
- Create various charts and filters data organization and analysis.
- Learn all about Spotfire, the tools, features and processes.
- Get an idea about IronPython Scripting.
- Using IronPython learn to create frameworks, platforms and data forms.
- Learning how to turn the data into knowledge.
- Access data from different sources.
- Get a proper understanding of ways to use Spotfire server and applying controls on the visualizations.
- Understand ways to modify Visualization using Spotfire server.
- How to configure interactivity through marking and filtering ?
- Acquiring knowledge on different ways of visualizing data.
- Learning how to enabler users in utilizing analytical capabilities.
- Learning to leverage the existing analytical investments as well as skills in improving the decision making process of the organization.
- Understand the real meaning of Spot fire, along with working and ways to import data from current Excel.
- Learning some of the basic and advanced levels of visualization techniques, relating to dashboards.
Tibco Spotfire Course Curriculum
Learning Objects: In this session we will learn about, the introduction to spotfire.
Topics include: Why We use Sportfire?, What does Sportfire Do?, Who is the Spotfire user?
Practicals to be covered: In this practical class we will discuss about, uses of spotfire.
Learning Objects: In this module we will learn about, the basics of spotfire.
Topics Include: Spotfire Basic skills, Visualizations, Performing Data Filtering, Data DrillDown, Underlying Data, Expected Format of a data table.
Practicals to be covered: In this practical session we will discuss more about, Loading Data using an information link.
Learning Objects: In this section we will learn about, Properties of Tables, Bar Charts and Line Charts, Interpreting Bar Chartsand Line Charts.
Topics include: General Visualizations Features, Adjusting Properties, Underlying data, Coloring, Trellis Visualizations.
Practicals to be covered: In this practical class we will discuss about, properties of data visualizations
Learning Objects: In this following section we will learn about, filters in spotfire.
Topics include: Types of Filters, Changing Filter Types, Filtering Display Options, Filters Organization, Filtering Schemes, DrillDown.
Practicals to be covered: In this practical class we will discuss about, in detailed features of filter.
Learning Objects: In this section we will learn about, items that are highlighting.
Topics Include: Marking Data, Details On Demand, Visualizations, Multiple Markings.
Practicals to be covered: In this practical class we will discuss about, marketing data in multiple ways.
Learning Objects: In this section we will learn about, how to save and export a file.
Topics include: Saving a Spotfire file, Exporting Data From Spotfire, Exporting Visualizations From Spotfire.
Practicals to be covered: In this practical class we will gain Hands On, exporting the data and visualizations from spot fire.
Learning Objects: In this following section we will learn more types of visualizations.
Topics include: Combination Charts, Introduction to Combination Chart, Properties of Combination Chart, Using Combination Charts.
Practicals to be covered: In this practical class we will discuss about, techniques of visualizations.
Learning Objects: In this session we will learn about, introduction of scatter plots.
Topics include: Introduction to Scatter Plot, Properties of Scatter Plot, Using Scatter Plots, Introduction to 3D Scatter Plots, Properties of 3D Scatter Plot, Using 3D Scatter Plots.
Practicals to be covered: In this practical class we will discuss about, various properties of scatter plots.
Learning Objects: In this module we will learn about, introduction of pie charts.
Topics include: Introduction to PIE Chart, Properties of PIE Chart, Using PIE Charts.
Practicals to be covered: In this practical class students will gain knowledge on using pie charts.
Learning Objects: In this module we will learn about, summary Tables
Topics include: Summary Table Introduction, Summary Table Properties, Using Summary Tables.
Practicals to be covered: In this practical class we will discuss about properties of summary tables.
Learning Objects: In this section we will learn about the introduction of cross Tables.
Topics include: Introduction to Cross Table, Cross Table Properties, Using Cross Tables.
Practicals to be covered: In this practical class we will talk more about, the use of cross tables.
Learning Objects: In this module we will learn about, introduction of Graphical tables.
Topics Include: Introduction to Graphical Tables, Graphical Table Properties, Using Graphical Tables.
Practicals to be covered: In this practical class students will learn about, properties of graphical tables.
Learning Objects: In this module we will learn about, breif introduction of MAP Charts.
Topics include: Introduction to Map Chart, Map Chart Properties, Using Map Charts.
Practicals to be covered: In this practical class students will learn about, properties of Map Charts.
Learning Objects: In this section we will learn about, breif introduction of parallel coordinate plot.
Topics include: Introduction to Parallel Coordinate Plot, Parallel Coordinate Plot Properties, Using Parallel Coordinate Plots.
Practicals to be covered: In this practical class we will discuss about, managing properties of parallel plot.
Learning Objects: In this section we will learn about, Tree Maps in Tibco Spotfire.
Topics include: Introduction to Tree Map, Tree Map Properties, Using Tree Maps.
Practicals to be covered: In this practical class we will discuss more about, using of Tree Maps.
Learning Objects: In this session we will learn about, Box Plots in Tibco Spotfire.
Topics include: Introduction to Box Plot, Box Plot Properties, Using Box Plots.
Practicals to be covered: In this practical class we will discuss about, using of Box plots.
Learning Objects: In this session we will learn about, Heat Maps.
Topics include: Introduction to Heat Map, Heat Map Properties, Using Heat Maps.
Practicals to be covered: In this practical class we will talk more about using Heat Maps.
Learning Objects: In this module we will learn about, introduction of coloring.
