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Explore NASSCOM NAC‑Tech Data Science Exam: Format, Syllabus & Preparation Guide with 7,931 views, 17 likes, and 1 comments. Experience the impact of this video content that has captured audience attention.

1. Exam Overview & Duration The NASSCOM Assessment of Competence – Technology (NAC‑Tech) exam for Data Science/Analytics/Engineering evaluates entry‑level talent on both generic aptitude and domain‑specific skills. For this stream, candidates face 106 multiple‑choice questions to be completed in 1 hour 57 minutes, delivered via a secure online platform. 2. Format & Sections Breakdown The test is split into two primary sections: Section A – Aptitude (≈40 Questions, 45 min): Verbal ability, logical reasoning, quantitative analysis, and attention to detail. Section B – Domain (≈66 Questions, 72 min): Core data‑science topics, each with multiple‑choice questions. No sectional time limits; you manage your overall pacing. 3. Core Domains & Question Distribution Questions in Section B are drawn from these key areas: Statistics & Probability: Descriptive stats, distributions, hypothesis testing. Programming & Algorithms: Python/R syntax, data structures, algorithm analysis. Databases & SQL: Query formulation, normalization, joins, indexing. Machine Learning: Supervised/unsupervised methods, model evaluation metrics. Big Data & Tools: Concepts around Hadoop, Spark, distributed processing. Data Visualization & Interpretation: Chart reading, dashboard critique, KPI selection. 4. Scoring, Cut‑offs & Result Reporting No negative marking; each correct answer earns one mark. Cut‑off scores vary by stream and by hiring cycle; typically set around 50–60%. Scorecards are available immediately after grading, showing overall and sectional performance, plus detailed competency feedback for career planning. 5. Preparation Strategies & Resources Official NAC‑Tech Sample Tests: Download from the NAC‑Tech portal to familiarize yourself with the interface and question style. Domain Refresher: Use online courses (Coursera, edX) or books like “Introduction to Statistical Learning” for foundational review. Practice Platforms: Leverage HackerRank/DataCamp for hands‑on coding challenges and SQL drills. Mock Exams: Time yourself on full-length MCQ sets to build stamina and pacing. Discussion Forums & Study Groups: Join peers on LinkedIn or Telegram to exchange tips and solve tricky problems collaboratively. By following this guide—understanding the format, focusing on core domains, and practicing under timed conditions—you’ll be well‑prepared to ace the NAC‑Tech Data Science exam and boost your employability in India’s IT and analytics industry.

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