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

DATA SCIENTISTS AND THE DATA-DRIVEN WORLD

The world is inundated with an enormous 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. Extracting useful insights from data is necessary to add business value, but these data sets alone cannot deliver value. It requires professionals who have the expertise to handle these huge data sets and extract insights from the data. Qualified professionals are data scientists, which are considered to be a combination of the scientific method, technology, and mathematical skills and tactics.

APPLICATION OF DATA SCIENCE

Data science has spread its influence across 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 the success of an organization in outperforming its competitors in cut-throat business competition.

Netflix, for example, is the most popular entertainment craze and is emerging as a craze among today’s generation. But, you may be wondering, 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 automatically starts suggesting the movies and TV shows you should watch based on what you’ve already watched. All of this is 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 software 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 the need for professional data scientists.

WHAT ARE ALL THE RESPONSIBILITIES ATTACHED TO THE LIFE OF A DATA SCIENTIST?

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

5) Present the results of the data analysis clearly and in detail.

FINAL WORD

The hype and craze created by data science requires you to study the job in detail before pursuing a career in data science. The high salary and job prospects are a big draw. However, your personal tastes and interest in numbers and patterns should be the criteria you use to determine if this career choice is right for you.