How to pursue Data Science as a Career
Are you looking at Data Science as a career option but are confused about how to plan for it? Read this article to know how to study to be a data scientist, what are its scopes and what you need to study to make a career in this field.
At this pace of world advancement with humanity reaching new achievements and conquering great heights, data science has become more valuable than ever before. The latest information suggests that an estimate of 2.5 quintillion bytes of data is being processed every day in this modern world. Big data affects our daily routines and activities in more ways than we are even heedful of.
Machines and algorithms collect and store huge amounts of data daily. The role of a data scientist is to apply related methods and further analyze this data for extracting knowledgeable insights depending on the organizational benefits.
A career in data science is simply beneficial because the emphasis on it is bound to be increasing over time incessantly.
Listed below are some of the most prominent job options in the field of data science:Data Scientist
A Data Scientist is not only responsible for analytics but is also required to have statistical skills for complex problem-solving. They also develop data products and intelligent systems thus helping organizations to make objective decisions. Apart from having basic knowledge of algorithms and analytics, it's important to have a contextual understanding. Data Engineer
The primary role of a data engineer is to prepare and organize the incoming big data for analysts and data scientists to work on. They have to make sure that data is stored in the most effective and retrievable manner. Data Analyst
Organizations and businesses rely on data analysts to derive insights from the data extracted and help them for optimum utilisation. Communication skills, statistical, technical skills are some of the major skill sets needed to be a good data analyst.
Instead of just looking at the numbers, they also need to use their understanding of business to come up with quantitative solutions. Business Analyst
In simple words, Business Analysts are the ones responsible to act as the intermediary between IT and business to maximize the company's efficiency. They brainstorm requirements to reach conclusions on business needs and analyse the market environment. BAs can work in a variety of industries such as telecoms, banking and government organisations. Marketing Analyst
With the rapid increase in market competition, the role of a marketing analyst is undoubtedly a demanded one. They identify a target audience, develop marketing strategies by utilising the data provided. Creative insights are needed to develop in this job. Conclusion
Personal interest and skills are required to make a career in any field including data science, but having an effective academic background and selfless mentors to guide you is equally important. Data science certifications by INSOFE will not be the only measure of your skills but the course and learning that comes with it will be the driving force of your career. Therefore, one should choose a course and institute very wisely.
In India, the International School of Engineering (INSOFE) is one of the esteemed schools with a major focus on data science and analytics. Started in 2011, INSOFE, an Applied Engineering School is proud to be the only institute in India whose certificate is listed along with Stanford and Columbia University by global magazine CIO.com. Their program is most suitable for students and working professionals. After starting corporate training services in 2012, they have had an unbelievable year on year growth rate of 300%.
Above everything else, your skills in this field are the most important factor to make you stand out in the crowd. With ample options available for learning and growth in this digital age, remind yourself that there is no limitation to what one can achieve.
A nice brief by the author on this niche topic. Data Science is emerging as the most sought after career option in the IT market and the business houses are realizing the potential of this skill in their decision making and other business activities which are so crucial for the success and flourishing of a business. The days have gone by when data was seen with naked eyes and decisions were taken by eyeballing them. Today data is to be captured, gathered and analysed by the modern IT methods and then presented to the management for understanding its implications and decide for the changes or modifications in the ongoing business for keeping it sustained and alive in the competitive arena. Modern software tools and applications are able to handle a large amount of data and by using the basic logic the garbage can be filtered out completely. New coding languages are coming to the forefront to meet these challenges. Cloud computing and cloud data management are also becoming an integral part of this process. As so much activity is going on in the field of Data Science, it surely makes sense to strive and think to carve out a career in this lucrative area.