Tableau is one of the most popular data visualization tools in the field of business intelligence, which is growing at a fast rate currently. All Small and Large companies want to make use of Tableau to visualize the data. If one is planning to build a career in Data Analytics and Business Intelligence, then getting a certification in Tableau is a good option.
Top Reasons to Learn Tableau
1. Increasing Demand for Professionals in Tableau
More and more data is being generated every day, and according to a study by International Data Corporation (IDC) it has been estimated that the data generated by 2020 will be 50 times more than the data generated in the last decade. Now Business companies need some kind of tool to process the enormous volume of data.
The Tableau tool is easy to use and interactive tools that can help in analyzing the data and deriving insights on which actions can be taken. This is the main reason that the trend of jobs in Tableau is rising. The tableau professionals are very much in demand currently that will keep growing at a faster rate in the future. Read more about How to become a Tableau Developer.
2. Rewarding Career in Tableau
Tableau Developer is one of the very highly compensated professionals in the field of Data Analytics. The average salary of a Tableau Developer is $108,697 annually. The trend of the average salary is also rising day by day, and the most recent wages have gone up to $158,000.
Get data science certification from the World’s top Universities. Learn Executive PG Programs, Advanced Certificate Programs, or Masters Programs to fast-track your career.
3. Lucrative Tableau Job Offers from Large Companies
Large Companies like Verizon, KPMG, Bank of America, Sunguard, Sony Electronics, General Motors, Groupon, University of California, NetJets, Booz Allen Hamilton, Applied Systems, Dell and Facebook are offering Jobs in the field of Tableau. All the large companies have realized that they need right tableau experts, and they are ready to provide them with excellent compensation. A Tableau Career is going to boom further in the future.
Our learners also read: Free online python course for beginners!
4. Diverse Tableau Job Roles
Various Job roles at multiple levels can be chosen by one in their Tableau career. Some of the Tableau Professional Jobs are as follows:
Business Intelligence Manager
Business Intelligence Developer
Business Intelligence Analyst
Explore our Popular Data Science Courses
5. Future of Career in Tableau
In the business intelligence and data visualization market, Tableau is the leading tool. Gartner Research has named Tableau tool as the leader seven times in a row in business intelligence and data visualization. The ability to execute is the main thing in Tableau Tool when compared with the competitor.
Looking at its competitors, Tableau is far ahead as the leader of the market. Completeness of Vision is also a powerful feature in the Tableau Tool in comparison to its competitor. There is a very secure and bright future of Tableau that is going nowhere.
6. Better Integration of Data
The integration of data is straightforward in Tableau tool. Any type of software or any programming language can be easily integrated as helped by Tableau software. It has become straightforward to connect the data, and there are no compatibility issues in Tableau tool. It is also effortless to integrate Tableau with various data sources.
7. Better Manipulation of Data
Implementation of Data analytics is straightforward in Tableau such as consolidating data, reports gathered from databases, understanding of data, data manipulation. There is also no problem with the deployment of software in Tableau software.
8. Easy Data Visualization Creation of a Large Amount of Data
Tableau software can handle a large volume of data and can create a visualization of data without crashing.
9. High Volume Data Management
One can easily manage the high volume of data in Tableau software
10. Very Organized User Interface
The User interface of the Tableau is very organized, which helps one to customize the view in just some clicks easily.
Read our popular Data Science Articles
11. Easy Identification of the Data Model
The data has to be represented in such a way that the message of it can be easily understood. A tableau developer can quickly identify the model required for the data by switching between types and creating visuals efficiently and promptly.
12. Easy Creation of Interactive Data Visualization
Tableau tool software is very user-friendly and straightforward to use, which allows for the production of interactive data visualization in a very effective manner at fast speed. Complicated charts and graphs can be easily created in Tableau Software. Datasets are calculated at a quicker rate, and massive data are handled very efficiently.
13. Maps and Geography Support
Many different areas of the world map are now being supported by Tableau software such as Asia, Europe, and various other regions. Custom territories can also be rolled up from the geographical fields now by a tableau developer. It also helps in the identification of more geographic areas.
14. New Connections
Various types of data source connections have been added to the Tableau. Regularly used sources can also be accessed through Tableau software now such as Google Sheets, QuickBooks.
15. Cluster Analysis
Data Science and advanced analytics can be implemented in a massive range by using Data clustering. Data sets are clustered through clustering function by using k-means. It is dragged based on the measures and dimensions of the dataset.
16. Data Sources Filtering
The filtering option in Tableau is beneficial as it allows a tableau developer to apply the same filter on all the similar kinds of data sources.
17. Cross-database Joins
A tableau developer can use the data source connection table and merge tables from different databases. These are very critical features of Tableau that outperform the competitor. Also, it is effortless to keep track of the source of the database because connections are colour-coded in Tableau.
18. Pricing of Tableau Software
$1,999 + additional maintenance charges is the per license cost of the Professional Version of Tableau. Tableau also provided Tableau Public that is the free version of Tableau software. The main difference between Tableau Professional and Tableau Public is that a developer cannot save all the visualization of data on the tableau server and the Tableau public server has to be used to save it.
Another main difference between Tableau Public and Tableau Professional is that a tableau developer can only use less connection of data sources in the Free version. The best part about Tableau Public is that it provides some fantastic visualization of data that is available in Tableau Professional.
19. Ease of Learning
One can quickly start using Tableau Software, as it is straightforward to learn. It has a very short curve of learning, and one can easily create full interactive MIS dashboards with less than 7 hours of proper training.
So here are the main reasons why a career in Tableau is quite rewarding and why you need to learn Tableau. We hope this article has clarified your thoughts onTableau and it’s demand in the market.
If you wish to master Tableau, check out upGrad and IIIT-B’s widely recognized PG Diploma in Data Science which covers various concepts like Data Visualization, Statistics, Predictive Analytics using Python, Machine Learning, Big Data Analytics and more.
How is Tableau Server different from Tableau online?
The primary distinction between Tableau Online and Tableau Server is that Tableau Online is a cloud-based version of Tableau Server, whereas Tableau Server is a central repository for users, data sources, and visualizations. They link data rapidly and enable speedy exchange of information.
What are the limitations of using Tableau software?
Tableau, despite its significant concern for data security, fails to provide consolidated data-level protection. Despite the simplicity with which the program may be used in everyday situations, Tableau nevertheless needs the assistance of an IT staff in its further configuration and basic capability extension. It lacks features like large-scale reporting, data table creation, and static layouts that are essential for a full-fledged business intelligence solution.
In Tableau, what is the difference between filters and parameters?
Parameters can be used to see a whole workbook, while quick filters are only for individual sheets. You can't apply the same filter to various worksheets, but you can with parameters. You can pick several values for fast filters, but not for parameters, which are limited to a single value. During computations, parameters can be used in calculated fields, but filters cannot be used in calculated fields. You can pick or input things like integers, floats, strings, and dates and times in parameters, but you can't do so in filters.