Quantitative Aptitude Practice Exam

Quantitative Aptitude is the ability of an individual in analyzing numeric data and solve maths problems. It includes good capability in arithmetic calculations, number series, data interpretation, algebra, geometry, and logical reasoning. The skill validate your problem-solving abilities, and logical thinking as needed across industries to process numbers and make data-driven decisions.

Certification in Quantitative Aptitude certifies your skills and knowledge in solving maths and logical problems. The certification assess you in arithmetic, algebra, number series, probability, data interpretation, and reasoning.

Why is Quantitative Aptitude certification important?

• The certification attests to your skills and knowledge in logic reasoning and maths.
  
• Improves your job prospects.
• Increases your employability in finance, banking, and engineering, companies.
• Boosts your career opportunities for senior roles.
• Validates your critical thinking and logical reasoning.
• Supports your career advancement in analytical roles.

Who should take the Quantitative Aptitude Exam?

• Data Analyst
• Financial Analyst
• Investment Banker
• Software Engineer
• Operations Research Analyst
• Actuary
• Accountant
• Market Research Analyst
• Business Analyst
• Statistician

Skills Evaluated

Candidates taking the certification exam on the Quantitative Aptitude is evaluated for the following skills:

• Arithmetic Skills
• Algebra
• Data Interpretation
• Number Series
• Geometry
• Probability
• Mensuration
• Logical Reasoning
• Time and Distance
• Trigonometry
  

Quantitative Aptitude Certification Course Outline
The course outline for Quantitative Aptitude certification is as below -

 

Domain 1 - Number System

• Types of numbers
• HCF and LCM
• Divisibility rules
• Number properties

 

Domain 2 - Arithmetic

• Percentages
• Profit and loss
• Time and work
• Time, speed, and distance
• Simple and compound interest

 

Domain 3 - Algebra

• Linear equations
• Quadratic equations
• Polynomials
• Functions and inequalities

 

Domain 4 - Geometry and Mensuration

• Properties of geometric shapes
• Areas and volumes
• Perimeter and surface area
• Circle, triangle, and rectangle geometry

 

Domain 5 - Data Interpretation

• Tabulation
• Bar charts and pie charts
• Line graphs and histograms
• Data analysis techniques

 

Domain 6 - Logical Reasoning

• Number series
• Coding-decoding
• Blood relations
• Logical puzzles

 

Domain 7 - Trigonometry

• Trigonometric ratios
• Heights and distances
• Applications in geometry and problems

 

Domain 8 - Probability and Statistics

• Basic probability concepts
• Mean, median, and mode
• Standard deviation and variance

 

Domain 9 - Mensuration

• Areas and volumes of 3D and 2D objects
• Surface areas of geometric solids