Tableau training in chennai

Elevate your data visualization skills with our comprehensive Tableau training in Chennai. Learn from industry experts and unlock new career opportunities in data analytics. Enroll now to take your career to the next level!

Tableau Course: Course Overview

The world runs on data. Just about everything you see around you, online or offline, relies on data. Every purchase, every click, every tap, every like, every dislike, and every tweet. They are all data. Organizations make use of this data to make important business decisions. But the data these organizations use isn't as refined. This means that the collected data is unusable and needs to be converted into a usable format. But how does an organization achieve that?

Simple. Through data analytics. Data analytics is the process of analyzing raw data to reach meaningful conclusions. An organization may use a single tool or an assortment of tools to perform data analytics, but the end result stays the same.

Benefits of Data Analytics

Data analytics has various benefits. A few of the important ones are listed below.

Personalization

This is a major one. Organizations need customer data to learn more about them. They use this data to plan marketing campaigns and customize their products and services. Organizations use tools like physical retail, social media, e-commerce, and surveys to collect customer information. With this information, organizations can market their products/services better while satisfying the requirements of their target customer base.

Efficient Operations

Data analytics is crucial when it comes to improving the efficiency of an organization. Collecting data about a process within an organization helps predict issues that may occur. A good example would be the supply chain of an organization. Collecting and analyzing supply chain data provides useful information on areas that need improvement, the chances of potential issues, and so on. Knowledge of potential issues gives the organization the ability to strategize a plan to solve the issue and prevent it from happening in the future.

Better Security

The data in an organization is always at risk. Criminal elements are always on the lookout for vulnerabilities in an organization. With data analytics, organizations can examine the data available on past breaches. This sheds light on possible weak points in the security system, helping organizations prepare for and avoid possible cyberattacks.

Better Decision-Making

Organizations rely heavily on data to make decisions. This can be something as simple as adding a new flavor or something as important as changing the entire color scheme of their product/service. Organizations need customer information to make important decisions like this. Data analytics help in finding out what works and what doesn't work with respect to changes. There's also predictive analysis that makes useful predictions on the possible outcomes after a change.

Benefits like this are the reason why more organizations are leaning towards data analytics. This is also the reason why data analytics is an excellent field for professionals and young tech enthusiasts.

The Craze for Data Analytics Courses

As said before, there has been a steady rise in the number of organizations adopting data analytics. This rise has led to a growing demand for professionals skilled in data analytics. And this growth doesn't seem to be slowing down anytime soon. Professionals in data analytics with expertise in the tools or technologies involved are the need of the hour. Diving into data analytics without preparation is not recommended. A professional who wants to cement a career in this field needs the appropriate data analytics course. Jobs in this field aren't just high-paying, they are satisfying as well. The problem here is that tons of options pop up when you search for data analytics certification institutes on the internet. If you're a resident of Chennai, your best bet would be to choose a reputable training institute like iconGen that has expert faculty members and the convenience of online classes. But data analytics is an umbrella term. Multiple technologies and tools fall under the category of data analytics. One such tool is Tableau, a data visualization software created by Salesforce.

What is Tableau?

Tableau deals with data visualization. As discussed earlier, raw or unorganized data is hard to interpret and is of no use to organizations. Organized data, on the other hand, makes it easy to read, understand, and also implement in different processes within the organization. Data visualization helps achieve this. Tableau is a data visualization and business intelligence tool. Its main purpose is to analyze huge volumes of data and create reports. Tableau helps users draft different elements, like

  • Graphs
  • Maps
  • Charts
  • Dashboards
  • Stories

These are just the ways in which Tableau expresses data. The general features of Tableau include:

  • Business Intelligence
  • Data Visualization
  • Data Collaboration
  • Data Blending
  • Query Translation into Visualization
  • Create No-Code Data Queries
  • Large-Sized Metadata Management and Importing
  • Real-Time Data Analysis

How Tableau Works?

Since Tableau deals with data visualization, the process of linking a database to it is the only major work an individual does here. This means that they simply have to connect and extract the data that needs to be visualized. Tableau can extract data from the following connectors.

  • Microsoft Excel
  • PDF
  • Oracle
  • Amazon Web Services (AWS)
  • Microsoft Access
  • Tableau Server or Cloud
  • Apache Drill
  • Anaplan
  • Azure
  • Cloudera Hadoop
  • Dropbox
  • Google Analytics 4
  • Google BigQuery
  • IBM DB2
  • OneDrive
  • Oracle

These are a few from a massive list.

Once Tableau accesses data from one of the connectors, a data analyst or data engineer will start on the visualization part. They can create dashboards and other graphical elements to display the data. The created Tableau data is shared in the form of static files. Individuals within an organization can view the data using a Tableau reader.

