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The Three Major Components Of Data Science
The field of Data Science can be interpreted as the study of the process of obtaining and organizing information which is encrypted from Big Data. The implementation of Data Science on the business data can help the enterprises in knowing the performances of their business processes & helps then in making accurate business decisions that are bound to achieve the desired goals & objectives. It also helps in addressing solutions to most of the complex business problems by analyzing Big Data.
Data Science involves the use of statistical methods and other mathematical processes to accurately interpret with Big Data. Data Science, when applied to a specific industry, involves data mining, statistical analysis, database management, and web applications. Work towards leveraging real-world skills & hands-on expertise in all the advanced concepts in Data Science with the help of our advanced Data Science Training In Hyderabad program.
Now, let’s look at the three major components of Data Science.
- Big Data
The process of global digitization has led to the generation of Big Data in large volumes. Videos, clicks, images, contents, RSS feeds, articles, etc, that means, every activity that we execute over the internet generates data of some type (organized or unorganized). Data Science is having a number of tools & techniques for effective Big Data management and analysis. With the help of these tools & data modeling techniques Data Scientists will be converting the information from Big Data into actionable insights.
- Machine Learning
The use of Machine Learning techniques in Data Science involves the use of mathematical models and algorithms, Machine Learning algorithms are used in training the data models to accurately predict the occurrence of future events by analyzing the present and historical data. Data Science when combined with Machine Learning algorithms, Data Scientists will find it easy to process the data in a certain way.
- Business Intelligence
Every business activity as simple as sending a business email will be generating data either in a structured or in an unstructured format. In this way, every business organization these days has large reserves of Big Data. Subjecting this data to the analytical models in Data Science it becomes easy to extract the insights & generate visual reports like graphs. This approach will empower the stakeholders to make good decisions that can help the business to scale & grow.
Know more in-depth about the different Data modeling techniques in Data Science & work towards developing real-world Data Science skills by being a part of our Kelly Technologies Data Science training program.
Kumar Raja is a multidisciplinary writer, and lifelong learner. He’s a Digital Marketer in the making who spends his time analyzing the developments in the tech world. He’s very passionate about helping people understand the latest trends in the tech world through his well-researched articles. He’s able to condense complicated information about the latest technologies into easily digestible articles.