Course

Quantitative Data Sufficiency

Grockit

Grockit's GMAT TV course, led by founder Farbood Nivi, provides a thorough overview of the GMAT curriculum through 16 hours of engaging instruction. Key features of the course include:

  • Detailed lessons on Quantitative Problem Solving and Data Sufficiency.
  • Verbal section training covering Reading Comprehension, Critical Reasoning, and Sentence Correction.
  • Expert guidance on MBA admissions from Stacy Blackman of Stacy Blackman Consulting.

Stacy Blackman leads 8 focused 30-minute sessions, advising MBA applicants on how to present themselves effectively to their desired schools, highlighting the dos and don'ts of the application process.

Course Lectures
  • This module focuses on Quantitative Data Sufficiency, a critical area of the GMAT. Students will learn to analyze data and understand the relationships between different variables. The content emphasizes:

    • Interpreting data in various formats.
    • Applying mathematical concepts to solve problems efficiently.
    • Developing skills to determine when sufficient information is present to answer a question.

    Engaging examples and practice questions will enhance comprehension and application, ensuring students feel confident in their ability to tackle Data Sufficiency questions on the GMAT.

  • This module continues to build on the principles of Quantitative Data Sufficiency, diving deeper into problem-solving techniques and analytical thinking. Key aspects of this lesson include:

    • Examining complex data sets and extracting relevant information.
    • Practicing time management strategies for the GMAT.
    • Utilizing logical reasoning to ascertain the adequacy of given data.

    Through interactive examples, students will enhance their critical thinking abilities needed for success in the quantitative section of the GMAT.

  • This module enhances your understanding of Quantitative Data Sufficiency by introducing advanced techniques and common pitfalls. It covers:

    • Identifying misleading information in data sets.
    • Utilizing process of elimination in answering questions.
    • Strategies for managing challenging questions under time constraints.

    With a focus on practice and application, students will engage with sample questions that mimic the GMAT format to build confidence and proficiency.

  • This module further develops students' abilities in Quantitative Data Sufficiency by emphasizing the importance of practice. The session highlights:

    • Real GMAT question simulations to build familiarity.
    • Feedback on common errors to improve understanding.
    • Discussion of effective study habits for continued improvement.

    Participants will engage in practice exercises that simulate the actual exam environment, fostering greater readiness for test day.

  • This module wraps up the series on Quantitative Data Sufficiency by consolidating learning and preparing students for the GMAT. Key highlights include:

    • Review of key concepts and strategies covered in previous modules.
    • Final practice exercises to test retention and application skills.
    • Tips for approaching the GMAT with a confident mindset.

    Students will leave with a comprehensive understanding of the techniques learned, ready to tackle the GMAT challenges ahead.