What should I choose as a career, Data Science or Tableau?

Today’s world generates tremendous data, and businesses depend on it for further development. Immense unstructured data accumulated on the cloud must be processed and prepared to make it an enterprise investment. Data-driven technology has altered our daily lives and businesses in the previous decade.

What is Data science?

Data science is the analysis of data to take out meaningful insights for the industry. It is a multidisciplinary strategy that incorporates principles and practices from the areas of mathematics, computer engineering, statistics, and artificial intelligence to analyze large portions of data. This analysis enables the data scientists to ask and answer questions like what happened, why it happened, what will happen, and what can be accomplished with the outcomes.

What is the career scope of data science? 

With data science technology rapidly progressing and data becoming ever more useful, data science is one of the most in-demand professions today. The different job roles for data science are mentioned below- 

1. Data scientist 
2. Data Engineer 
3. Data analyst 
4. Machine learning engineer 
5. Business intelligence analyst

Data science is a growing field, with the need for data scientists boosting various enterprises, comprising finance, healthcare, technology, and retail. In addition, data scientists may function in various settings, including research organisations, businesses, or government agents.

Which are the best resources to learn about data science? 

There are many resources, both online and offline, which are the best platforms for data science aspirants. Some of these online sources are mentioned below- 

1. upGrad 
2. Coursera 
3. Udemy 
4. DataCamp 
5. Kaggle 
6. edX

Some of the best offline resources are mentioned below- 

1. iclass Gyansetu
2. Jigsaw academy 
3. AnalytixLabs 
4. Edvancer 
5. Edureka

What is Tableau? 

Tableau is an influential and fastest maturing data visualisation tool utilised in the Business Intelligence Industry. It assists in simplifying raw data in a very readily understandable format. Tableau enables the creation of data that can be comprehended by experts at any level in an organization. It also permits non-technical users to develop customised dashboards. Data analysis is very fast with Tableau devices and the visualizations developed are in the form of dashboards and worksheets.

What are the career scopes of Tableau? 

The best thing about Tableau careers is that a candidate has a variety of job roles to select from and at various levels in their career. Following are some of the hottest job crowns for Tableau experts. 

1. Tableau Consultant
2. Data Analyst
3. Business Analyst
4. Business Intelligence Analyst
5. Business Intelligence Developer
6. Business Intelligence Manager

The rising trend for Tableau careers in Google trends is a testimony to the development in demand for Tableau experts. Not only is there a great need for Tableau specialists, but there are also huge rewards on offer. As of May 6, 2019, the standard annual salary for a Tableau Developer is $108,697 a year. The standard salaries, too, are on an upward trend with the recent average salaries going up to as high as $158,000. 

A quick scan through the recent job openings discloses that quite a few top corporations are looking for Tableau talent. Some of these corporations include- 

• Facebook, 
• Dell, 
• Applied Systems, 
• Booz Allen Hamilton, 
• NetJets, 
• The University of California, 
• Groupon, 
• General Motors, 
• Sony Electronics, 
• Sunguard, 
• Bank of America, 
• KPMG

Thus, both data science and Tableau have immense scopes nowadays. Furthermore, the overwhelming development rate of functional data volumes and the pressing requirement for decision-makers in all realms of business and research to make quick and valid decisions increased the extent of data visualisation tools to comprehend data with graphics.