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Data Analytics with AI – Proffesional IIT-T Certificate Program

Categories: Career
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What Will You Learn?

  • In today’s competitive job market, success isn’t just about having knowledge — it’s about applying it with confidence, clarity, and purpose.
  • The Career Acceleration Program (CAP) by Educhithra empowers students to build the exact blend of technical, analytical, and communication skills employers look for.

Course Content

Module 1: Programming Fundamentals & Communication Kickstart
In Week 1 of the CAP Program, students build a solid base in programming through live coding on variables, data types, and conditional statements. They practice logic-building with simple problems to strengthen problem-solving skills. Aptitude sessions focus on number systems and HCF/LCM for analytical thinking. The week wraps up with self-introduction and presentation exercises to boost communication confidence.

  • Understand coding structure, Apply decision making, Basic problem-solving
  • NQT Math Foundation
  • Improved verbal confidence

Module 2: Arrays, Loops & Strings AI
In Week 2, learners deepen their programming foundation by exploring loops, arrays, and string operations. They build logic flow control, perform data traversal, and handle text manipulation through live exercises. Aptitude sessions strengthen numerical reasoning with percentages and ratios. The week closes with email writing and grammar drills to refine written communication.

Module 3: Functions, Recursion & Problem Solving
This week focuses on modular programming and the power of recursion to solve problems efficiently. Students practice debugging and dry-run analysis to develop analytical precision. Aptitude sessions emphasize profit, loss, and interest calculations, while communication activities build vocabulary and fluency.

Module 4: OOP Basics & Weekly Review
Learners are introduced to object-oriented programming—understanding classes, objects, constructors, and encapsulation. Mock coding challenges test their technical readiness and time management. Aptitude revisions boost accuracy, while communication sessions focus on confident speaking.

Module 5: Linked Lists & OOP Deep Dive
Week 5 transitions into data structures, starting with linked lists and advanced OOP. Students implement insertion, deletion, and circular lists through live projects. Aptitude sessions cover time, speed, and distance, while group discussions enhance collaboration.

Module 6: Stacks, Queues & Searching
Students explore non-linear structures like trees and BSTs and learn traversal algorithms. They gain practical exposure to SQL concepts such as tables, keys, and relationships. Logical reasoning and presentation training build clarity in expression.

Module 8: Hashing & Operating Systems
This week strengthens students’ CS foundation with hashing techniques and OS concepts. They learn how to optimize data access using Hash Maps and understand process scheduling. Communication training focuses on interview etiquette and voice control.

Module 9: Graphs & Advanced Communication
Students dive into graphs, exploring adjacency lists, BFS, and DFS traversals with real-world applications. Aptitude revision and mock tests sharpen speed and accuracy. STAR-method communication sessions prepare them for behavioral interviews.

Module 10: Dynamic Programming & System Design
This module develops optimization thinking through dynamic programming, memoization, and tabulation. Learners are introduced to basic system design for scalable applications. HR and puzzle practice sessions improve interview readiness.

Module 11: Resume Building & Mock Interviews
Week 11 focuses on polishing resumes and portfolios aligned with industry standards. Students attempt full technical and aptitude mocks for real interview exposure. English fluency sessions boost professional confidence.

Module 12: Final Blitz & Interview Marathon
The final week brings everything together with puzzles, output-based coding, and complexity analysis. Students undergo final HR + technical mock interviews and receive detailed feedback. This phase ensures complete readiness for placements.

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