Data Science: the most popular course of the 21st century


The world is flooded with a huge amount of data that is generated daily in companies. The rise of the internet and the introduction of social media platforms have led to a further increase in the amount of data generated. You need to extract useful information from the data to add business value, but these data sets alone cannot generate value. It requires professionals who have the skills to manage these huge data sets and extract information from data. Qualified professionals are data scientists, who are considered a combination of scientific method, technology and skills and mathematical tactics.


Data science has spread its influence in almost all areas, be it healthcare, education or entertainment. The widespread development and progress in the field of data science has shown how crucial it has become for the success of an organization to outperform its competitors in ruthless entrepreneurial competition.

Netflix, for example, is the most popular entertainment fashion and is emerging as a craze in today’s generation. But how, could you ask, this is about data science?

Well, the type of movies and TV series you watch influences your collection on the home page. Netflix automatically starts suggesting movies and TV shows to watch based on what you’ve already watched. All this is done by the scientists who collect and analyze the data relating to the previous selections.

The same thing works with YouTube. Also recommend videos to watch based on the videos you’ve already viewed. This task is complex because it involves the use of specific computer programs and statistical algorithms by data scientists.

The data science craze has forced the large Fortune 500 companies to adopt the techniques and methodologies related to data science. This created the need for professional data experts.


The main responsibility of a data scientist is to collect the data sets and organize them with the help of analytical tools such as Hadoop, SAS, R, Python etc. However, all the data scientist’s responsibilities are listed below in detail.

1) Collection, organization, analysis and interpretation of data sets.

2) Understanding the business problem and using historical and current data to predict future trends.

3) Development of more innovative and advanced analytical methods.

4) Find and discover the hidden solutions in the mass of data for business problems, thus adding business value.

5) Presentation of the results of the data analysis in a clear and detailed way.


The buzz and mania created by data science requires that you study the work in detail before embarking on a career in data science. The high salary and job prospects are a major attraction. However, your personal tastes and your interest in numbers and models must be the criteria you use to determine if this professional choice suits you.

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