Words like big data and data science have been here long enough to become a part of the technological lexicon. The funny part although is that even after knowing about the prospects of the big data and data science professions new talents are not coming forward in large numbers; the skill gap is getting bigger and uglier. Gartner predicted a long time ago that by the end of 2018 USA alone will face a shortage of a million data professionals. Exaggerated as it might have seemed at that time, we now see that the prediction was not far off the mark. There is a global want of efficient operators in data analytics. The roles of the professionals have somewhat evolved and the technologies have been developed and customized for better results but the skill gap issue persists.
The boundaries have been stretched
You cannot really point your finger at an industry and call it the data science industry because the application of data science and advanced analytics has had an impact on every single industry that is thriving on the face of earth, from pharmaceuticals to automobiles the range of enterprises that use analytics currently encompasses almost everything one can mention. This was mostly all about learning about the past, analysing the present and making an ideal plan for the future. The results of data analytics were not tangible and could be delayed. Now, with the popularity of real time analytics, these processes are used to govern the current course of action. With AI and Machine Learning taking the turf, almost every action is based on in depth analysis.
The tools that count
The increasing volume and variety of data has made it necessary for companies to have tailor made tools and efficient operators. And efficiency in the world of analytics means more than timely completion of a task. It involves a deep understanding of the technical requirements for a certain task. The Indian talent pool is falling short due to an acute of lack of ingenuity among the budding tech professionals. The disruption in IT is not a hoax or a fallacy, it is there. You cannot blame a machine for taking away your job, may be you were too slow to adapt the new trend. As for now, Python seems to be the trend. The programming language Python and all its components are created with two things in mind – simplicity and fun. There are a number of reasons why coders around the world have found Python to be a great aid.
- Python takes less amount of code for equivalent jobs than JAVA or C++.
- It works pretty well with SQL users.
- It can handle the machine learning algorithms better than most languages.
In the Indian context
One can say that Python has made a late entry but soon it has become a favourite among analyst and data scientists. Python training in Delhi is the best you can get in the country and it can really be your first stepping stone into the data science world. The startups are totally impressed with the flexibility that Python offers. It is almost a given that you need to learn Python to secure the position of a data analyst in a startup. The larger corporations which had been using SAS or R are also shifting towards Python.
What keeps it on top?
The best of the positive features is the presence of an ever expanding and always active community of users who keep the buzz going. You will never stay stuck with a problem for too long; you will find someone in the forums with a solution. Since it is an open source platform the expenses are nominal. Python allows the coders with a great amount of freedom. The list of companies that use Python as the primary programming language features names like Google, Facebook, Youtube, Dropbox and more important organizations.
The commercial importance of data analytics has reached its peak and data analytics is now part of a larger development in the world, it is time you took part in it. Python training can give you a good start. Successful and wholesome use of Python demands training and deep understanding; these you can gain from the analytics institutes that are offering Python training in Delhi and other cities. Anyway, it is an easy language to start with. The sooner you start the better.