Aptitude for Placements

Instructor: Sudhanshu R (CAT 99.7 | QA 100 Percentiler | IIM Lucknow)
Organization: Education Litmus
Duration: 10 Lectures (1 hours each)
Mode: Self-paced + Practice Papers
Level: Undergraduate and Postgraduate Placement Preparation

Course Objective

The course aims to equip students with the quantitative, logical, and analytical aptitude skills required to excel in campus placement tests, case competitions, and analytical or consulting assessments. It focuses on conceptual understanding, application of logic, and test-taking efficiency.

Course Overview

This ten-part series provides structured training across all major domains of aptitude assessments conducted by top recruiters. The lectures combine theory, application-based practice, and previous placement-level questions from leading organizations such as Deloitte, EY, TCS, Accenture, ZS Associates, Infosys, and McKinsey.

Course Structure

Lecture 1 – Numbers and Arithmetic

• Number systems, divisibility, LCM and HCF

• Factors, remainders, cyclicity, and units digit

• Application-based practice questions

• Quick revision techniques

Lecture 2 – Ratio, Proportion, Averages and Percentages

• Concepts of mean, weighted averages, and mixtures

• Successive percentage changes and profit-based applications

• Ratio-based shortcuts for comparative analysis

• Practice exercises from past company assessments

Lecture 3 – Time, Speed, Distance and Work

• Relative speed and circular motion

• Work and efficiency-based problem solving

• Pipes and cisterns, upstream-downstream problems

• Real-world quantitative reasoning applications

Lecture 4 – Profit, Loss, Discount and Simple/Compound Interest

• Successive profit and loss problems

• True discount and banker’s discount

• Difference between Simple and Compound Interest

• Practice questions relevant to finance and banking roles

Lecture 5 – Algebra, Equations and Inequalities

• Linear and quadratic equations

• Logarithms and exponents

• Solving inequalities and modulus expressions

• Elimination and substitution-based solving strategies

Lecture 6 – Geometry and Mensuration

• Fundamental concepts of lines, triangles, circles, and polygons

• Area, perimeter, and volume calculations

• Coordinate geometry and distance formula applications

• Formula-based problem-solving for aptitude tests

Lecture 7 – Permutation, Combination and Probability

• Counting principles and factorial logic

• Arrangements, selections, and circular permutations

• Probability models, conditional probability, and expected value

• Practical problems involving cards, dice, and selections

Lecture 8 – Data Interpretation and Logical Reasoning

• Interpretation of charts, graphs, and tabular data

• Data sufficiency and logical reasoning problems

• Puzzles and seating arrangement questions

• Analytical caselets based on real placement formats

Lecture 9 – Data Sufficiency and Analytical Decision Making

• Types of data sufficiency problems

• Evaluating information adequacy

• Prioritization and constraint-based decision making

• Analytical reasoning applied to business scenarios

Lecture 10 – Puzzles, Critical Thinking and Lateral Logic

• Logical and analytical puzzles

• Pattern recognition and unconventional problem solving

• Guesstimates and estimation-based reasoning

• Case-oriented logical reasoning practice