Topics include: Color Modes, Color Break Points, Color Rules, Coloring In Tables, Cross Tables and Heat Maps.
Practicals to be covered: In this practical class we will discuss about, coloring in Box Plots, Heat Maps, Cross Tables.
Learning Objects: In this module we will learn about, more coloring features.
Topics include: Adding Data To An Existing Analysis, Adding New Rows to a Data Table, Adding New Columns to a Data Table, Adding New Data Tables, Transformations, Pivot, UnPivot.
Practicals to be covered: In this practical class we will discuss about, adding more features for data tables.
Learning Objects: In this session we will learn about, calculation and replacement of a column.
Topics include: Calculate New Column, Change Column Names, Change Data Types, Data Function, Exclude Columns, Preview, Formatting Numbers, Short Number Format.
Practicals to be covered: In this practical class we will gain knowledge on features of data tables like formatting, replacing etc.
Learning Objects: In this session we will learn about, how to handle multiple data tables.
Topics include: Selecting a Data Table, Filters Panel With Multiple Data Tables.
Practicals to be covered: In this practical class we will discuss about, multiple features of Data Tables in Tibco Spotfire.
Learning Objects: In this session we will learn about, filtering data options.
Topics include: Bundling Data, Data Binning, Auto Binning, Binned Column, Using Tags, Using Lists, Capturing Your Analysis.
Practicals to be covered: In this practical class we will discuss about, using of filtering data.
Learning Objects: In this section we will learn about, Book Marks in Tibco Spotfire.
Topics include: Adding and Applying Bookmarks, Sharing Bookmarks.
Practicals to be covered: In this practical class we will discuss about, adding and sharing of Book Marks.
Learning Objects: In this section we will learn about, more information from raw data.
Topics include: Calculated Columns, Custom Expressions, Similarity Between Custom Expressions And Aggregation methods, The Slicing, Markers.
Practicals to be covered: In this practical class we will discuss about, Calculations and similarities between raw data.
Learning Objects: In this module we will learn about, applications of custom expressions.
Topics include: Basic Syntax Rules, Over Expressions, Over In Calculated Columns, Over in Custom Expressions, Terms To Use in Over Expressions.
Practicals to be covered: In this practical class we will talk more about, Over rules of custom expressions.
Learning Objects: In this sesstion we will learn about, Node Navigation methods.
Topics include: ALL(), PREVIOUS(), NEXT(), ALLPREVIOUS(), ALLNEXT(), PARENT(), INTERSECT(), PREVIOUSPERIOD(), NEXTPERIOD(0, LASTPERIOD(), PARALLESPERIOD(), NODE NAVIGATIONS EXAMPLES, SYNTAX-RULES, IF(), CASE(), DATETIMENOW(), CONCATENATE(), RANK() AND DENSERANK(), MAX() AND MIN()
Practicals to be covered: In this practical class we will discuss about, usage of navigaation methods.
Learning Objects: In this session we will learn about, AS Statements in Tibco Spotfire.
Topics include: Nest And Cross Statements, Multiple Over Statements.
Practicals to be covered: In this practical class we will discuss about, multiple statements in Tibco Spotfire.
Learning Objects: In this module we will learn about, limitations and visualizations of data.
Topics include: Limiting Data Using Markings, Limiting Data Using Filtering’s, Limiting Data Using Expressions.
Practicals to be covered: In this practical class students will learn about, limiting techniques of data visualizations.
Learning Objects: In this session we will learn about, introduction of data table documents.
Topics include: Column Properties, Data Table Properties, Document Properties, Error Bars.
Practicals to be covered: In this practical class we will talk more about the properties of data table document.
Learning Objects: In this module we will learn about, Horizontal And Vertical Lines, Avg. and Standard Deviations.
Topics include: Curve Draw, Curve From Data Table, Line From Column Values, Straight Line Fit, Polynomial Curve Fit, Logistic Regression Curve Fit, Power Curve Fit, Logarithmic Curve Fit, Exponential Curve Fit.
Practicals to be covered: In this practical class we will discuss about, Gaussian Curve Fit, Lines & Curves Examples.
Learning Objects: In this session we will learn about, statistical tools in Tibco Spotfire.
Topics include: Data Relationships, Line Similarity, Correlation Similarity, Euclidean Distance, Performing a Line Similarity Calculation.
Practicals to be covered: In this practical class students will gain knowledge on various statistical tools.
Learning Objects: In this session we will learn about, Creating an information link and Adding Element to the information link.
Topics include: Specifying Join Paths, Adding Filters and Prompts, Specifying Conditioning, Showing Parameters, Specifying Properties, Saving the Information Link, Viewing and editing SQL Paths.
Practicals to be covered: In this practical class we will cover about, Opening Data Using an Information Link.
Learning Objects: In this module we will learn about, loading data on demand.
Topics include: Sharing Analysis, Distribution of Analysis, Data Access Options.
Practicals to be covered: In this practical class we will talk more about, sharing and distribution of data.
Learning Objects: In this module we will learn about, Adding Filter Controls, Adding Action Controls, Adding Property Controls, Adding Dynamic Items.
Topics include: Authoring Tips, Naming, Hiding Unnecessary Information, Dashboards, Using a Spotfire file as a template, Using the collaboration panel, Using Information links as templates, Publishing Analysis to TibcoSpotfire Web Player, Saving To the Library.
Practicals to be covered: In this practical class we will discuss about, Web Player User Interface in Tibco Spotfire.
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