Explore different ways to become successful in the field of data science and big data 

Undoubtedly, data is everywhere around us. Businesses of all sizes and types are making significant leaps and bounds in delivering enhanced and improved business outcomes by harnessing their data. For this, they are leveraging effective big data analytics solutions to process this data in order to derive meaningful insights. While data has become a new currency for enterprise growth, big data analytics is not only an essential tool but is becoming a multi-faceted skill for organizations. Having relevant skills can play a crucial role to cope with the relentlessly evolving big data sets and transform businesses into data-driven organizations.

To become successful in the field of data science, there are multiple ways professionals and students can learn and master this domain. An aspirant can get started in this field through a Bachelor's, Master's, and Ph.D. program, along with online and executive programs.

In recent years, the need to improve the quality of education has become indispensable as India is progressively striding towards a digital ecosystem. Data science is one of the fields that is emerging rapidly, enabling IT professionals to survive in the data world. Since big data analytics is becoming a sought-after career option in nearly every business area, aspirants must seek ways to enhance their knowledge and develop the skills that can help them deliver more value to their organizations.

With companies seeking advanced skills when acquiring the best talent, they also must initiate re-skilling and upskilling programs to improve the data knowledge of their employees, both existing and new ones. It has become more essential than ever before to work with large data infrastructure to stay competitive in today's dynamic market. Analytics Insight estimates over 133 million new job opportunities to be generated by the fourth industrial revolution. In India, about 1.37 million new jobs in data science to remain open by 2025.

Thus, to master data science and survive the rapidly growing field, an aspirant must look for advanced big data analytics skills and knowledge that can help them in their personal as well as professional life.