UNDERSTANDING THE WORKING OF DATA SCIENCE TRAINING IN PUNE


INTRODUCTION

Technology has witnessed massive changes that have impacted the world in a manner that we never dreamed possible, especially in the last 5-6 years. Its evolution is at a stage that almost every week or month, a piece of technology undergoes massive changes through updates or patches or anything.

One of the most major technologies that has been born from the ashes and has undergone the most rapid and heavy changes to change the workings and perspectives of the world in data science. Without beating around the bush much, let us put into words what it is: Data Science is a field that is all about the processing of extremely large chunks of data and information in order to formulate business and IT policies by making an informed decision about the same. Its evolution has been so rapid that it is the biggest and most-needed asset for any organization in the world; an asset without which competing in the modern world is equivalent to asking a fish to climb a tree.

WORK PROFILES IN DATA SCIENCE

The biggest question revolving around data science is what exactly is the type of work that someone working in data science does. Before answering that, one has to understand the fact that data science is a concept and not a job itself. This concept while being implemented in order to derive business value involves a lot of phases with each phase being heavily linked and dependant on each other. And it is these various phases that define the work of someone working in the field of data science. The types of job profiles include (but not limited to)

Data Scientist

Data scientists are the true brains and brawn behind any data science project. Consider them to be the most experienced and skilled person in the field (synonymous to a team lead). They are the ones who decipher huge amounts of data to extract meaning from it and aid a business to improve its operations.

Business Analyst

Business analysts are the ones who are responsible for evaluating the performance of every team involved in a project as in how exactly the idea implemented has been hitting the market, how much impact it is making, etc. and then coming up with a report for the same.

Data Engineer

Data Engineers are the ones who are responsible for curating and coming up with the set of data on which the entire project is based upon. They are also responsible for designing the underlying model and algorithms on which the data has to be run in order to come up with the appropriate results.

Data Architect

The data of an organization is its biggest asset for which they are willing to do ANYTHING to maintain its integrity and security. This is what can best describe the job of data architects. Collecting data is not the tough part, but rather sieving and filtering it to make the dataset completely suitable for the project. This is what data architects do; collect data from various sources and manage it and its sources by working in collaboration with data engineers, designers, developers, etc.

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