Data Science vs. Big Data vs. Data Analytics

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• Session 1

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• Data is ruling the world, and we can see its
  impact on almost all the business niche. It is
  not only helping in creating new and
  high-performing tools and techniques, but at the
  same time, data is also forming the base for
  strategizing business policies. So, we can say
  that our reliance on data is increasing. It is
  expected that by the end of 2020, we will have
  our 1.7 megabytes of new information created
  every second for every human being. Here, you
  must know that the available data is staggered,
  and it has to be organized so that it becomes
  informative. Here comes the role of techniques
  like big data, data analytics, and data science.
  Owing to these technologies' growing importance,
  we are witnessing a great demand for big data
  training, data analytics certification, and data
  science training to have data experts.

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Big Data vs. Data Analytics vs. Data Science

• Data Science- It deals with the structured and
  unstructured data. The work of data scientists is
  to analyze the data and take out the informative
  part. Data cleansing, preparation, and analysis
  are a part of Data Science.
• It makes use of different statistical,
  mathematical, and programming tools to capture
  data ingeniously. It aims at extracting insight
  from data.
• Big Data- Big Data begins with raw data, and it
  has to deal with a humongous volume of data that
  needs special tools for processing.  It is used
  to analyze insights that can eventually help in
  improving the decision making process.

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• Data Analytics- It is used to examine raw data to
  derive useful information.  In this, the expert
  has to apply algorithmic and mechanical processes
  to derive useful information. Many companies are
  now using data analytics to derive useful
  inferences, which can help them formulate their
  business strategies.
• Application
• Data Science-
• Internet Search- The search engines make use of
  data science to provide better results and the
  ones that would match customer's queries.
• Digital Advertisements- Another area where data
  since finds application in the digital marketing
  world like display banners and digital
  billboards.

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• 3. Relevant products- Yes, with the help of data
  science, it becomes easier for the companies to
  put forward those products which are in great
  demand by the customers. The algorithm studies
  the previous purchases and buying behavior of the
  customer, and based on it the recommended
  products are presented.
• Big Data-
• 1. Financial services- Companies dealing with
  credit cards, banking services, financial
  advisories, insurance firms, and institutional
  investment are using big data. These companies
  have a huge amount of unstructured data, and they
  are scanned via
• Fraud analytics
• Customer analytics

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• Operational analytics
• Compliance analytics
• 2. Communications- It is imperative for telecom
  companies to retain their customers and increase
  their subscriber base. The best way to combat
  this issue is by daily analysis of customer
  behavior. Since this number is massive, big data
  techniques will be useful here.
• 3. Retail- Retail stores have to deal with a
  massive amount of data, with the right analysis
  of this data, it will be easier for them to serve
  their customers better. The right kind of data
  assessment tool under Big Data will be beneficial
  in this.

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• Data Analytics
• Healthcare- It is imperative for hospitals and
  other medical care facility providers to control
  the cost while delivering outstanding medical
  aid. The data from machine and medical equipment
  are used to track as well as optimize patient
  flow and treatment.
• Travel- We know that data analytics techniques
  help analyze customer behavior. Eventually, it
  helps in enhancing the buying experience. Travel
  companies can use these techniques to find out
  the preferences and choices of customers visiting
  their website, and based on it, they can suggest
  them with the right measure and personalized
  travel recommendations.

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• 3. Gaming- Yes, even the gaming industry can make
  use of data analytics to optimize customer
  experiences. They can work on the likes and
  dislikes of the customers, thereby enhancing the
  gaming experience.
• So, these were the differentiating factors
  between data analytics, big data, and data
  science. The difference also lies in the
  conceptual part, and when you study this
  curriculum. Well, a professional learning
  platform will help you in developing the right
  knowledge about these technologies.

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Conclusion

• Global Tech Council provides online data science
  training, big data training, and data analytics
  certification programs. This program aims to
  provide in-depth knowledge about these fields and
  also learn the application part of the same.
  These technologies are going to rule the world,
  and we are going to witness a rise in the demand
  for such professionals. With the right approach,
  you can become a part of one of the leading
  industries.
• If you wish to make a good career in data
  science, big data, or data analytics, this is the
  right time to start your journey.

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