How to become a data scientist from being a data analyst-Final Chapter
In our previous blog, we have seen the differences between a Data Scientist as well as a Data Analyst and how you can shift your career from being an Analyst to being a Data Scientist. Here we will be covering more in depth about how to make the transition and the need to change careers. The Data Scientist is not a new concept. It is the science of analyzing data and has been around for quite long. For many years most of the companies are utilizing a data science team, which is consisting of a group of technologists, statisticians and business subject matter experts who will be solving problems as well as providing solutions. However, data scientists are considered so hot in the business right now and at the back room of the IT department, they are considered to be the best profession.
Top websites such as indeed.com are reporting a high need for data scientists all over and are reaching more than 3000%. The shift to big data is changing the paradigm which is making the role very imperative in today’s world. The demand for these individuals is also increasing as a person who has deep knowledge as well as an understanding of all the advanced mathematics, data, as well as system engineering expertise, is much higher. To know what a data scientist does and have an idea of what to study you can undertake big data Hadoop administration training which a part of the curriculum is.
Yes while it is a flourishing time to be a data scientist since business analysts are more likely to take the first hit and will be forced to either update their knowledge or adapt their skills or will be left behind. A shift is occurring in most of the companies as the companies are no longer using these business analysts only but also want data scientists to determine what the future holds for them in a business. They are turning to data scientists where they are using machine learning and new data mining techniques which are used to discover all the new product trends and patterns.
But mostly by human nature, the preconceived notions of business analysts are that they drive the business with a certain rule set and often have notions about the various factors that drive a particular business. But in today’s world, this has become a flaw and has put business analyst two steps behind a data scientist who is much better with respective to leverage the machine learning algorithms as well as to provide real-time statistical bases predictions for real-world data. Since data scientist has all the multi-disciplinary skills that are needed to step it and do that they are simply throwing out all the skills and scope of a data analyst. You can undertake business analyst training if you are interested to know how a business analyst does the job and know the differences. So pick up your best choices and take a wise decision.