Why you should learn Data science in 2018 ?
everybody can learn data science, its that you need to have interest in stats and subjects related to it .
frequently has been said about data science and its weight in the corporate world today. In world of Companies , nearly every resolution is taken based on careful and scientific analysis of data.
Data has been generated in petabytes and Exabyte on a daily basis. Data is only going to grow, that too at an extremely fast pace.
well , one thing is for sure that Data Science is not a bubble that will burst in a couple of time but it is will be much more advanced and faster in the days to come. In this article you will find out what is this “data” and what is “data science” and what does it mean for you.
Data has been generated in petabytes and Exabyte on a daily basis. Data is only going to grow, that too at an extremely fast pace.
well , one thing is for sure that Data Science is not a bubble that will burst in a couple of time but it is will be much more advanced and faster in the days to come. In this article you will find out what is this “data” and what is “data science” and what does it mean for you.
Data science is a combination of various scientific methods, processes, and systems to extract insights from the large datasets (which is otherwise hidden).
Since the rise of the Internet, there has been a constant spike in the rise of data, and the introduction of social media platforms like, facebook, twitter, instagram, etc. along with the advanced smart phones has contributed tremendously in the generation of data.
Whatever an individual does social media platform like, , post a comment, like an ad, and even a simple search gets recorded and added to the enormous amount of data.
all the things is online today. From people’s friends list, buying behaviour, Photos, what they like and what they dislike, their view about a particular thing or subject, etc. All these details (data) about individuals can be scientifically analysed and utilized in creating a better online climate. From submitting the books, movies they might like, or suggesting an item they might be interested in buying.
An epitome would include, Netflix, it uses the data of billions of users regarding the movies and shows they have watched, the actors they like and the kind of movies they like.
With after running advanced algorithm (part of data science) on this data, they come with the list of movies or shows an individual will be more interested in watching and they start “suggesting” them these Films.
You may have already noticed the same thing on YouTube, when you watch few videos on YouTube; it automatically inceptions suggesting you more videos based on what you watched. This may look very simple but there are complicated algorithms operating in the background that makes this possible.
Data may have come a long way but the fact is that it has barely begun. There is a large potential in the field of data science and related fields like machine learning and artificial intelligence.
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