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Data Science Vs. Big Data Vs. Data Analytics

  • Data science

This is a Field that deals with the preparation, cleansing, and analysis of both structured and unstructured data. It comprises of mathematics, statistics, programming combined with problem-solving skills. Data Science is a general field but one can specialize in one of the Data Science certification courses or the Data science face-to-face courses. Individuals with knowledge in this field are referred to as Data Scientists. Alos, understand how to build the career in data science.

The role of a data scientist is to give accurate predictions according to a set of data obtained from a certain business. Their decision and prediction take various steps including capturing the data, processing and storing the data, analyzing and generating insights and finally making a proper decision and prediction.

  • Big Data

As the name suggests, Big Data is a huge amount of data that cannot be stored and processed effectively by traditional techniques. Individuals with knowledge of Big Data are referred to as Big Data Specialists.

With suitable analytics, Big Data can be used to determine the causes of business failure, cost reduction, time-saving, better decision making and new products creation. This is the role of the Big Data specialist.

  • Data analytics

This is the field that deals with the scrutiny of raw data with the aim of getting conclusions about the information contained in the data. It mainly involves algorithms and mathematics which are used to draw insights into the data. Professionals in this field are referred to as Data analysts.

Professionals in these three fields can work in a variety of areas. Some of the applications are in communication, financial services, in retail businesses for analyzing data and achieving competitive advantage, in healthcare, in gaming to come up with effective probabilities among other many areas.

These three areas of study compare in various ways. They all require sufficient programming skills especially in Java, Python, and R Language. They also require proper understanding of mathematics and statistics, enough Hadoop training and Hadoop administration certification, together with business and computer science. Their difference is with the specialization and the fact that Data Science is more general than the others.

People who should consider Hadoop Certification course?

  1. Programming Developers and Architects

  2. Experienced working professionals and BI /ETL/DW professionals

  3. Big Data Hadoop Developers eager to learn other verticals like Testing, Analytics, Administration

  4. Developers and Architects

  5. Senior IT and Testing Professionals

  6. Mainframe professionals

  7. Graduates and Post Graduates

I believe that now you have enough information to make a proper decision on which course to take to suit your need. With that, it is essential for you to learn in an institution that focuses on helping you to fulfill your dream. The IT Skills institute in Bangalore is an institute that offers offline training in advanced technology and all other related courses. Their aim is to equip you with the knowledge of the current and upcoming technology hence keeping you updated and flexible with the continuously digital world. These three Data courses are offered in this institute. They are taught by highly trained and practical tutors hence assuring the expertise of the graduates. Be sure to visit them for better learning. 

The post Data Science Vs. Big Data Vs. Data Analytics appeared first on IT SKills Training Blog.

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Data Science Vs. Big Data Vs. Data Analytics

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