Data Science: The Most Popular Course of the 21st Century


The world is flooded with an enormous amount of data that is generated every day 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 your data to add business value, but these data sets alone cannot generate value. It requires professionals who have the experience to handle these huge data sets and extract insights from the data. Qualified professionals are data scientists, who are considered a combination of scientific method, technology, and mathematical skills and tactics.


Data science has spread its influence in almost every industry, be it healthcare, education, or entertainment. The widespread development and advancement in the field of data science has shown how crucial it has become to an organization’s success in beating its competitors in cutthroat business competition.

Netflix, for example, is the hottest entertainment craze and is emerging as a craze among the current generation. But, you may wonder, how does this relate to data science?

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

The same works with YouTube. It also recommends the videos to watch based on the videos you have already watched. 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 large Fortune 500 companies to adopt the techniques and methodologies related to data science. This has created a need for professional data scientists.


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

1) Collect, organize, analyze and interpret data sets.

2) Understand the business problem and use both historical and current data to predict future trends.

3) Develop more innovative and advanced analytical methods.

4) Finding and discovering the solutions hidden in the mass of data for business problems, adding business value.

5) Present the results of the data analysis in a clear and detailed manner.


The excitement and craziness created by data science requires you to study the job in detail before pursuing a career in data science. High salaries and job prospects are a huge draw. However, your personal tastes and interest in numbers and patterns should be the criteria you use in determining whether this career choice is right for you.