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Tableau Course

Online Classes : 30 Hours


Reviews :  


Assignment : 40 Hours


Project : 20 Hours


Access : Lifetime Access


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Course Price: INR 19,995.00

Tableau Introduction

Weekend Batches


# Starts
1 17th Dec 2016 Buy Now
2 24th Dec 2016 Buy Now
3 14th Jan 2017 Buy Now
4 28th Jan 2017 Buy Now

Data Visualization and Introduction to Tableau

Course Contents

Objective: In this module, you will learn about Data Visualization and Introduction to Tableau.

Topics:Why is Data Visualization needed, How to analyse data, Uses of Tableau, Installation of Tableau, Architecture of Tableau, Features of Tableau

Objective: In this module, you will learn to connect to the databases and make basic charts and graphs.

Topics:Exporting Data, Connecting Sheets, Loading into Tableau visualization engine, Basic visualizations like Text Tables, Bar, Line, Pie charts, Basic maps and interpreting the same

Objective:In this module, you will learn to make Advance Charts and Graphs.

Topics:Highlight Tables, Heat Maps, Circle Plots, Side by Side Bars, Basic maps and interpreting the same

Objective:In this module, yo will learn scripting functionality and organizing data for effective results.

Topics: Calculated Metrics: Sorting, Filtering, Totals and Sub Totals, Various Aggregated Measures, Percentages, Data Spotlighting, Summary Card, Functions: Date and time functions, String Functions and logical functions, Data Items, Data behind your views, Hierarchies, Sets, Groups, Bins

Objective: In this module, you will learn about advanced visualization.

Topics:Dual Charts, Dual Axis, Combination charts & Gantt Charts for activity tracking, Motion Charts, Box and Whisker Plots, Reference Lines, Reference Bands, Pareto Analysis, Water Fall Charts, Market Basket Analysis.

Objective: In this module, you will learn to create Time based calculations.

Topics:Quick Table Calculations, Custom Table Calculations, YTD, Parallel Period, Moving Averages, Running totals, Window Averages, Trend Lines and Predictive Models.

Objective:In this module, you will learn about location analytics capabilities to put geographic and other spatial context to your analysis.

Topics: Filled Maps, Symbol Maps, Geo Coding, Online Maps, Sorting in Maps, Background Maps.

Objective: In this module, you will learn how to blend and arrange your data from multiple source systems for effective analysis.

Topics: Data Blending from multiple source systems, Custom SQL Queries, Creating Incremental Loads, Creating File Extractions, Parameters.

Objective:In this module, you will learn Integration of Tableau with R and Hadoop, Statistical Analytics, and social media analytics.

Topics:Connect to Hadoop Systems from Tableau, Integrating Tableau with R, Connecting to R Serve Parameterized R calls, Mean, Median, & Mode, Standard Deviation, Forecasting Models, Adding YouTube videos.

Objective:In this module, you will learn how to work in real time environment on Tableau Projects.

Topics: Mini end-end project with Business case study, Interactive Dashboards, Action Filters, Story Boards, Best Practices, Cover Pages, Annotations, Tool Tips, keyboard short cuts, Legends, Sharing your work, Deploying to server, Tableau Online, Tableau Reader, Tableau Public.