{"id":41839,"date":"2017-10-04T10:00:55","date_gmt":"2017-10-04T04:30:55","guid":{"rendered":"https:\/\/staging-imarticus.kinsta.cloud\/?p=41839"},"modified":"2021-10-20T06:49:28","modified_gmt":"2021-10-20T06:49:28","slug":"data-science-things-you-should-know","status":"publish","type":"post","link":"https:\/\/imarticus.org\/blog\/data-science-things-you-should-know\/","title":{"rendered":"Data Science \u2013 Things You Should Know"},"content":{"rendered":"

Data or Big Data is the new buzz word. No matter where you are from, across all lines of work, you cannot deny coming across Data Science. You might not understand data science<\/a> and all that comes along with it, but you cannot deny that the impact of Data Science<\/em> is enormous, and it mostly changes things around it for good.<\/p>\n

Where is this data coming from and why now?<\/h2>\n

Now a day\u2019s over six billion devices are connected to the internet, all the applications and devices that are connected have users and their movement on the internet generates data, it is estimated more than 2.5 million terabytes of data is created in almost 24 hours. That is humongous!! And as technology keeps getting added into our daily lives, these volumes are going to increase exponentially.
\nThis is the fascinating piece of information, especially if you are from the field of IT. More so because recently there have been massive layoff drives in India within the tech companies. Like the law of nature goes, it is time for IT professionals to evolve or perish, and what better time than now to dive into the world of data science.
\nSo if Data Science<\/strong><\/a> is of interest to you, or for a quick understanding of the subject, read along.
\nData Science is coined as the \u2018Sexist job of the 21st<\/sup> century<\/strong>\u2019 <\/u><\/em><\/u>by the Harvard Business Review. Since there are such huge volumes of data that is created on a daily basis, you need the skills from the data science field to get insights from this information and set things on track.
\nData science is used to Optimize Performance.<\/em><\/strong> So if you use the GPS or make online purchases, do you notice how the next time you try to move online, you see the internet throwing the right recommendations? The data that you are generating online come back to you as optimized performance, due to data science insights.
\nIf you wish to progress in this field, there are certain skill sets you would need, like Statistics, Knowledge in Data Science Tools, a Business Acumen, excellent Communication Skills, Inquisitive and Analytical Mindset, skills to successfully work on data, ability to find patterns and extract information.<\/em>
\nGood news is that you don\u2019t necessarily need to have a degree like a PH. D, however certification in the fundamentals of analytics along with the required technical skills should be a good starting point.
\nSince Data Science is a vast landscape, possessing all working knowledge about it is not possible, knowledge in globally recognised technologies like SAS, R, Python, SQL Database and Hadoop will make it easier for you to make a switch or enter the field of data science.
\nData science requires niche skills and deep understanding of analytics.<\/strong>
\nAnalytics can be broadly classified into three categories,<\/strong><\/p>\n