You will all agree that our dependency on technology, especially apps, has increased substantially. From shopping, planning tasks to learning something new, it can all be done via a screen today. But did you know that no platform would ever be effective in solving our problem if it wasn’t for the people actually analyzing heaps of data generated at the back-end? For example, you need to get to school on time and you enter your destination on Google Maps,it would readily show you an estimated time of arrival via a certain route. How do you think that happens? This is based on data gathered from all the other people on the same route who are using the app, analyzed and curated by a team of people who specialise in the field of data science.
These are the people who collect data, analyse it, gather information and use algorithms and technology to solve analytically complex problems – forming the backbone of businesses and products today. To make sense of this data and create solutions they make use of technologies like machine learning, artificial intelligence as well as mathematical principles.
On a lighter note, entering the field of data science is almost like being a detective. You will be given multiple cases to work with, each of which is a new field, understand how it works, acquire data and then work with it.
Are you feeling a little muddled about what it really is? Here are some simple applications of data science for you to get a better understanding:
Data Science is an emerging and fast growing career choice
As you can see, data science is used EVERYWHERE and it is projected to grow by 28% by the year 2020, according to a report by IBM. In its 2018 U.S Emerging Jobs report, LinkedIn ranked Machine Learning Engineers and Data Scientists among the top emerging jobs.
Data is everywhere now, and as per a Forbes report , by 2020, about 1.7 Mb of data will be produced every second by each person on Earth.With such a huge surge of opportunities, data science definitely seems to be the future and the only question that remains is – Are you ready?
Get started on a career in data science
This is a field which requires you to dabble in quite a number of disciplines and demands a wide range of skills- Mathematics, Statistics and Computer Science along with knowledge about the product or business you are dealing with.
Graduation courses: Mathematics, Statistics, Economics, Engineering, Computer Science, etc. can help you create a strong foundation.
Post graduation courses:Business analytics, big data, data science, or subject specific courses like Mathematics, Statistics, Computer Science, etc.
Tier 1 colleges:
Tier 2 colleges:
According to the LinkedIn 2018 Emerging Jobs Report, the top skills required in this field are: Data Science, Data Mining, Data Analysis, Python and Machine Learning
One special course we came across is a 11 month online PG course co-developed by IIT Bombay and UpGrad as a postgraduate program in Data Sciences. There are a lot of other opportunities like this one where you can do online courses on data science.
How to stand out from the rest in this field? Build a strong foundation in Mathematics, Statistics and Programming. Don’t forget to brush up your organisational skills!
There are a multitude of roles which are open to you in this field. But, essentially it is all about discovery, insight, and innovation. You will be donning the role of a lifelong scientist and changing the world in amazing ways! Is this something that excites you? Then jump on board and start preparing for a career in data science.
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A self love warrior and a believer of 'hugs make life better' - Nidhi Tom is a member of team StoryWeavers. Currently, she is in the pursuit of finding the right balance between making nutty travel plans, cozying up in her happy place-the bed and weaving fun and quirky tales. Do write in to firstname.lastname@example.org if you want to share your stories, thoughts or any random rants with her.
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