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Top 8 Reasons to learn Tableau

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Top 8 Reasons to learn Tableau

Today's corporate environment cannot disregard data because it informs everything about consumer behavior, market trends, and a wide range of other topics. But not all data can be analyzed using traditional methods. Even when the study has been performed, it is challenging to communicate information in a straightforward manner. Additionally, it requires more time. Modern tools and platforms, like Tableau, are useful in this situation. It is the ideal choice for managing the quickly growing amount of data. As a result, there is a rising demand for Tableau and an equal rising tide of individuals seeking to learn it. In this post for 2021, let's review the top five reasons to get to know Tableau.


Reason to learn Tableau

1. A Growing Need for Tableau Professionals

According to International Data Corporation (IDC) research, 50 times as much data will be produced by 2020 as there was in the previous ten years. This occurs as a result of the daily increase in data production. Due to the enormous volume of data, corporate organizations increasingly require some form of tool.

Data analysis can be aided and insights into potential courses of action can be provided by the dynamic and user-friendly Tableau program. Mostly as a result of this, Tableau jobs are on the rise. Professionals skilled in tableau are already in great demand, and this trend will continue. Learn more about how to train as a Tableau developer.


2. Job Opportunities in top companies

Both the company's reputations and the current pay rates are of appeal to many striving young individuals. All people share the ambition to work for the finest companies and grow within them. Due to fierce competition, it is challenging to enter larger companies because there are few openings due to the lower turnover rates in those organizations. Despite the fact that Tableau is relatively new software, there will be many job opportunities in respected companies. Jobs for Tableau and data visualization specialists are posted on job boards by well-known companies like Dell, Facebook, Google, KPMG, Sony Electronics, Bank of America, General Motors, etc. If you begin studying with tableau for students at the student level, you can get excellent job opportunities in well-known companies once your schooling is complete.


3. Future of Career in Tableau

The best product for business intelligence and data visualization is Tableau. Tableau has been rated first by Gartner Research for business intelligence and data visualization seven times in a row. The ability to perform is what counts most when comparing Tableau Tool to its opponent.

Tableau definitely leads its competitors and controls the market. The Completeness of the Vision function of the Tableau Tool is equally as powerful as that of its competition. Tableau has a very bright, secure, and stable future ahead of it.


4. Lucrative pay scale

Despite the fact that there are other possibilities, the salary is the main factor to take into account when selecting a career. A job can be chosen without a doubt if it can provide a sizable quantity of benefits. Due to the fact that Tableau is still in its infancy, there is a considerable shortage of qualified workers compared to demand. The need for Tableau experts is rapidly increasing. This issue also has an impact on the salary scale. An average tableau expert earns $120,000 a year. According to the needs of the company, your skill level and competence will determine how much you get paid. The good news is that the average wage keeps rising and breaking records each year.


5. Pricing of Tableau Software

The Professional Version of Tableau costs $1,999 per license plus additional maintenance costs. Additionally, Tableau offers the software's free edition. A developer cannot save every data visualization on the Tableau server; instead, Tableau Public server must be used. This is the main distinction between Tableau Professional and Tableau Public.

Tableau developers are only allowed to connect to a specific number of data sources using the Free edition of Tableau, which is another important difference between Tableau Public and Tableau Professional. Tableau Public excels in visualizing data that is available in Tableau Professional, which is its strongest feature.


6. Exceptional demand for Tableau experts

The previous ten years have seen a greater increase in data production than the decade that came before. Therefore, no business can ignore this information without jeopardizing the benefits. Data is the new-age fuel, and if a business pays attention, it may provide insightful information and expose hidden trends that are incredibly advantageous to the business. Only Tableau offers the same level of efficiency for producing interactive dashboards, graphs, and reports. As a result, many huge businesses have already adopted it and reaped its benefits. There is a significant need for Tableau developers now that even small businesses use it.


7. Better Integration of Data

The Tableau utility makes data connections straightforward. Integrating any type of software or computer language is straightforward with the help of Tableau software. Data connection is now a straightforward process, and everything is compatible with the Tableau tool. It is also quite easy to integrate Tableau with many data sources.


8. Promising Future

Data visualization has proven to be a lucrative field for Tableau. No other tool or platform can match Tableau's quality, and it is expected to continue to rule for decades to come. Therefore, this is not a singular marvel that attracts notice before vanishing without a trace. Furthermore, the future seems bright because so few companies have completely embraced this.


Conclusion

The main reasons for learning Tableau and why it makes for a rewarding job are therefore stated below. We anticipate that after reading this piece, your opinions regarding Tableau and the market demand for it will be more evident.

Consider the well-known PG Diploma in Data Science offered by upGrad and IIIT-B if you wish to learn Tableau. It covers a wide range of subjects, such as data visualization, statistics, big data analytics, machine learning, predictive analytics using Python, and more.



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