Saturday, April 20, 2019

Data Science: The pinnacle of all professions

What is data science?

The widespread use of information technology and computer science has created many new areas of potential potential and possibilities in the corporate sector. One of the fastest growing practitioners is data science, which is very popular among young people because of its exciting work nature and new features. The professionals who do this work are called data scientists.

The needs of data scientists are increasing worldwide, and world-renowned organizations have ranked this profession as the best career of the 21st century. In fact, there are currently not enough data scientists to offer great opportunities for newcomers in this field.

What is data science?

We live in an era surrounded by data. Communicating with all of this data is a challenging task. Earlier, the industry relied on simple tools such as BI for data mining, but with the advent of technical statistics and computer science, this has evolved into data science. The introduction of big data and its relationship with information technology have led to a significant increase in its size.

Through data science, we can understand the hidden information in the data. Through application analysis, we can use this information to solve business problems, anticipate future trends and understand some models that are difficult to implement by applying human intelligence. However, it is not enough to just mine some different data. Success depends on building data-based programs that can improve industrial performance, which is what data scientists are good at.

It is actually a platform that combines business, computer science and statistics. The work of data scientists includes:

  1. organization from

     : This refers to collecting data through open source software frameworks such as Hadoop and SAS.
  2. modeling from

     : This is where data scientists transform, integrate, and optimize data to understand the data and create statistical models that can be used to solve the problem at hand.
  3. Delivery from

     : After building the model, the data scientist explains the model to the client and other members.
The benefits of applying data science in industry

By applying data science to develop user data and learn how to improve their products, all major companies report significant improvements in their business outcomes. The main reason why companies like Google, Amazon and Apple are so ahead of their competitors is that they are leveraging data science to track each user and learn from their behavior and shopping patterns. This can be easily seen from the accuracy of Google search, Facebook news feed recommendations and Amazon's product recommendations. But this is not the end, because data science has created millions in the medical sciences, banking and finance, online education, security systems, aviation industry, etc... This list can continue.

How you become a data scientist

Data scientists are professionals familiar with programming, statistics, mathematics, and computers. They can process any type of data and process it to make it meaningful. The online course is designed to prepare all the concepts and tools used in data science for student experts.




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