Existence of Data Science

Here I am going to say why has Data Science come into existence. Basically in today's world there is a rise in the amount of data in huge volume. The traditional methods like DBMS(Database Management System)have started to fail in a number of cases we have seen in today's world like server failure,server crashing etc so to cater this need Data Science has come into existence. The existence started long back in 1960. But due to lack of technology and powerful computers it was very difficult for the evolution of Data Science. But today in the 21st century with the advancement in technology(Powerful GPU,Supercomputers etc)Data Science has progressed a lot. Due to this vast inference, new age learners and working professionals are keen to learn this technology. To curb this, various online data science course in Bangalore are available through which one can master data science and begin career as a data scientist.

It also incorporates number of powerful tools like Supervised Learning(a type of learning where the outcome is known and the machine is trained number of times till it gives the required output). Supervised learning uses two important techniques ie Regression(use statistical methods to predict the outcome)and Classification(used to classify the data into its types).

Data Science tutorial for beginners

What is Data Science?

So let's see what is Data Science? It is a branch of Computer Science where we use scientific methods or algorithms or statistics to extract knowledge from data. Basically it is the combination of computer Science and Mathematics. For example Balabit Dataset-It basically has the detailed mouse movement of an user like drag,pressed,released etc. But when we try to analyse the data set we can know about the behavior of the person when he is using the computer(ex-lazy,active etc). Similarly by analyzing the key stroke of an individual we can predict his/her behavior.

Data science is also the pathway to Artificial Intelligence & Machine Learning. The reason is by analyzing the data we can come into a number of conclusions as mentioned above but this conclusion can be used as a building block for Artificial Intelligence. For example, consider driver-less cars. In driver-less cars the computer in the car is trained with a huge number of images(like obstacles,traffic lights and signals). These all images are analysed thoroughly using techniques like Regression,Classification etc. From here conclusions are drawn out and by using Machine Learning Algorithms the computer is trained. Hence we can rightfully say that Data Science is the pathway to Artificial Intelligence.

How to use Data Science?

Let's consider the example of the Balabit Data set and find out how we can know the behavior of a person by just analyzing his/her mouse movement. Here to analyse the mouse movement we draw the curves of X Vs Y in X axis we fit the X axis movement of the user and in Y axis we fit the Y axis movement. The curves are basically very rough with a large number of knots(loops) to smoothen the curve we use statistical methods like C-spline,I-spline,B-spline,DTW graph etc. Hence after making the curves smooth we can check the behavior of various curves along with the time axis now. By analyzing its behavior along with the time axis we can conclude like(time he was idle,dragging the mouse in various situations like hurry,anger etc). Hence by classifying the various conclusions we can analyse the person and his mood.

Career in Data Science

Now let's consider the Data Management here Data Science uses Big Data tools like Hadoop,Spark etc that help in the management of huge data by using techniques like Clustering algorithm etc. These techniques are being currently used by Google,Yahoo,Facebook where a huge amount of data is stored from all over the world.

Conclusion

With the increase in demand on data and its characteristics data science is playing a major role to do so. Ex siri, Google assistance etc. that has made our daily day to day life easy. The greatest boon is Google Maps which helps us to know the direction in unknown places. So with the increasing complexities Data Science has always stood up to make the work more easier and comfortable.