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Data Analysis & Interpretation

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Highlights

  • ISBN13:9789353161415
  • ISBN10:935316141X
  • Exam:UPSC
  • Publisher:McGraw Hill Education
  • Language:English
  • Author:Arun Sharma
  • Binding:Paperback
  • Publishing Year:2018
  • Pages:624
  • Edition Details:1
  • SUPC: SDL863303145

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Country of Origin or Manufacture or Assembly India
Common or Generic Name of the commodity Civil Services Exams
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Description

Data Analysis and Interpretation - Bilingual version is a comprehensive content with dedicated focus on syllabus prescribed by the Banking, SSC and other one-day exam Main specialities of this edition are bilingual approach expressing questions and difficult terms in both Hindi and English. It has structured arrangements of concepts where questions have been framed and developed on the basis of structured analysis and emerging trends. He is the best in class author, with loads of experience and expertise in the domain.

Key Features:
1. Diversity of questions based on the emerging trends clearly expressed in Hindi and English for both medium of students.
2. Stress on analysis, correlation and data interpretation.
3. A fresh approach and a revisit to the existing content on the emerging focus areas.
4. Fully solved and explained question papers while giving sufficient scope for practice and consolidation.

Author info

Data Analysis and Interpretation, bilingual version is an outcome of planning and intensive effort by a distinguished expert and academician, Arun Sharma. He is a brand in himself and carries name and reputation widely known. An experienced author and academician par excellence, he has over two decades of experience in guiding the aspirants in the Banking, SSC and MBA domain. He possesses great skill and a strong grasp of the subject. Deeper understanding of strategies and requirements competitive exam makes him stand apart from the rest.        

Table of Contents:

Part One Data Interpretation
Section 1 Basic Modes of Data Representation
Section 2 How to Think in Data Interpretation (DI)
Section 3 Practise Exercises
Part Two Data Sufficiency
Part Three Quantitative Aptitude
Part Four Mock Test Papers

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