Why Learn Big Data Analytics - PowerPoint PPT Presentation

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Why Learn Big Data Analytics

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Big Data Analytics is being seen as a great career option, and there are many who wish to know all about it. Find out what Big Data Analytics means, what it takes to acquire knowledge of it, how that knowledge can be applied, and more. – PowerPoint PPT presentation

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Title: Why Learn Big Data Analytics


1
Why Learn Big Data Analytics
2
Big Data Analytics is all about analyzing the
huge amount of data that floods a business
regularly. This data needs to be analyzed in
order to determine hidden patterns, various
insights and correlations. How businesses
utilize the data is more important than the
amount of data that accumulates. It is expected
that on a global level, the demand for data
scientists is going to exceed its supply by more
than 50, by 2018.
3
  • Big Data Analytics can be used by organizations
    for several reasons, like
  • Determining means of reducing business costs.
  • Finding out the needs of consumers to think up
    new products and services that can be provided.
  • Calculation of risks related to finance.
  • Finding out the reasons for problems, failures
    etc.
  • Finding out possibilities of fraudulent behavior.

4
  • The following types of data analytics fall under
    Big Data Analytics
  • Diagnostic Analytics
  • Predictive Analytics
  • Prescriptive Analytics
  • Descriptive Analytics

5
  • Big Data Analytics can be applied in
  • Insurance
  • Health Care
  • Retail
  • Communications Media
  • Banking Securities
  • Manufacturing

6
  • A sound knowledge of Big Data Analytics can open
    routes to various job titles like
  • Big Data Analyst
  • Big Data Scientist
  • Solutions Architect
  • Business Intelligence Analytics Consultant
  • Metrics Analytics Specialist
  • Data Integration Lead Architect
  • Big Data Analytics Business Consultant

7
  • To learn Big Data Analytics
  • You need to be strong in Mathematics.
  • To work in Big Data Analytics, it is good to have
    knowledge of
  • Python
  • SQL
  • Hadoop
  • Data Visualization Tools
  • Information Warehousing
  • Data Mining Methods.
  • Analyzing the Need of the Time and Acquiring
    Relevant Education can lead to Big Success.

8
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