Data Science vs. Big Data vs. Data Analytics - PowerPoint PPT Presentation

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Data Science vs. Big Data vs. Data Analytics

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Big data analysis performs mining of useful information from large volumes of datasets. Contrary to analysis, data science makes use of machine learning algorithms and statistical methods to train the computer to learn without much programming to make predictions from big data. – PowerPoint PPT presentation

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Title: 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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