Data Science

 Data Science

But the biggest question and confusion in the world is what is Data Science? 

we’d see data science as one and from one to many attempts to work with data, to find answers to questions that they are exploring. On summarizing all, we can say that it’s much more about data than about science. If you have proper or improper data, and you have curiosity for working with data, and you’re manipulating it according to your needs, you’re exploring it according to your needs, the very exercise of going through analyzing data, trying to get some answers or fulfill the society need from your explored, manipulated and exercised Data – it is Data Science. 

Data Science is relevant today because we have millions of data available on single data or for single data. We didn’t use to worry about the lack of data. Now we have tons of data. In the past, we didn’t have defined algorithms, now we have algorithms. In the past, the software was not affordable by everyone because it was too expensive, so only industries with big-bucks can use it but now it is open source and freely available. In the past, we didn’t even think about storing a large amount of data, because the storage facilities are also very costly and now it is available for a fraction of a cost, we can have gazillions of data sets for a very low cost. Also, internet connectivity was not common and too costly. So, the tools to work with data, the variability of data, the ability to store, analyze data and last and most important Connectivity, it’s all cheap, it’s all available, it’s all ubiquitous, it’s here. There’s never been a better time to be a data scientist than now. 

Applications of Data Science:

Following are some of the applications that makes use of Data Science for it’s services:

• Internet Search Results (Google)
• Recommendation Engine (Spotify)
• Intelligent Digital Assistants (Google Assistant)
• Autonomous Driving Vehicle (Waymo)
• Spam Filter (Gmail)
• Abusive Content and Hate Speech Filter (Facebook)
• Robotics (Boston Dynamics)
• Automatic Piracy Detection (YouTube)

Who is Data Scientist?

Is he/she someone struggling with data all day and night or experimenting in his/her laboratory with complex mathematics? After all, ‘Who is a Data Scientist’? 

There are many definitions available in the market for Data Scientists. In simple words, a Data Scientist is one who knows and practices the art of Data Science. The super-popular term ‘Data Scientist’ was coined by DJ Patil and Jeff Hammerbacher. Data Scientists are those scientists who crack complex data problems with their strong expertise in certain scientific disciplines. They work with many elements related to mathematics, statistics, probability, Quantitative and Qualitative forecasting, computer science, etc. (though they may not be an expert in all these fields).