Data Science has become a common terminal in the past years but many people do not seem to know the exact meaning of it or some might get it confused with other things. It is neither solely statistics nor a piece of science work. It is also not a work of software engineering. So what exactly is Data Science?
Data Science is summarized as a recently developed emerging field which includes programming, statistical alacrity, visualization tools and business knowledge. A person working with Data using these techniques is referred as a Data Scientist. He is the linker between the data world and the business world. You might be wondering how? The answer is very simple. Every second, a large amount of data is generated from various sources. This data is either structured or unstructured. While the former has a defined format and can be easily interpreted, the latter does not have a predefined manner and includes multimedia, presentations, webpages which cannot be sorted. The data is initially collected, then formatted, analyzed, executed and lastly visualized in the form of presentations. This visualization is critical as it helps the business domain to understand the trend and strategize for their sales and profits.
Requirements of Data Science:
The demand for Data Scientists has been apace because both the successful companies as well as start-ups depend on them to manage the data produced by their customers. The best example is the recommendations provided by a shopping site or search engines based on your recent activity. Not only business, but also the fields of medicine, media, finance generate a bulk of data every single day, thus offering jobs in almost every sector.
Responsibilities and Prerequisites of a Data Scientist:
To become a Data Scientist, one must have avidity in statistical mathematics, technical computer programming skills, thinking caliber and a strong business acumen and verbal skills so that they are able to translate the techie language and share the observations with businessmen and contribute in finding solutions in their business problems. Both large and small organizations, irrespective of the field, require Data handlers to interpret and analyze the data they create every single day.
Becoming a Data Scientist:
If you seem to correlate your skills with the ones mentioned above, you can become a Data Scientist which is a most promising job title in today’s technological world. To become a Data Scientist you need a background of Mathematics, Computer Science, B.Tech or MBA. This field also offers freedom to work on the projects that matters/interests you.
You need to possess a good knowledge of varied tools such as SAS, R, Python, SQL, Tableau, Machine Learning, IoT, Six Sigma, Mind Mapping, Data Mining, Data Optimization, Minitab, Scala and Spark to name a few.
Practical knowledge via case studies or boot camps in addition to Theoretical studies might just increase your chances of getting hired.
