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.
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.
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.
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.
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