What is data science?

The wide application of information technology and computer science has led to the emergence of many new areas in the corporate sector that have huge potentials and capabilities. One of the fastest growing professions among them is Data Science, which has become extremely popular among young people due to its exciting nature of work and novelty. The professionals who do this job are known as data scientists.

Data scientists are in high demand all over the world, and reputable organizations in the world have listed this profession as the best career of the 21st century. The fact that there aren’t enough data scientists out there right now points to great opportunities for newcomers in this field.

What is data science all about?

We live in an age where we are surrounded by data. Communicating with all this data is a difficult task. Earlier, industries relied on simple tools like BI for data mining, but with the advent of technical statistics and computer science, this has evolved to be known as Data Science. The introduction of big data and its relationship with information technology has led to an increase in its size.

With Data Science, we can find out what information is hidden in the data, and by applying analytics, we can use this information to solve business problems, anticipate future trends and understand certain patterns that are difficult to implement just by applying human intelligence. But mining a variety of data alone is not enough. Success depends on building data-driven software that drives industrial outcomes, and that’s what data scientists are great at.

It is, in fact, a platform where business, computer science, and statistics come together. A data scientist job includes:

1. to organize: This refers to data collection through open source software frameworks such as Hadoop and SAS.
2. modeling: This is where a data scientist transforms, combines and refines data in order to make sense of it and create statistical models that can be applied to solve the problem at hand.
3. delivery: After creating the model, the data scientist explains the model to the client and other members.

Benefits of applying data science to industry

All of the major companies reported an excellent improvement in their business results by applying Data Science to exploit user data and understand how to improve their products. The main reason companies like Google, Amazon, and Apple outperform their competitors is that they make excellent use of Data Science to track each user and draw inferences from their behavior and shopping patterns. This can be easily seen in the accuracy of your Google searches, Facebook newsfeed recommendation, and Amazon product suggestions. But this is not the end because data science is also creating milestones in industries such as medical sciences, banking and finance, online education, security systems, aviation industry… This list can go on and on.

Your way to becoming a data scientist

Data scientists are the professionals who have good knowledge of programming, statistics, mathematics and computers. They can handle any kind of data and manipulate it to make it meaningful. The online course is designed to prepare students who are experts in all the concepts and tools used in data science.