Mrinal Singh Walia — June 11, 2021
Beginner Consulting

This article was published as a part of the Data Science Blogathon

There are a lot of ways in which major companies and organizations utilize data compilation. Of course, being able to compile a massive amount of data does you no good whatsoever in and of itself. That being said, with the proper data science consultant help, you will be able to make use of your data in a way that will benefit your company or institution. It is well worth your investment as long as you deal with adept and knowledgeable data scientists. They have much experience dealing with an array of different highly technical and highly prominent industries. They have provided their services to countless highly successful companies and other institutions, including government organizations.


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Why Hire Data Science Experts For Your Company?

Data science is one of the most critical fields today, as it can have such profound effects on how things are done on such a massive scale. After all, data science is a field that mostly has to do with helping huge organizations coordinate highly complex networks and processes.

With such high stakes, it is easy to see why it is crucial to hire only highly reputable data science consultants. Their level of competence will have a direct and significant effect on your company and how it operates.

Data Science Is Not Easy

The nature of data science is complex. This is true, regardless of the industry you are involved in, though the specifics of how it will affect you vary accordingly.

Even those with a firm understanding of probability and statistics often struggle with some aspects because it requires computer science knowledge and specific knowledge regarding the industry for which analytics consulting is being done.

So, it is not hard to see why only highly skilled experts can legitimately call themselves data scientists.

Domains Which Can Benefit From Right Data Science Consultations

There is a long list of industries that can benefit from data science consultation. Among the industries that utilize it the most are the manufacturing industry, the medical industry, the banking industry, and air traffic.

Air traffic is an important concept, and it is relevant to various companies and institutions. The government has many different organizations, which require air traffic logistical help, precisely what data science can provide.

The same is true for commercial airlines, though, and delivery services, which utilize aircraft. Data analysis is critical when it comes to air traffic because it is challenging to coordinate all of the planes operating throughout the world.

The only way this is possible is if you have a very firm understanding of the patterns of all of your flights. Of course, this is only possible if you have help from data mining experts, who can turn your unintelligible mass of data into useful information.

The Need For Data Science To Be Dynamic


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Data science, even today, continues to confuse some people on what it is. Defined, it is the extraction of practical knowledge from data. The term “data science” was used by Peter Naur as an alternative to the term computer science. Naur is best known for his contribution to the development of the programming language ALGOL 60.

The confusion likely arose when statistician C.F. Jeff Wu presented a lecture wherein he posited using data science to mean statistics and renamed statisticians to data scientists.

Statistics In Data Science

Statistics is a field of study that mainly deals in collecting and organizing data up to the analysis and interpretation of the data, including the presentation. Thus, statistics look into the different aspects of data, including designing experiments and surveys. Considering that data science includes data mining, then it is possible that statistics cannot simply be applied in such a case.

This is where the difference between statistics and data science comes in. A statistician needs to become an expert in the field before he or she can practice. On the other hand, a data scientist can be an expert in one or two disciplines and proficient in another set of domains.

A statistician needs to be an expert in statistics. A data scientist can be an expert in statistics and be skilled in computer science. However, since it is unlikely that a person can develop such expertise early in their lifetime, data science consulting is typically done as a team. Hence, a team where each member has either the proficiency or expertise in the disciplines related to computer science, mathematics, or statistics.

Data Science Has Been Active In Two Main Areas Of Concern: Security And Clinical Data

In terms of safety, data scientists have long been involved in security and monitoring fraud. Through the use of large streams of data, scientists have discovered various threats and can prevent forgery.

In terms of clinical data, scientists have been able to help by providing the needed insight given a large amount of data, thus allowing pharmaceutical companies to know how safe and effective their new drugs are.

Whereas data scientists used to be simply consultants, now in the pharmaceutical field, they have more strategic roles by being part of the planning up to communicating the result of the clinical trials.


Indeed, the field has come a very long way from simply being an alternative term to computer science or statistics to being an actual profession. With information being passed faster and more efficiently, data scientists will need to keep up with this growing trend by increasing their competencies and skillsets. This discipline will most likely continue to evolve and could include new domains in its fold. With new emerging fields continuing to come out under this fascinating discipline, data science will be the thing to watch for in the years to come.

About Author

Mrinal Walia is a professional Python Developer with a Bachelors’s degree in computer science specializing in Machine Learning, Artificial Intelligence, and Computer Vision. In addition to this, Mrinal is a technical blogger, author, and geek with four years of experience in his work. With a background working through most areas of computer science, Mrinal currently works as a Testing and Automation Engineer at Versa Networks, India. My aim to reach my creative goals one step at a time, and I believe in doing everything with a smile.

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