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Advanced Data Science for Practicing Business Analysts

Advanced Data Science for Practicing Business Analysts

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₹ 118,000

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Program Highlights

  • Batch Starts January 27 - 31, 2020

  • Only Management Institute in India with triple accreditations by AACSB, AMBA and EQUIS.

  • Rank 23rd globally

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7 Day Exchange Policy

Duration: 5 Days

Mode of learning: Classroom

Program Overview

Who should Attend?
  • This programme is aimed at working professionals dealing with Data Science and analytics based model building.

What are the program deliverables ?
  • Understand and appreciate the underlying theoretical issues that govern applicability, success, and failure of statistical and machine learning models in decision making

  • Go deep into the widely used statistical and machine learning methods useful in solving data driven business decision problems in organizations

  • Interactive class room learning with lectures

  • Case based experiential learning with participants

More about this program
  • Necessity and success of use of analytics have led to the creation of analytics cell in most organizations dealing with data driven decision making. The subject being relatively new, there is acute shortage of formally qualified professionals for this field. Consequently, many of these working professionals have acquired their skills by on the job trial and error experience using software tools available in the organizations without any formal exposure to this complex subject. This restricts their understanding of the subject, often preventing them from utilizing the full potential of modern statistical and machine learning tools and techniques. A formal exposure to the theories and principles of the underlying methods they use would have significantly enhanced the quality of solutions they would otherwise deliver. Familiarity with emerging methods, tools and techniques beyond the limited options they are exploring would also add to their productivity. It will be an opportunity for such a group of professionals to familiarize themselves with state of the art theories and principles of analytics in action.

  • Participants should have prior exposure on the basics of statistical and machine learning principles. Participants must have inclinations toward mathematics, statistics and algorithmic problem solving. They must also have keen interest in understanding the conceptual intricacies of popular methods used in analytics.

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    It was good, I learned a year worth of skills in a matter of months trainer was supportive not available most of the time but helps remotely

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