Best Tableau Training In Bangalore
Analytics with Tableau
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* Course Id : DSCI-ATAB
* Duration : 35 Hours
Overview
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* This course is designed to introduce Tableau for data analytics
* Participants in the course will learn about the tool and use it to perform analysis on real world data
Training Objectives
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All attendees will learn:
* Skills to work with the Tableau tool
* Proficiency in the Tableau Desktop
* To work with dashboards, R connectivity with Tableau, web interface and server processes
* To analyze real world projects: Car Sales, Sports, Stock Market
* Understand Tableau Desktop,Tableau statistics and interactive dashboard
* Identify Tableau generated fields and special field types
* Charting with Spark line, Pareto, Gantt and Box plots in Tableau
* Learn about spatial analysis, formatting and annotations
* Understand data visualization and advanced concepts
* Learn about Tableau Interface and terminology
* Implement Data Aggregation and Data Blending
* Know about Tableau scripting APIs
* Work with disparate data sources
* Integrate Tableau with R programming
Pre-Requisites
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Basic knowledge on:
* Basic computer skills
* Analytical skills
* Ability to use a virtual machine on the cloud
* Fundamental SQL knowledge would be useful
Course Structure
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* We provide more focus on hands-on in our technical courses (typically 80% hands-on/20% theory)
* Students get the capability to apply the material they learn to real-world problems
Materials Provided
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* All participants receive
* PDF of slides
* PDF of handson
* Access to instance with lab environment
Software Requirements
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Any of the following
* Any current internet browser
* vnc client
* rdp client
Hardware Requirements
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* Processor: 1.2 GHz+
* RAM: 512 MB+
* Disk space: 1 GB+
* Network Connection with low latency (<250ms) to Internet
## Daywise Tableau Course Outline
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## Day 1
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* Unit 1 : Introduction to Tableau & Tableau Desktop
* Unit 2 : Architecture of Tableau
* Unit 3 : Working with Metadata & Data Blending
## Day 2
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* Unit 4 : Creation of sets
* Unit 5 : Working with Filters
* Unit 6 : Organizing Data and Visual Analytics
## Day 3
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* Unit 7 : Working with Mapping
* Unit 8 : Working with Calculations & Expressions
* Unit 9 : Working with Parameters
## Day 4
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* Unit 10 : Charts and Graphs
* Unit 11 : Dashboards and Stories
* Unit 12 : Integration of Tableau with R and Hadoop
## Detailed Tableau Outline
Unit 1 : Introduction to Tableau & Tableau Desktop
* Understanding Tableau
* Basics of business intelligence and business analytics with Tableau
* Introduction to Tableau Desktop where all your reports, formats and dashboards are created
* What is data visualization
* Comparision and benefits against reading raw numbers
* Real usage examples from various business domains
* Some quick powerful examples using Tableau as a end-user
Unit 2 : Architecture of Tableau
* Installation of Tableau Desktop
* Architecture of Tableau
* Tableau UI (Layout, Toolbars, Data Pane, Analytics Pane etc)
* How to start with Tableau
* Ways to share and exporting the work done in Tableau
Unit 3 : 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 Blending
Unit 4 : Creation of sets
* Marks
* Highlighting
* Sort and Group
* Working with Sets
* Creation of sets
* Editing sets
* IN/OUT
* Sets in Hierarchies
Unit 5 : Working with Filters
* Filters (Addition and Removal)
* Filtering continuous dates
* Filtering dimensions
* Filtering measures
* Interactive Filters
Unit 6 : 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 Tableau
Unit 7 : 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)
Unit 8 : 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
Unit 9 : Working with Parameters
* Create Parameters
* Parameters in Calculations
* Using Parameters with Filters
* Column Selection Parameters
* Chart Selection Parameters
Unit 10 : 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 analysis
Unit 11 : 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
Unit 12 : 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 Hadoop
