Data Science and Data Gathering
9th Class Computer Science Chapter 6 Notes Punjab Board
Study easy English Medium notes for Data Science and Data Gathering according to the Punjab Board Class 9 Computer Science syllabus. These notes help students prepare MCQs, short questions, long questions and solved exercise for exams.
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Quick Answer
Class 9 Computer Science Chapter 6, Data Science and Data Gathering, covers structured and unstructured data, data organization using tables and charts, data visualization, data pre-processing (quality checks, outlier and bias identification), cloud storage backups, and foundational concepts of Data Science. On this page, students can read notes, download the PDF, and study MCQs and solved exercises.
Chapter Overview
Data Science and Data Gathering is the sixth chapter of Class 9 Computer Science. It introduces students to the growing field of Data Science and how raw data is collected, organized, and analyzed. It covers basic data concepts, data types, and the differences between Structured Data (like tables and databases) and Unstructured Data (like raw audio or text files).
The chapter explains how to organize and analyze data using tables and charts (data visualization). It details the crucial process of Data Pre-processing which involves evaluating data quality, cleaning data, and identifying errors, outliers, and biases to ensure that data is accurate and reliable for processing.
Additionally, it covers modern data storage practices like Cloud Storage and the importance of regular data backups for disaster recovery and security. This chapter prepares students for modern data-driven environments and analytical thinking.
Chapter 6 Notes Material
Use the following study material to prepare Chapter 6 completely.
Download Chapter 6 PDF
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