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Data Analytics Training With R Programming with Real Life Case Studies – PowerPoint PPT presentation

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Title: Chandra123456 (1)


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Data Analytics Training
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What is Data Analytics?
  • Data analytics is the multi-variated process of
    analysis of data which is compiling and
    understandable on the basis of raw materials and
    content available on the global platform.
  • Data analytics helps in the development of
    various kinds of substantive growth in the field
    of science and studies.
  • The analytics are also useful for research
    purposes wherein the companies with SEO services
    which help in determining their outreach.
  • Our instructor helps in getting data analytics
    certification.

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Data Analytics Course Objectives
  • Find a meaningful pattern in data
  • Graphically interpret data
  • Implement the analytic algorithms
  • Handle large scale analytics projects from
    various domains
  • Develop intelligent decision support systems

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different types of data analytics?
  • Descriptive Analytics  This type of data
    analytics helps in determining what happened in
    terms of action to the company.
  • Diagnostic Analytics  This type of analytics
    helps in determining why things happened.
  • Predictive Analytics Helps in determining the
    future position of the company.
  • Prescriptive Analytics The analytical process
    helps in understanding the situation as to what
    needs to be done when in corrective step.

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Salary expectation after completing course
  • After the completion of course, one can pursue
    their career in two-three ways. If one pursues
    data analytics skills, he/she can expect a
    monthly salary of around Rs 50K to 70K per month.
    If one wants to become a data engineer, he or she
    can earn up to a sum of fifty thousand per month.

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What will you learn in this Data Analytics
training?
  • Various types of roles and duties of a Data
    Scientist.
  • Testing, assessing and management of projects.
  • Prediction/Forecast and analysis breakdown using
    clustering.
  • Sampling techniques and plotting practices.
  • Working with recommender software and systems
  • Installation and working with tools such as
    Apache Impala
  • Linear and logistic regression approaches.
  • Deploying clustering for analysis segmentation
    and forecast or prediction.

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Contact us
  • Bangalore Branch
  • 306, 10th Main, 46th Cross, 4th Block
    Rajajinagar, Bangalore - 560010
  • M 91 8095154888
  • info_at_apponix.com

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