Data Interpretation by Arun Sharma PDF Download: A Comprehensive Guide for CAT Aspirants
Data Interpretation is one of the most important sections of the Common Admission Test (CAT), which is conducted by the Indian Institutes of Management (IIMs) for admission to their prestigious MBA programs. Data Interpretation tests the ability of the candidates to analyze and interpret various types of data, such as tables, charts, graphs, and caselets.
Many CAT aspirants find this section challenging and time-consuming, as it requires a lot of practice and logical reasoning skills. However, with the right guidance and strategy, one can ace this section and score high marks in the CAT exam.
One of the best books for preparing for Data Interpretation is Data Interpretation by Arun Sharma, which is published by McGraw Hill Education. This book is written by Arun Sharma, who is a renowned author and trainer for CAT and other competitive exams. He has more than 20 years of experience in teaching and mentoring thousands of students across India.
Data Interpretation by Arun Sharma PDF Download is a comprehensive and updated guide that covers all the topics and types of questions that are asked in the CAT exam. It also provides tips and tricks to solve the questions quickly and accurately. The book is divided into three levels of difficulty: Basic, Intermediate, and Advanced. Each level has a number of solved examples and practice exercises to help the students master the concepts and techniques.
The book also contains previous year papers and mock tests to give the students a feel of the actual exam pattern and difficulty level. The solutions are explained in a detailed and step-by-step manner to clear all the doubts and queries of the students. The book also has a CD-ROM that contains more practice questions and video lectures by Arun Sharma.
Data Interpretation by Arun Sharma PDF Download is a must-have book for all the CAT aspirants who want to improve their Data Interpretation skills and score high marks in this section. It is also useful for other exams like XAT, SNAP, IIFT, MAT, CMAT, etc. The book is available online on various platforms like Amazon, Flipkart, etc. You can also download the PDF version of the book from the link given below.
Data Interpretation by Arun Sharma PDF Download
Why Data Interpretation is Important for CAT?
Data Interpretation is one of the four sections of the CAT exam, along with Verbal Ability and Reading Comprehension (VARC), Logical Reasoning and Data Sufficiency (LRDS), and Quantitative Ability (QA). The CAT exam is conducted in a computer-based mode and has a duration of three hours. Each section has a time limit of one hour and consists of 24 to 34 questions.
Data Interpretation carries a weightage of 16 to 20 percent in the overall CAT score. It is also one of the most scoring sections, as it does not require much theoretical knowledge or formulae. However, it also requires a lot of speed and accuracy, as the questions are often lengthy and complex. Data Interpretation tests the ability of the candidates to handle large amounts of data and make sense out of them.
Data Interpretation is not only important for CAT, but also for other aspects of life and career. In today’s world, data is everywhere and plays a crucial role in decision making and problem solving. Data Interpretation skills can help you to analyze and interpret data from various sources, such as reports, surveys, statistics, etc. and draw meaningful conclusions from them. Data Interpretation skills can also help you to communicate your findings effectively and persuasively to others.
How to Prepare for Data Interpretation?
Data Interpretation is not a subject that can be learned overnight. It requires consistent practice and revision to master the concepts and techniques. Here are some tips on how to prepare for Data Interpretation:
- Understand the basics: Before attempting any Data Interpretation question, you should have a clear understanding of the basics, such as percentages, ratios, averages, fractions, etc. You should also be familiar with the different types of data representation, such as tables, charts, graphs, caselets, etc. and their properties and features.
- Practice regularly: The best way to improve your Data Interpretation skills is to practice as much as possible. You should solve a variety of questions from different sources, such as books, online platforms, mock tests, etc. You should also analyze your performance and identify your strengths and weaknesses. You should focus on improving your weak areas and enhancing your strong areas.
- Develop speed and accuracy: Data Interpretation questions are often time-consuming and tricky. You should develop your speed and accuracy by applying shortcuts and tricks wherever possible. You should also avoid unnecessary calculations and use approximation and estimation techniques when needed. You should also avoid guesswork and eliminate wrong options using logic and common sense.
- Read the question carefully: One of the most common mistakes that candidates make in Data Interpretation is not reading the question carefully. You should read the question carefully and understand what is asked and what is given. You should also pay attention to the units, scales, labels, legends, etc. that are used in the data representation. You should also check if there are any hidden or missing data or assumptions that are required to solve the question.
- Manage your time wisely: Time management is very important for Data Interpretation, as you have only one hour to solve 24 to 34 questions. You should allocate your time wisely according to the difficulty level and marks distribution of the questions. You should also prioritize the questions that are easy and high-scoring and leave the ones that are difficult and low-scoring for later. You should also keep track of your time and avoid spending too much time on any single question.