Demo: Pre-requisites & Basic Concepts

Duration: 7 min

This video lesson is available to enrolled students.

Return to /learn/RSSB-SENIOR-COMPUTER-INSTRUCTOR/paper-1-data-interpretation/data-interpretation/basic-concepts-terminologies/asset-demo-pre-requisites-basic-concepts after enrolling

Inside: a video lesson and guided study material.

Module outline

  1. About the Course: About the Course
  2. Paper-1 & 2 | Basic Numeracy: Ratio and Proportion (Ratios), Divisibility Rules, Mixture and Alligation, Permutation and Combination, Logarithm, Number System, HCF LCM, Sequence and Series (Series), Speed Time and Distance, Percentage, Average, Mensuration and Geometry, Age Problems, Arithmetic, Statistics, Probability, Profit and Loss, Simple Interest and Compound Interest, Partnership, Speed Mathematics and Basic Mathematics, Algebra, Powers and Exponents (Surds and Indices), Time and Work, Pipe and Cistern, RSSB Specific Videos - Basic Numeracy
  3. Paper-1 & 2 | Data Interpretation: Data Interpretation
  4. Paper-1 & 2 | General Mental Ability: Mental Ability, RSSB Specific Videos - Mental Ability
  5. Paper-1 & 2 | Logical Reasoning and Analytical Ability: Series (Number and Letter Series) (Numerical Relations and Reasoning), Coding Decoding, Data Sufficiency, Non Verbal Reasoning (Spatial Aptitude) (Spatial Reasoning) (Visual Reasoning), Syllogisms, Seating Arrangements, Blood Relations, Directions (Direction Test), Analytical Reasoning (Counting Figures Reasoning), Puzzle Solving (Puzzles), Calendar, Clock, Cubes & Dices, Venn Diagram, Analogy, Ranking, Order and Sequence, Deductive and Inductive Reasoning (Logical Deduction and Induction) (Prepositional Reasoning), Data Arrangement, Logical Sequence Of Words, Crypt Arithmetic
  6. Paper-1 & 2 | Decision Making and Problem Solving: Selection Decision Table (Decision Making)
  7. Paper-1 | General Science: Physics, Biology, Chemistry, RSSB Specific Videos
  8. Paper-1 | General Awareness: State Wise GK, GK- Current Affairs
  9. Paper-2 | Fundamentals of Computer: Basics of COA, Number System, Floating Point Rep, Number Representation
  10. Paper - 2 | Digital Logic Systems: Digital Systems & Boolean Basics, Logic Gates & Hardware, Boolean Expression, Boolean Minimization, Combinational Circuit, Sequential Circuits
  11. Paper-2 | Operating Systems: Introduction to OS, Process Management, CPU Scheduling, Process Synchronization, Deadlock, Threads & Process Creation, Memory Management, Virtual Memory, Disc Scheduling, File Management, Linux OS, Distributed Systems
  12. Paper-2 | Database Management System: Basics of DBMS, ER Diagram, Relational Model & Functional Dependencies, Keys & Integrity Constraints, Normalization (1NF - BCNF), Decomposition Properties & 4NF, Relational Algebra, SQL, Relational Calculus, File Organization & Indexing, Transaction Management, Concurrency Control
  13. Paper-2 | Data Structures: Introduction to DS, Array, Stack, Queue, Linked List, Tree, Graphs, Hashing
  14. Paper-2 | C Programming: C Fundamentals, Control Flow, Functions, Arrays & Pointers, Storage Classes, Structures & Enums, DMA, Macros, Scoping & File Handling
  15. Paper 2 | Oops, C++, Java: Language Design, OOPS with C++, Java, .Net Programming, Java Fundamentals
  16. Paper 2 | Python: Introduction to Python, Tokens, Variables, Data Types, I/O, Operators & Expressions, Control Flow & Looping, Collections & Strings, Functions & Modules, File Handling & Data Analysis
  17. Paper 2 | Emerging Trends and AI: Emerging Tech Trends, Artificial Intelligence
  18. Paper-2 | Algorithms: Algorithm Analysis, Time Complexity Analysis, Sorting Algorithms, Greedy Algorithms, Advanced Algorithms
  19. Paper 2 | Data Communication and Network Security: Introduction to CN, Data Communication, DLL: Access Control, DLL: Flow Control, DLL: Error Control, Data Link Layer - Ethernet, Net Layer: IPv4 & Proto, Net Layer: IP Addressing, Net Layer:Routing Protocol, Transport Layer Services, TL: Congestion & UDP, Application Layer, Hardware basics, Network Security, Ethical Hacking
  20. Paper-2 I Software Engineering: Fundamentals of Software Engineering, Software Requirements and Quality Assurance, Software Design, Estimation and Metrics, Software Testing, Software Maintenance and Configuration Management
  21. Paper-2 | Computer Organization and Architecture: Cache Memory Organization, Input Output Organisation, Instr Formats & Modes, Control Unit Design, Register Transfer and Microoperations
  22. Paper-2 | Web Development: JavaScript-Basics, HTML Basics, CSS, XML
  23. Pedagogy: Child Development, Concept of Pedagogy, Psychology, Theories, Inclusive Education, Experiential Pedagogy, Curriculum Framework & Reforms, National Education Policy (NEP) 2020
  24. Live Sessions: RSSB Live Sessions
  25. RSSB Paper 1 - Full Mock Tests:
  26. RSSB Paper 2 - Full Mock Tests:
  27. SCI Previous Year Papers:
AI summary & chapters

