What Should I Choose As A Career, Data Science Or Tableau?

Gyansetu Team Data Science, Business/Data Analytics
Tableau course in gurgaon

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 involves analyzing data to extract meaningful insights for industries. It uses a multidisciplinary approach, incorporating principles and practices from mathematics, computer engineering, statistics, and artificial intelligence to analyze large data sets. This analysis enables data scientists to ask and answer questions like what happened, why it happened, what will happen, and what can be achieved with the outcomes. For comprehensive data science training in Gurgaon, Gyansetu provides top-notch programs to help you excel in this field.

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 a powerful and rapidly growing data visualization tool used in the Business Intelligence Industry. It simplifies raw data into an easily understandable format. Tableau enables the creation of data that can be comprehended by experts at any level within an organization and allows non-technical users to develop customized dashboards. Data analysis is swift with Tableau tools, and the visualizations are presented in the form of dashboards and worksheets. For those looking to master this tool, Gyansetu offers a comprehensive Tableau course in Gurgaon to help you excel.

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.

Gyansetu Team

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