Tableau as a Career

Tableau offers professionals a fruitful career with high earning potential, thanks to its efficiency in dealing with data. The right Tableau course doesn't just deal with the basics of Tableau. It also discusses data visualization. This is important since the purpose of Tableau is data visualization, and there's no point in learning about a tool/technology without knowing what it's used for. Not just data visualization, a comprehensive Tableau course in iconGen covers important aspects like

  • Installation and Troubleshooting
  • Tableau Data Types
  • Tableau Desktop Architecture
  • Working with Metadata, Sets, and Filters
  • Data Analytics
  • Mapping
  • Aggregated Functions and Expressions
  • Parameter View
  • Graphs

By the end of the course, you'll be on your way to developing a rewarding career. Completing a Tableau certification course opens up job opportunities like

  • Tableau Developer
  • Data Analyst
  • Business Intelligence Developer
  • Tableau Architect
  • Tableau Consultant
  • Tableau Report Developer
  • Business Analyst
  • Tableau Admin
  • Tableau Report Developer
  • Product Analyst
  • Data Engineer
  • Tableau Analyst

Get the Best Tableau Training

The best Tableau course will pave the way for a fruitful career. But here's the catch: Choosing the right institute is difficult. There are so many options available, and you have no idea about the quality of training these institutes offer. This is where iconGen shines. As a premier institute for Tableau training, iconGen has some of the best instructors with multiple years of teaching and industry experience. The institute also boasts a well-equipped facility with all the latest amenities. There's an added benefit to choosing iconGen to learn Tableau. Professionals also receive tips on how to tackle interviews. They also get to participate in mock interviews to increase their confidence when facing the actual interview. Not just that, iconGen has tie-ups with multiple MNCs in Chennai. Once you successfully complete your Tableau course, you have an increased chance of landing a high-paying job in the world of data analytics.

FAQ

1. What are the topics included in the Tableau syllabus at iconGen?

Everything related to data visualization and Tableau. When you complete the course, you'll have extensive knowledge of data visualization and how Tableau helps in the data visualization process.

2. What about Tableau course duration and fees?

The course duration for Tableau depends on your availability. As for the fees, it is affordable and a good investment for your future in the data analytics field.

3. Can I expect placement assistance after my Tableau training at iconGen?

Yes. iconGen has partnerships with multiple MNCs. They will give first preference to professionals who graduate from iconGen.

4. What are the requirements to learn Tableau?

Just about anyone can master Tableau. However, basic knowledge about data types, data structures, spreadsheets, and databases will be helpful.

5. What are some of the job roles for professionals who have undergone Tableau training?

Once you are Tableau certified, you can expect job roles like Tableau developer and Tableau consultant. Since data visualization falls under the category of data analytics, you can also expect job roles like

  • Tableau Analyst
  • Tableau Report Developer
  • Tableau Admin

We are also offering following courses :

For complete syllabus : Click Course Curriculum / Fill Enquiry Form (or) Call us @ 9361217989

  • 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
  • Connecting to Data Source
  • Tableau data types
  • Data Preparation
  • Desktop Architecture of Tableau
  • Interface of Tableau (Layout, Toolbars, Data Pane, Analytics Pane, etc.)
  • How to start with Tableau
  • The ways to share and export the work done in Tableau
  • Connection to Excel
  • Cubes and PDFs
  • Management of metadata and extracts
  • Data preparation
  • Joins (Left, Right, Inner, and Outer) and Union
  • Mark, highlight, sort, group, and use sets (creating and editing sets, IN/OUT, sets in hierarchies)
  • Constant sets
  • Computed sets, bins, etc.
  • Filters (Addition and removal)
  • Filtering continuous dates, dimensions, and measures
  • Interactive Filters, marks card, and hierarchies
  • How to create folders in Tableau
  • Sorting in Tableau
  • Types of sorting
  • Filtering in Tableau
  • Types of filters
  • Filtering the order of operations
  • Formatting Pane to work with menu, fonts, alignments, settings, and copy-paste
  • Formatting data using labels and tooltips
  • Edit axes and annotations
  • Trend and reference lines
  • Visual analytics in Tableau
  • Forecasting, confidence interval, reference lines, and bands
  • 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, map box, WMS map
  • How to create map projects in Tableau
  • Creating dual axes maps and editing locations
  • Using WMS (Web Mapping Services)
  • Calculation syntax and functions in Tableau
  • Various types of calculations, including Table, String, Date, Aggregate, Logic, and Number
  • LOD expressions, including concept and syntax
  • Aggregation and replication with LOD expressions
  • Nested LOD expressions
  • Levels of details: fixed level, lower level, and higher level
  • Quick table calculations
  • The creation of calculated fields
  • Predefined calculations
  • How to validate calculations
  • 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 calculated fields
  • How to use parameters in the reference line
  • Dual axes graphs
  • Histograms
  • Single and dual axes
  • Box plot
  • Charts: motion, Pareto, funnel, pie, bar, line, bubble, bullet, scatter, and waterfall charts
  • Maps: tree and heat maps
  • Market basket analysis (MBA)
  • Using Show Me
  • Text table and highlighted table
Course Info
  • Course:Java
  • Timings:120 mts/daily
  • Duration:100 Hours
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