Our World and Data Science
With an enormous explosion in data generation in every industry all over the world, and with the urgent demand of skilled professional to work with that huge amount of data for solving problems, the profession of Data Scientist has been witnessing unprecedented growth recently. Organizations like Glassdoor and Harvard University have already declared Data Science as the best job of the 21st century, and since most of the data remain perpetual and ever-increasing, the scope is only going to rise.
Who is a Data Scientist and What Does He/she do?
Data Science refers to studying hidden insights behind the data and manipulating them in order to find logical solutions to problems in business and industrial contexts. The professionals who do this work are called Data Scientists.
Data can be both structured and unstructured, and dealing with them is challenging yet exciting. The job includes the collection of data, interpretation of data, transformation and modification of data for extracting statistical models and for machine learning, visualization and communication of the model to the customers, and lastly, applying it in the production environment. Most importantly, a Data Scientist acts as a bridge between the industrialists and managers in a corporation.
Where are Data Scientists Needed?
Data Science has become the most vital part of Information Technology. Industries like e-commerce, social media, software-building, networking, game developers, etc are relying more and more on the stored data and its exploitation to make the user experience better and for resolving technical hardships. Moreover, data generation is also occurring at a large scale in industries like bioinformatics, medical sciences, urban planning, navigation, aviation and logistics, finances, human resources, and even in entertainment fields like movies, TV shows, and sports.
What Can One Get From Data Science Training?
Someone aspiring to be a Data Scientist has to be an expert in the fields of statistics, programming languages, technology, and problem-solving techniques. Keeping this in mind, the training focuses extensively on programming languages like Python and SQL which are used for machine learning. R and Excel are the best-known software for statistical analysis and for data modeling. Tableau is a very helpful tool for preparing effective charts and graphs for communicating the model while the Hadoop framework is used for gathering data on a huge scale from open-source software. SAS, Minitab and XL miner are other important tools.
The course provides in-depth training of all the concepts of Data Science by the IIT, ISB alumni instructors having long experience in the data industry. The students get a detailed study on Hadoop and an opportunity of working on live projects in order to make themselves job-ready. They are allowed to appear in numerous webinars and discussions, and they get excellent job assistance to find the right job in leading companies through a dedicated placement cell.
Currently, the world is facing an acute shortage of professionals to work as Data analytics, Machine learning, and Deep learning engineers, software programmers, etc, and a student trained in Data Science has the potential to do all these jobs. Companies are hiring Data Scientists at a mass level and the salaries are high with promising growth as per the experience. So, now is indeed the best time to pursue Data Science.