What is data science?

The wide application of Information Technology and Computer Science has given rise to so many new fields in the business sector that have enormous potential and possibilities. One of the fastest growing careers among them is data science, which has become extremely popular with young people due to the exciting nature of its work and its novelty. The professionals who perform this work are known as data scientists.

The demand for data scientists is increasing all over the world, and world-renowned organizations have listed this profession as the best profession of the 21st century. And the fact that there are not enough data scientists today means great opportunities for newcomers in this field.

What is data science about?

We live in an age where we are surrounded by data. Communicating with all this data is a challenging task. Previously, industries relied on simple tools like 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 led to its rise to a large scale.

With Data Science, we can learn the hidden information in the data, and by applying analytics, we can use this information to solve business problems, forecast future trends, and understand certain patterns that would be very difficult to realize by applying human intellect alone. But just mining a diverse set of data is not enough. Success depends on building data-driven programs that improve industry outcomes, and data scientists are experts at that.

It is actually a platform where Business, Information Technology and Statistics come together. The work of a data scientist includes:

1. organizing: This refers to data collection through open source software frameworks such as Hadoop and SAS.
2. Modeling: This is where a data scientist transforms, integrates, and refines the data to understand it and create statistical models that can be applied to solve the problem at hand.
3. giving out: After building a model, the data scientist explains the model to the client and other members.

Benefits of applying data science in industry

Every major company has reported a tremendous improvement in their business results by applying Data Science to exploit their user data and understand how to improve their products. The main reason that companies like Google, Amazon, and Apple are so far ahead of their competitors is that they are making excellent use of data science to track each and every user and draw inferences from their behavior and pattern. shopping. This can be easily seen in Google search accuracy, Facebook news recommendation, and Amazon product suggestions. But this is not the end because data science is also creating milestones in industries such as medical science, banking and finance, online education, security systems, the aviation industry… and this list can go on and on.

Your way to becoming a data scientist

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