Data Interpretation Made Easy | Mastery Course 2022

Data Interpretation Made Easy | Mastery Course 2022

Data Interpretation Made Easy  course is designed with a self-learning approach , if you are self disciplined & motivated to learn, you will learn so many things in smartest & fastest possible way.

Data Interpretation is a topic which is mainly included as a part of Quantitative Aptitude section of different aptitude tests. In many MBA entrance exams , nearly 40% of the questions in Quantitative Aptitude section come from different type of data interpretation topics. Even in the government & banking recruitment exams like IBPS PO or SBI PO etc, Data Interpretation alone contributes to nearly 15 marks out of 35 marks allotted to quantitative aptitude section. It certainly forms a major role in both prelims and mains exams conducted by IBPS for different government recruitment especially banking.

The course is surely going to helpful for students preparing for

1. Campus Placement Aptitude Tests/ Campus Recruitment Tests.

2. MBA entrance exams like CMAT, SNAP, NMAT, MBA CET, MAT etc.

3. Government recruitment exams like UPSC - CSAT, IBPS, SBI PO , RBI officer Grade B etc.

   
   

   
   

The Course Language- English

Content-

Module 1. Passages - Case Studies

Module 2. Table

Module 3. Bar Graph

Module 4. Line Graph

Module 5. Pie Chart

Module 6. Venn Diagram

Module 7.  Spider Web / Radar Graph

Apart from above module video, updated content is added from time to time.

Course content PDF notes are made available in downloadable section.

Students doubts and queries related to the topic are welcome and they will be replied within few hours.

Learn all Data Interpretation concepts & tricks in easiest possible way

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What you will learn

• Better conceptual clarity & understanding in Data Interpretation
• Shortcut tricks & smarter approaches to solve questions faster.
• Updated content with modern topics and questions.

Rating: 4.5

Level: Intermediate Level

Duration: 8 hours

Instructor: Mandar Zarekar