IGNOU Data Science & Big Data
Author | : Manish Soni |
Publisher | : |
Total Pages | : 32 |
Release | : 2024-11-10 |
ISBN-10 | : |
ISBN-13 | : |
Rating | : 4/5 ( Downloads) |
Book excerpt: This book, "IGNOU Data Science and Big Data: Previous Years Unsolved Papers," has been meticulously compiled to serve as a vital resource for students pursuing this course. The collection of previous years' unsolved papers included in this book is intended to provide students with a clear understanding of the exam format, the variety of questions posed, and the key topics that have been emphasized in past assessments. These papers are an invaluable tool for students to practice and hone their problem-solving skills, gain familiarity with the types of challenges they may encounter in exams, and identify areas where further study may be needed. By working through these unsolved papers, students are not merely preparing for their exams; they are also deepening their understanding of the core principles and advanced techniques of Data Science and Big Data. Each question in these papers has been designed to test not just knowledge, but the ability to apply concepts to real-world problems, analyse data critically, and derive meaningful conclusions—skills that are essential for any aspiring data scientist or big data professional.