So many cool applications of data science

Data Science course…. It is widely known how much science has contributed to the world. We have been able to push many boundaries in recent years due to science. However, data was relatively unimportant until recently. Due to the enormous strides in technology, managing data has become extremely crucial. The two words put together is a concept so huge, it has introduced a whole new world of possibilities. Data science comprises (but is not limited to) data analytics, data unification, big data, etc.

Data science is a fusion of subjects like statistics, artificial intelligence, data mining, machine learning, and information retrieval. It is a multi-disciplinary field where problems are solved using efficient algorithms along with powerful hardware. As one of the most sought after jobs of the century, data science has now become a buzzword. Due to its industrial acclaim, many universities around the world now offer a data science degree. But as of now, there is no definitive course structure. Nevertheless, continuous efforts are being made to make the subject coherent and organized.

We can see data science at work in our daily lives. Be it any online streaming website like Netflix or Amazon Prime, big data in malaysia is used to see what type of content the consumer is watching to produce more shows with similar content. Similarly, the same data can be used to suggest shows to the user from the existing collection. This also applies to the online shopping industry. Search histories provide all the information on what a particular person is looking for and makes it possible for data analysts to provide relevant recommendations. Even in Gmail, there is an algorithm which checks whether an incoming e-mail is junk based on similar concepts. Last but not least, self-driven cars use machine learning algorithms to identify traffic lights, pedestrians, etc.

But all of this fascinating technology is being governed by statistics and a ton of other operations. After thousands of lines of computer codes and even more simulations, a simple model is successfully realized. But everything essentially boils down to the original data available. Any dataset has common faults like null datapoints, duplicate datapoints, etc. The process of removing these errors and making the data more usable and relevant is data exploration. Data exploration provides the characteristics, correctness, and possible relationships within the dataset. This is an integral part of both data mining and machine learning algorithms at 360DigiTMG.

Machine learning has quickly become a very exciting field. It is one of the applications of artificial intelligence. Using machine learning, computers gain the ability to learn without being explicitly programmed. Regression analysis, dimensionality reduction, clustering, and neural networks are the most important concepts of machine learning. These concepts form the foundations of data science and can do wonders for us when tweaked in the right places.

Overall, it may be said that data science training is a vast field involving numbers and codes working in tandem, being involved in many daily life applications. All the branches have intricate relations with each other providing extraordinary applications. As for the future, data science still has a long way of progression. Thankfully, it is getting the required support as well. Many organizations have now made their academic publications accessible to enhance reproducibility and transparency of research data. Multiplicative returns have been seen on investments in data science projects and everyday people with a potent mix of different skills are being hired to turn the corner and change the face of the world...

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