Data Science is a detailed study of the flow of information from the colossal amounts of data present in an organizations repository. It involves obtaining meaningful insights from raw and unstructured data which is processed through analytical, programming, and business skills.
In recent years, there is a huge growth in the field of Internet of Things, due to which 90 percent of the data has been generated in the current world. Every day, 2.5 quintillion bytes of data are generated, and it is more accelerated with the growth of IoT. This data comes from all possible sources such as:
This data is known as big data
Companies are flooded with colossal amounts of data. Thus, it is very important to know what to do with this exploding data and how to utilize it.
It is here, the concept of Data Science comes into the picture. Data Science brings together a lot of skills like statistics, mathematics, and business domain knowledge and helps an organization find ways to:
And the list is endless!
Therefore, regardless of the industry vertical, Data Science is likely to play a key role in your organizations success.
Data science involves a plethora of disciplines and expertise areas to produce a holistic, thorough and refined look into raw data. Data scientists must be skilled in everything from data engineering, math, statistics, advanced computing and visualizations to be able to effectively sift through muddled masses of information and communicate only the most vital bits that will help drive innovation and efficiency.
Data scientists also rely heavily on artificial intelligence, especially its subfields of machine learning and deep learning, to create models and make predictions using algorithms and other techniques.
Data science generally has a five-stage lifecycle that consists of1:
We, at Prata, are devoted to data science services as we see many improvements that it can bring to businesses, regardless of the industry they represent.
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