Lecture

Grockit GMAT TV Lesson 2, Part 2 (Quantitative Data Sufficiency)

This module continues the exploration of Quantitative Data Sufficiency, delving deeper into problem-solving techniques. Topics covered include:

  • Advanced techniques for Data Sufficiency questions.
  • Real-world applications of quantitative reasoning.
  • Timed practice sessions to simulate exam conditions.

Students will engage with challenging questions that require a nuanced understanding of mathematical principles.


Course Lectures
  • This module focuses on the fundamental concepts of Quantitative Data Sufficiency, providing students with the tools to analyze and interpret complex data sets effectively. The session will cover:

    • Understanding the structure of Data Sufficiency questions.
    • Strategies for approaching quantitative problems efficiently.
    • Common pitfalls to avoid when solving Data Sufficiency questions.

    Through engaging examples and practice questions, students will enhance their skills and confidence.

  • This module continues the exploration of Quantitative Data Sufficiency, delving deeper into problem-solving techniques. Topics covered include:

    • Advanced techniques for Data Sufficiency questions.
    • Real-world applications of quantitative reasoning.
    • Timed practice sessions to simulate exam conditions.

    Students will engage with challenging questions that require a nuanced understanding of mathematical principles.

  • This module focuses on refining problem-solving skills in Quantitative Data Sufficiency. Key points include:

    • Analyzing complex data scenarios effectively.
    • Developing critical thinking skills for quantitative analysis.
    • Utilizing practice questions to enhance understanding.

    Students will learn to break down problems systematically, improving both speed and accuracy.

  • This module further enhances students' skills in Quantitative Data Sufficiency through comprehensive exercises. Content includes:

    • Real-life applications of quantitative reasoning.
    • Group discussions to encourage collaborative learning.
    • Assessment of individual problem-solving techniques.

    Students will engage with peers to discuss strategies and share insights, fostering a deeper understanding.

  • This final module ties together all learned concepts in Quantitative Data Sufficiency, ensuring students are exam-ready. Highlights include:

    • Review of key strategies and techniques discussed throughout the course.
    • Full-length practice tests to assess readiness.
    • Feedback sessions to identify strengths and areas for improvement.

    Students will leave this module equipped with the confidence and skills needed to excel on the GMAT.