1- Widening of knowledge and skills
When a person opts for data science training, he is exposed to knowledge that is multifaceted in nature. Ranging from programming in python to knowledge about machine learning, data science training provides it all. Various kinds of courses which one can expect in a data science curriculum include machine intelligence, statistics, business analytics, artificial intelligence, data structures, cloud computing, advanced algorithms and operations research.
2- Diversification of job prospects
Data science training plays a pivotal role in diversifying your job prospects. This is because after a data science training, a person can work in numerous positions like data advisor, data manager and data analyst.
3- Central role in numerous organizations
After taking data science training, a person can take up a central role in various organizations. This is because all organizations in the current technological age are directly or indirectly dependent upon data scientists. Having said that, there may be a possible dearth of data scientists in the times to come. So, in order to prepare for that, we would need to set up data centers at a large scale. This would help in two ways. Firstly, they would develop data scientists with a professional understanding of data. Secondly, such data centers would also act as research incubators and pave the way for knowledge discovery in future.
4- A position on which growth of a business depends
There is no doubt in the fact that businesses are looking for potential sectors which can yield higher profits in future. In this scenario, these businesses need professionals who are equipped with skills like business intelligence. These professionals will help in two major ways. Firstly, such professionals would help in the identification of potential sectors with long term returns. Secondly, they would also play an important part in determining the amount of investment in a particular sector.
5- A science for future
Data science is often regarded as a future science. This is because data science is advancing at such a rate that other disciplines may borrow from it in the future. So, people who go for data science training in the current times would be expected to increase the substance of other disciplines by contributing in a larger capacity.
We may summarize this discussion by stressing on the need of data science training at three different levels. At the individual level, data science training would help in skill development. At the organizational level, it would help in sectoral development. Finally, at the global level, it would help in technological development.