What is data visualization, Comparison 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 Tableau, installing Tableau, Tableau interface, connecting to DataSource, Tableau Data Types, data preparation.
Installation 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 Tableau
Hands-on Exercise – Play with the tableau desktop, interface to learn its user interface, Share an existing work, Export an existing work
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, data extraction, refresh extraction, incremental extraction, how to build extract
Hands-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 sources
Marks, Highlighting, Sort and Group, Working with Sets (Creation of sets, Editing sets, IN/OUT, Sets in Hierarchies), constant sets, computed Sets, bins
Hands-on Exercise – Create and edit sets using Marks, Highlight desired items, Make groups, Applying sorting on result, Make Hierarchies in the created set
Filters (Addition and Removal), Filtering continuous dates, dimensions, measures, Interactive Filters, marks card, hierarchies, how to create folders in Tableau, sorting in Tableau, types of sorting, filtering in Tableau, types of filters, filtering order of operations
Hands-on Exercise – Add Filter on data set by date/dimensions/measures, Use interactive filter to views, Remove some filters to see the result
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, visual analytics in Tableau, reference lines and bands, confidence interval.
Hands-on Exercise – Apply labels, annotations, tooltips to graphs, Edit the attributes of axes, Set a reference line, Do k-means cluster analysis on a dataset
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), map visualization, custom territories, Map Box, WMS Map, how we can create map projects in Tableau, how to create Dual Access Map, how to edit location.
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 WMS
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, Level of Details, Fixed Level of Details, Lower Level of Details, Higher Level of Details, Quick Table Calculations, how to create Calculated Fields, predefined Calculations, how to validate.
Create Parameters, Parameters in Calculations, Using Parameters with Filters, Column Selection Parameters, Chart Selection Parameters, how to use Parameters in Filter Session, how to use parameters in Calculated Fields, how to use parameters in Reference Line.
Hands-on Exercise – Create new parameters to apply on a filter, Pass parameters to filters to selet columns, Pass parameters to filters to select charts
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, Using Show me, Types of Charts, Text Table, Heat map, Highlighted Table, Pie Chart, Tree map, Bar chart, Line Chart, Bubble Chart, Bullet chart, Scatter Chart, Dual Axis Graphs, Funnel Charts, Pareto Chart, Maps, Hands on Lab, Assignment, Funnel Chart, Waterfall Chart, Maps
Hands-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 dataset
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), DashBoards & Stories, what is Dashboard, Filter Actions, Highlight Actions, Url Actions , Selecting & Clearing values, DashBoard Examples, Best Practices in Creating DashBoards, Tableau WorkSpace, Tableau Interface, Tableau Joins, Types of Joins, Live vs Extract Connection, Tableau Field Types, Saving and Publishing Data Source, File Types
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, description
Introduction to Tableau Prep, how Tableau Prep helps to quickly combine join, shape and clean data for analysis, create smart experiences with Tableu Prep, get deeper insights into your data with great visual experience, make data preparation simpler and accessible, integrate Tableau Prep with Tableau analytical workflow, seamless process from data preparation to analysis with Tableau Prep
Introduction to R Language, Applications and Use Cases of R, Deploying R on Tableau Platform, Learning R functions in Tableau, Integration with Hadoop
Hands-on Exercise – Deploy R on tableau, Create a line graph using R interface, Connect tableau with Hadoop and extract data
Project 1 – Tableau Interactive Dashboard
Data Set – Sales
Objective – 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.
Domain – 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 happened
Problem 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.
Project 3 :Analyzing economic data
Industry – Government
Problem Statement – How unemployment is affecting global malnutrition
In this Tableau project you will be working on vast amounts of data and analyze it to come up with trends, insights and correlations. The data sets include the global unemployment figures for multiple years, world population statistics across several years, nutritional data across the globe. Analyzing this data, you will correlate the malnutrition problem with the unemployment rates by using Tableau.
Project 4 : Analyzing market performance
Industry : Retail
Problem Statement – Using the Consumer Packaged Goods data to analyze which are the markets which are performing well for a particular retail enterprise using Tableau Desktop.
Topic : This Tableau Desktop project involves working with the complex Consumer Packaged Goods data to come up with the brand performance analysis, regions that are contributing good to the revenues, where there is a need to offer more discounts to spur sales, and making in-depth budget vs. spend analysis for any particular year.
Intellipaat is one of the best organizations for Tableau training. As you know Tableau has been consistently placed among the Leaders in the Gartner Magic Quadrant for Business Intelligence domain. In the field of data visualization, clearly, Tableau is unbeatable. The Intellipaat Tableau training is the most comprehensive course packed with real-time and highly relevant projects, assignments and course material specially designed by industry experts to help you learn Tableau. Our Tableau certification training course content is aligned toward clearing the Tableau Desktop Qualified Associate Certification exam.
Upon the completion of the Tableau certification training course, you can apply for some of the best jobs in top MNCs around the world at top salaries. Intellipaat offers lifetime access to videos, course materials, 24/7 support and course material upgrading to the latest version at no extra fee. Hence, it is clearly a one-time investment.
This course is designed for clearing the Tableau Desktop Qualified Associate Certification exam conducted by Tableau. The entire course content is in line with the certification program and helps you clear the certification exam with ease and get the best jobs in top MNCs.
As part of this training, you will be working on real-time projects and assignments that have immense implications in the real-world industry scenarios, thus helping you fast-track your career effortlessly.
At the end of this training program, there will be quizzes that perfectly reflect the type of questions asked in the certification exam and help you score better marks.
Intellipaat Course Completion Certificate will be awarded upon the completion of the project work (after the expert review) and upon scoring at least 60% marks in the quiz. Intellipaat certification is well recognized in top MNCs like Cisco, Cognizant, Mu Sigma, TCS, Genpact, Hexaware, Sony, Ericsson and others.
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