Why is Data Science Important?

Data can be defined as the group of words or numbers in a collective form which helps to gain some insights. This set of information which when analyzed gives a decisive result. In other words, it is the information that has been transformed that provides a very efficient form for processing something. According to computer language, data is a binary digital form of information. It is the bits or bytes inside the memory of any electronic device. A particular manner or pattern of information can be named as data which when processed produces effective results. 

What is Data Science?

We are living in the world of Big Data where one can get almost every piece of information as per their requirements. Data science is an associative and incorporative field that deals with vast volumes of information using some techniques and modern tools to bring out meaningful information, derive unseen patterns, and help in making decisions related to business. In other words, data science uses different mathematical algorithms, rules,  schematics, and artificial intelligence to deal with a huge collection, aligning, manipulation,  refining, storage, and utilization of information.

It is one of the most popular methods which helps to transform raw data into meaningful conclusions that help reduce costs, improve earnings, seek new business opportunities and enhance customer experiences, and much more. Its popularity has been growing for some years and hence many organizations are implementing data science to improvise their business and provide customer satisfaction.

Today, this field has become so popular that people are taking a data science course in Kolkata, Pune, Chennai, Bangalore, and many other cities to gain relevant knowledge. 

Biorhythm of Data Science 

There are five different stages involved in the data science process named as capture, maintain, process, analyze and communicate. In the capturing stage, the collection of unstructured and structured data is performed such as data entry,  data acquisition, signal reception, etc. In the maintenance stage, it changes raw data into a usable form such as data cleaning, data warehousing, data staging, data architecture, etc.  In the processing stage, the data scientists take the information and examine the patterns and ranges for the response such as data mining, data modeling, data summarization. 

Qualitative analysis, Confirmatory, Exploratory, Predictive analysis, Text mining, Regressions are examples for the analysis stage. Here comes the exposure to real-world problems where this stage helps to analyze the information. Lastly, in the communication stage, the analysts prepare the final form of data which is easily readable in the forms of charts,  graphs, spreadsheets, and reports. This includes Business Intelligence, Data reporting,  Data visualization, Decision making, etc.

Advantages of Data Science 

In this highly demanding digital world,  every second a huge amount of data is generated from various kinds of sources available. Due to this reason, Data Science has become very useful in most of the fields and has varieties of advantages. They are as follows: 

• • Varieties of job options: since Data science is in great demand in contemporary times, there are multiple options available for the career opportunities such as Data Scientists,  Research Analysts, Business Analysts, Big Data engineers, Data analysts, etc. 

• Highly paid jobs: Data scientist is considered to be the most popular designation and offers a handsome salary. The average salary of Data scientists In India is INR 10,00,000 per year according to Glassdoor.

• Business Benefits: Data Science helps in tracking the organization’s status about when and how their products are best sold. And thereby they decide the appropriate time and place for the product delivery. Through data science, more efficient and fastest decisions can be derived for the organization and more profits can be earned.

Applications of Data Science 

All research and development organizations require an updated system of operations with new and advanced technologies like data science to enhance the growth of an organization and clients satisfaction. There are some different applications of data science discussed below:

For Business: It provides in-depth knowledge which is generated through the big data after the information is extracted and processed. Presently, data science is the basic need of every business to define its forecasts and figures based on the predictions derived from the collected and processed data.

For Medical Researches and Health care: Data science is very important for advanced technologies like machine learning and artificial intelligence. It has been infused with medical science to carry genetic and biomedical research with ease. Through data science, the copy of genes of humans (DNA) is generated. With the help of DNA modeling, it is easier to understand the structure and configuration of the human body’s development and its functionalities.

The data generated is used in designing various healthcare products, equipment used in fitness, medicines, that are common for a number of groups of people having the same problems.

For Education:  A huge amount of student data is generated by the websites,  online forums,  different online portals which show the choice and concerns regarding the selection of the field of study, personal interests,  preferred universities, occupation, and career opportunities. The blueprint of data collected through this is helpful in designing a roadmap and guides for higher studies and career opportunities.

Some of the technologies including voice recognition, fingerprints recognition and eye detections for mobile phones and passengers verification, motion sensor cameras for better surveillance have been made possible with the help of data science and artificial intelligence. It is used in many safety and security technologies. It has helped in providing enhanced privacy and also increased personification in smart devices. 

Conclusion 

We have discussed above all the aspects of data science and how vital it is in every field. Hence in contemporary times, there is a great scope for professionals to choose data science as a career. It plays a very important role in every industrial sector like education, finance, marketing, aviation, etc. to provide better planning and expansion. It is also refining healthcare and the medical sector and has recently helped governments across the world fight the pandemic. It has saved a lot of lives and livelihoods for millions of people. So, start your career in data science today.