Data Sufficiency (Akanda Paryapthada) For IAS Pre Hindi

by Jagranjosh

Data Sufficiency (Akanda Paryapthada) For IAS Pre Hindi

The eBook on data sufficiency is designed by expert faculty members and updated as per latest IAS syllabus. It will help to practice in a lot better way and allow you to do quick revision. It includes...View more

Specification

  • Language: Hindi
  • Number Of Pages: 43
  • Category: IAS Exams
  • Product Type: eBook
  • Size: 1.12 MB
Product Description

The eBook on data sufficiency is designed by expert faculty members and updated as per latest IAS syllabus. It will help to practice in a lot better way and allow you to do quick revision. It includes chapter-wise questions and test papers from data sufficiency, data redundancy, and data comparison. There are 12 test papers, 5 and 3 test papers of data sufficiency, data redundancy, and data comparison, respectively for you to practice. If you want to crack the upcoming IAS exam, this eBook is a must for you to study.

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  • Rs. 29

Promo Code SAVE25

Use promocode SAVE25 to get upto 25% discount on offer price Minimum Order value - Rs 50/-. Offer is valid for all Jagran Josh products.

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Data Sufficiency (Akanda Paryapthada) For IAS Pre Hindi
Data Sufficiency (Akanda Paryapthada) For IAS Pre Hindi

The eBook on data sufficiency is designed by expert faculty members and updated as per latest IAS syllabus. It will help to practice in a lot better way and allow you to do quick revision. It inclu

Promo Code SAVE25

Use promocode SAVE25 to get upto 25% discount on offer price Minimum Order value - Rs 50/-. Offer is valid for all Jagran Josh products.

Specification
  • Language: Hindi
  • Number Of Pages: 43
  • Category: IAS Exams
  • Product Type: eBook
  • Size: 1.12 MB
Product Description

The eBook on data sufficiency is designed by expert faculty members and updated as per latest IAS syllabus. It will help to practice in a lot better way and allow you to do quick revision. It includes chapter-wise questions and test papers from data sufficiency, data redundancy, and data comparison. ... Read More

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