Arun Sharma Quantitative Aptitude Pdf Google Drive =link= May 2026
Title: A Game-Changer for Quantitative Aptitude Preparation - Arun Sharma's PDF on Google Drive!
Rating: 5/5
I'm thrilled to share my experience with Arun Sharma's Quantitative Aptitude PDF, which I've accessed through Google Drive. As someone who's been preparing for competitive exams, I can confidently say that this resource has been a game-changer for me.
Pros:
- Comprehensive Coverage: The PDF covers a wide range of topics in Quantitative Aptitude, including arithmetic, algebra, geometry, and data interpretation. The content is well-structured and exhaustive, making it an ideal resource for thorough preparation.
- Clear and Concise Explanations: Arun Sharma's writing style is clear, concise, and easy to understand. He has a knack for breaking down complex concepts into manageable bits, making it simpler to grasp and retain the material.
- Practice Questions Galore: The PDF is filled with numerous practice questions, which is essential for mastering Quantitative Aptitude. The questions are well-graded, ranging from basic to advanced levels, allowing you to assess your progress and focus on areas that need improvement.
- Tricks and Shortcuts: Arun Sharma generously shares valuable shortcuts and tricks to solve problems quickly, which is a huge time-saver during exams. These tips have helped me to solve problems more efficiently and accurately.
- Easy Access: The Google Drive link provides easy access to the PDF, allowing me to study on-the-go. I can access the material from anywhere, at any time, which has been a huge convenience.
Cons: None significant enough to mention!
Recommendation: If you're preparing for competitive exams like CAT, MAT, XAT, or other government job exams that test Quantitative Aptitude, I highly recommend Arun Sharma's PDF. This resource will help you build a strong foundation, and with consistent practice, you'll see significant improvement in your scores.
Thanks to Arun Sharma and the uploader for making this valuable resource available on Google Drive! arun sharma quantitative aptitude pdf google drive
Please Note: This article is for informational and educational purposes only. It discusses the popularity of the book and legal alternatives. I do not provide direct links to copyrighted PDFs, as distributing them without the publisher's consent (McGraw Hill) violates copyright laws.
Option 2: Amazon Kindle Edition
Purchase the Kindle version. Amazon allows you to read it on any device via the Kindle app. You can then store the file locally and sync it to your cloud.
4. Key Topics from Arun Sharma’s Book (For Your Study Plan)
If you manage to get the book, here’s what it covers: Comprehensive Coverage : The PDF covers a wide
- Number System
- HCF & LCM
- Percentages, Profit/Loss
- Simple & Compound Interest
- Ratio, Proportion, Variation
- Averages, Mixtures, Alligations
- Time, Speed, Distance
- Time & Work
- Geometry, Mensuration
- Permutation & Combination
- Probability
- Data Interpretation (tables, charts, graphs)
The Smart Strategy: Don't Just Rely on One Book
Even if you get the Arun Sharma Quantitative Aptitude PDF on Google Drive, do not make it your only source. Here is a winning combination for competitive exams:
- For Concepts: Arun Sharma (LOD 1 & 2 only).
- For Speed: R.S. Aggarwal (for basic banking/ssc level).
- For Mock Data: Use free platforms like Cracku, iQuanta, or Testbook for current pattern mocks.
The Dark Side of Free Google Drive PDFs:
- Copyright Infringement: McGraw Hill (the publisher) actively files removal requests. Most Google Drive links are taken down within weeks.
- Corrupted Files: Many "free" PDFs are scanned copies from 2011—missing chapters on Data Interpretation (DI) and modern Logical Reasoning sets.
- Typos & Errors: Pirated versions often have missing pages or incorrect answers in the answer keys.
- Virus Risks: Some disguised "Google Drive" links redirect to malware sites or require you to download an .exe file.
Bottom Line: While a Google Drive link might seem tempting, you are often getting a broken, outdated, or virus-ridden file.