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Introduction To Data Science And Its Hiring Trends The landscape of Data Analytics and Big Data Science, saw initial developments about half a decade ago. Since then the said advanced analytics market has shown various signs of immense growth and development. Currently, this field is expected to grow at an average of 2630%, which is almost the double of all the other markets in the IT sector. This field has had a great, considerable impact on various business fields, as both analytics and big data have thoroughly revolutionised the way businesses function throughout the world. Today, almost every company has acclimatised itself to the amazing results that this sector has to offer. With more and more companies opting for various tools in data analytics, this sphere is becoming very important in terms of leading to crucial business decisions. Analytics is mainly used in various businesses including defence, crime prevention, governance, entertainment, education, transportation. Whereas Big Data finds its use in education, finance, transportation, retail and healthcare. While both analytics and big data form essential branches of data science, they are spoken about separately here for the reader’s understanding. Some of the big guns of the industry making use of data science in their daily operations are Amazon and Facebook. Both of these virtual big, guns have literally changed the way the consumers make use of the internet, especially by designing a more enhanced and personal experience for all of their users. For instance, Amazon is literally the biggest company on the e- retail landscape, makes use of analytics so as to curate products and makes them appear on their customers’ home pages in a bid to help them find exactly what they are looking for.

Introduction to data science and its hiring trends

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Page 1: Introduction to data science and its hiring trends

Introduction To Data Science And Its Hiring

Trends

The landscape of Data Analytics and Big Data Science, saw initial developments about half a

decade ago. Since then the said advanced analytics market has shown various signs of immense

growth and development. Currently, this field is expected to grow at an average of 26–30%,

which is almost the double of all the other markets in the IT sector. This field has had a great,

considerable impact on various business fields, as both analytics and big data have thoroughly

revolutionised the way businesses function throughout the world. Today, almost every company

has acclimatised itself to the amazing results that this sector has to offer. With more and more

companies opting for various tools in data analytics, this sphere is becoming very important in

terms of leading to crucial business decisions.

Analytics is mainly used in various businesses including defence, crime prevention, governance,

entertainment, education, transportation. Whereas Big Data finds its use in education, finance,

transportation, retail and healthcare. While both analytics and big data form essential branches of

data science, they are spoken about separately here for the reader’s understanding. Some of the

big guns of the industry making use of data science in their daily operations

are Amazon and Facebook. Both of these virtual big, guns have literally changed the way the

consumers make use of the internet, especially by designing a more enhanced and personal

experience for all of their users. For instance, Amazon is literally the biggest company on the e-

retail landscape, makes use of analytics so as to curate products and makes them appear on their

customers’ home pages in a bid to help them find exactly what they are looking for.

Page 2: Introduction to data science and its hiring trends

This process is entirely inspired by a specific user’s previous purchases and browsing history on

the website. While on the other hand Facebook, which is the big cheese among social networking

websites, gives their users a very personalized experience, by filling up their news feed, with

various nuggets of information on the basis of their likes and friends. This is where the whole

aspect of feedback, comes to be of great importance, as it helps these companies ensure they give

a fulfilling experience to their consumers.

Companies like the ones mentioned above, have begun to look for well-rounded individuals,

when it comes to professional skills and certifications. The times when specialization in just on

domain would be suffice enough to get you a job, have long become obsolete. In terms of the

field of Data Science, the hiring trends are in favour of professionals who have a strong

knowledge of the entire set of data analytics tools. This year it seems the scale has been shifted

towards the combined certifications of R and Python. In terms of educational qualifications, just

possessing a general master’s degree is no longer enough. Having specialized certifications in

various data analytics tools like SAS, R, Hadoop and so on are soon becoming the norm.

Institutes like Imarticus Learning have become sought after by data science enthusiasts, who

wish to be thoroughly efficient in one tool, in accordance with the current industry requirements.