AI Summary

An AI-generated summary of this video lecture.

This educational video introduces the fundamental concepts of Data Interpretation, specifically tailored for competitive exam preparation. The lesson begins by establishing the relevance of the subject across various high-stakes examinations including CAT, XAT, GMAT, and banking exams. The instructor emphasizes that proficiency in this area requires specific foundational skills such as strong percentage calculation abilities, oral computation speed, and the strategic capability to eliminate incorrect options. The core instructional content transitions into defining basic graph categories, distinguishing between value-wise measurements like currency and volume-wise units such as weight or liters. A significant portion of the lecture is dedicated to deriving and applying the percentage change formula, illustrated through a concrete numerical example where marks decrease from 100 to 60.

Chapters

  1. 0:00 – 2:00 00:00-02:00

    The session opens with a title card for 'Data Interpretation' by Yash Jain Sir, immediately establishing the academic context. The instructor presents a slide titled 'Why Study This Topic?' which lists numerous competitive exams such as CAT, XAT, CMAT, SNAP, NMAT, MAT, IIFT, GMAT, GATE, and ESE. Visual cues include red checkmarks highlighting specific categories like Placements, Government Exams, and Banking Exams. The slide also notes 'Real Life Applications' and describes the topic as a 'Good way to check your calculation,' setting the stage for practical utility.

  2. 2:00 – 5:00 02:00-05:00

    The lecture moves to a 'Pre-Requisites' slide, where the instructor underlines essential skills required for success. Key prerequisites listed include being 'Good in Percentages,' having 'Good oral calculation' skills, and possessing the 'Ability to eliminate options.' The instructor adds red checkmarks next to these items as they are discussed. Following this, the content shifts to 'BASICS,' introducing a slide that states 'Graph can be divided majorly into 2 categories.' The instructor underlines these terms and begins to define the two primary classifications of graphs used in data interpretation.

  3. 5:00 – 6:45 05:00-06:45

    The instructor elaborates on the two graph categories, defining 'Value wise' graphs as those involving currency (Rupee, Dollar) and 'Volume wise' graphs as those involving physical quantities (Kg, grams, liters). The lesson then derives the formula for percentage change: % change = (final value - initial value) / initial value x 100. A specific numerical example is worked out on screen where marks decrease from 100 to 60. The calculation shows (60 - 100) / 100 x 100, resulting in a final answer of -40%, demonstrating how to calculate negative percentage change.

The video provides a structured introduction to Data Interpretation, prioritizing exam relevance before diving into technical skills. The teaching flow logically progresses from establishing why the topic matters to identifying necessary student capabilities, and finally defining core mathematical concepts. The distinction between value-wise and volume-wise graphs serves as a foundational classification system for interpreting data visualizations. The derivation of the percentage change formula is presented with clear step-by-step algebraic manipulation, reinforced by a concrete example involving a drop in marks. This approach ensures students understand both the theoretical framework and practical application of percentage calculations within a data interpretation context.

Loading lesson…