Best Online Tableau Training Institute In Delhi (Noida).

Course Content

Module 1: Introduction to Data Visualization and The Power of Tableau • What is data visualization? • Comparison and benefits against reading raw numbers • Real use cases from various business domains • Some quick and powerful examples using Tableau without going into the technical details of Tableau • Installing Tableau • Tableau interface Module 2: Architecture of Tableau • Architecture of Tableau • Interface of Tableau (Layout, Toolbars, Data Pane, Analytics Pane, etc.) • Tableau field types • Saving and publishing a data source • Live vs extract connection • Various file types • The ways to share and export the work done in Tableau Hands-on Exercise: • Play with Tableau desktop • Learn about the interface • Share and export existing works Module 3: Charts and Graphs 3.1 Basic Charts • Histograms • Box plot • Motion • Pie • Bar • Line • Bubble • Bullet • Scatter • Tree • Heat maps • Maps • Text table • Highlighted table 3.2 Dual axes graphs • Pareto • funnel • Waterfall charts • Market basket analysis Hands-on Exercise: • Plot a histogram, tree map, heat map, funnel chart, and more using the given dataset • Perform market basket analysis (MBA) on the same dataset Module 4: Working with Metadata and Data Blending • Connecting to Data Source • Tableau data types • Connection to Excel • Cubes and PDFs • Management of metadata and extracts • Data preparation • Joins (Left, Right, Inner, and Outer) and Union • Dealing with NULL values, cross-database joining, data extraction, data blending, refresh extraction, incremental extraction, how to build extract, etc. • Advanced joins include data blending and cross database joining. Hands-on Exercise: • Connect to Excel sheet to import data • Use metadata and extracts • Manage NULL values • Clean up data before using • Perform the join techniques • Execute data blending from multiple sources Module 5: Advanced Data Manipulations • Mark and highlight • Groups • Constant, Computed and Combined Sets (creating and editing sets, IN/OUT) • Bins • Hierarchies • Folders • Sorting and Types • Using the Formatting pane to work with the menu, fonts, alignments, settings, etc. • Editing axes and annotations Hands-on Exercise: • Use marks to create and edit sets • Highlight the desired items • Make Groups • Apply sorting on results • Make hierarchies among the created sets Module 6: Working with Filters • Filters (addition and removal) • Filtering continuous dates, dimensions, and measures • Filtering in Tableau • Types of filters • Filtering the order of operations Hands-on Exercise: • Use the data set by date/dimensions/measures to add a filter • Use interactive filter to view the data • Customize/remove filters to view the result Module 7: Organizing Data and Visual Analytics • K-means cluster analysis • Trend and reference lines • Visual analytics in Tableau • Forecasting, confidence interval, reference lines, and bands Hands-on Exercise: • Apply labels and tooltips to graphs, annotations, edit axes’ attributes • Set the reference line • Perform k-means cluster analysis on the given dataset Module 8: Working with Mapping • Working on coordinate points • Plotting longitude and latitude • Editing unrecognized locations • Customizing geocoding, polygon maps, WMS: web mapping services • Working on the background image, including add image • Plotting points on images and generating coordinates from them • Map visualization, custom territories • How to create map projects in Tableau • Creating dual axes maps, and editing locations Hands-on Exercise: • Plot longitude and latitude on a geo map • Edit locations on the geo map • Custom geocoding • Use images of the map and plot points • Find coordinates • Create a polygon map • Use WMS Module 9: Working with Calculations and Expressions • Calculation syntax and functions in Tableau • Various types of calculations, including Table, String, Date, Aggregate, Logic, and Number • Levels of details: fixed level, lower level, and higher level  LOD expressions, including concept and syntax  Nested LOD expressions  Aggregation and replication with LOD expressions • Quick table calculations • The creation of calculated fields • Quick LODs Module 10: Working with Parameters • Creating parameters • Parameters in calculations • Using parameters with filters • Column selection parameters • Chart selection parameters • How to use parameters in the filter session • How to use parameters in the reference line Hands-on Exercise: • Creating new parameters to apply on a filter • Passing parameters to filters to select columns • Passing parameters to filters to select charts Module 11: Dashboards and Stories What is a dashboard? • Building and formatting a dashboard using size, objects, views, filters, and legends • Best practices for making creative as well as interactive dashboards using the actions • Creating stories  Including the intro of story points  Creating as well as updating the story points  Adding catchy visuals in stories • Adding annotations with descriptions; dashboards and stories • Highlight actions, URL actions, and filter actions • Selecting and clearing values • Dashboard examples using Tableau workspace and Tableau interface Hands-on Exercise: • Create a Tableau dashboard view, include legends, objects, and filters • Make the dashboard interactive • Use visual effects, annotations, and descriptions to create and edit a story Module 12: Tableau Prep • Introduction to Tableau Prep • How Tableau Prep helps quickly combine join, shape, and clean data for analysis • Creation of smart examples with Tableau Prep • Getting deeper insights into the data with great visual experience • Making data preparation simpler and accessible • Integrating Tableau Prep with Tableau analytical workflow Module 13: Integration of Tableau with R • Introduction to R language • Applications and use cases of R • The integration of Tableau with Hadoop Hands-on Exercise: • Deploy R on Tableau • Create a line graph using R interface