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 among young people due to the exciting nature of its work and its novelty. The professionals who do this work are known as data scientists.

The demand for data scientists is increasing worldwide, 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 the 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 increase on a large scale.

With Data Science, we can learn the information 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 would be very difficult to realize just by applying the human intellect. But just extracting a diverse set of data is not enough. Success depends on building data-driven programs that improve industrial outcomes, and that’s what data scientists are experts at.

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

  1. organizing: This refers to the collection of data 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

All major companies have reported tremendous improvement in their business results by applying Data Science to mine their user data and understand how to improve their products. The main reason why 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 the accuracy of Google searches, Facebook news feed 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.

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