About this course
About the Programme
Walchand Career Accelerator is an assessment-led placement readiness programme designed to help students build the confidence, speed, accuracy, and problem-solving skills needed for campus recruitment.
With 20 contact hours, the programme combines diagnostics, continuous practice, timed assessments, technical problem-solving, and performance analytics to give students a clear picture of their placement readiness.
Students will learn to:
- Assess their current placement readiness through structured diagnostics.
- Identify strengths and improvement areas through performance data.
- Improve speed, accuracy, and problem-solving under time constraints.
- Practise coding, SQL, debugging, aptitude, and placement-oriented problems.
- Track their progress from baseline to final assessment.
- Understand exactly what to improve before placements.
Practice That Measures Progress
The programme focuses on doing, testing, and improving rather than passive learning.
Students get hands-on exposure to:
25 Practice Quizzes · 7 Proctored Assessments · 30 Coding Problems · 22 SQL Exercises · 10 Debugging Exercises
- Each activity generates measurable performance data, helping students identify gaps and improve continuously.
- Built for Placement Assessments
- Students practise with assessment patterns inspired by major recruiters such as TCS NQT, Infosys, Wipro NLTH, Capgemini, Accenture, and Cognizant.
- The focus is not on one specific company test, but on developing transferable aptitude, technical, and assessment-taking skills.
- Technical Readiness
- The programme evaluates more than theoretical knowledge.
- Students code, solve, test, debug, and evaluate solutions through auto-evaluated coding challenges, SQL exercises, and debugging activities.
- Programming support includes C, C++, Java, and Python.
Personalised Performance Insights Students receive a placement readiness profile covering areas such as:
Overall Readiness · Accuracy · Time Efficiency · Percentile · Concept Mastery · Difficulty-wise Performance · Coding Performance · Improvement Trends
- The result is more than a score, it tells students where they stand, what is holding them back, and what they should work on next.
- Institutional Value
- For institutions, the programme provides data-driven insights into placement preparedness across branches, batches, sections, concepts, and readiness levels.
- This helps identify common skill gaps, at-risk students, and areas requiring targeted training.
Duration & Outcome
Duration: 20 Contact Hours
Students complete the programme with a clearer, evidence-based understanding of their placement readiness and a focused direction for further preparation.
Assess. Practise. Evaluate. Improve. Reassess.
Turn placement preparation into a measurable journey.
Course content
- V1.1.1 - Platform Walkthrough
- T1.1.2 - Company Aptitude Patterns
- A1.1.3 - Baseline Diagnostic
- T1.2.1 - Formula Reference Sheet
- Q1.2.2 - Number Systems
- Q1.2.3 - Percentages & Interest
- Q1.2.4 - Ratio, Averages & Mixtures
- Q1.2.5 - Time, Work, Speed & Distance
- Q1.2.6 - Permutation, Combination & Probability
- Q1.2.7 - Geometry & Mensuration
- A1.2.8 - Quantitative Sectional Test
- V1.3.1 - Reasoning Question-Type Map
- Q1.3.2 - Series, Coding & Analogy
- Q1.3.3 - Relations, Directions & Syllogisms
- Q1.3.4 - Seating Arrangements & Puzzles
- Q1.3.5 - Clocks, Calendars & Non-Verbal Reasoning
- A1.3.6 - Logical Reasoning Sectional Test
- T1.4.1 - DI Conventions & DS Grammar
- Q1.4.2 - Data Interpretation Sets
- Q1.4.3 - Data Sufficiency
- T1.5.1 - Error Patterns & Vocabulary List
- Q1.5.2 - Reading Comprehension
- Q1.5.3 - Para-Jumbles & Completion
- Q1.5.4 - Grammar & Error Spotting
- Q1.5.5 - Vocabulary
- A1.6.1 - Company Mock 1 (TCS NQT / Cognizant)
- A1.6.2 - Company Mock 2 (Infosys / Wipro NLTH / Capgemini)
- T2.1.1 - Language Track Selection
- V2.1.1 Compilers & Code Execution
- A2.1.2 - Technical Baseline Diagnostic
- V2.2.1 - Online Judge Mechanics
- V2.2.2 Programming Fundamentals [Part 1]
- V2.2.3 Programming Fundamentals [Part 2]
- Q2.2.2 - Predict the Output
- Q2.2.3 - Functions, Recursion & Memory
- Q2.2.4 - Arrays, Strings & Structures
- Q2.2.5 - Complexity Analysis
- V2.3.1 - Coding Ladder - Introduction
- C2.3.2 - Coding Ladder Tier 1 - Foundations
- C2.3.3 - Coding Ladder Tier 2 - Core Techniques
- C2.3.4 - Coding Ladder Tier 3 - Advanced
- T2.4.1 - Sample Schema & ER Diagram
- V2.4.1 SQL & Database [Part 2]
- E2.4.2 - SQL Basics
- V2.4.2 SQL Queries
- E2.4.3 - Joins & Subqueries
- E2.4.4 - Window Functions & CTEs
- Q2.4.5 - DBMS Theory
- V2.5.1 Computer Science Core
- Q2.5.1 - Operating Systems
- Q2.5.2 - Computer Networks
- Q2.5.3 - Object-Oriented Programming
- Q2.5.4 - Data Structures Theory
- V2.6.1 Debugging & Code Review
- E2.6.1 - Debugging Exercises
- A2.7.1 - Technical Hybrid Mock