Data Preparation & Data Cleaning | 1st Year Computer Science | Lecture 5 скачать в хорошем качестве

Data Preparation & Data Cleaning | 1st Year Computer Science | Lecture 5

Lecture 5 – Chapter 5: Data Analytics (1st Year Computer Science 2025), Data Preparation & Data Cleaning | 1st Year Computer Science | Lecture In this video, we explain Data Preparation, Data Cleaning, Data Transformation, and Handling Missing Data in simple, easy English. This lecture is designed for ICS 1st Year (Punjab Boards – New Syllabus 2025) and is perfect for students preparing for exams. Topics covered in this lecture: ✔️ What is Data Preparation? ✔️ Steps of Data Preparation ✔️ Data Cleaning – Errors, duplicates, missing values ✔️ Examples of cleaned vs. unclean data ✔️ Data Transformation (formatting, reorganizing, deriving new values) ✔️ Handling Missing Data (Imputation, Flagging, Removal) ✔️ Real examples for better understanding This lecture is part of the series: ICS 1st Year Computer Science – Chapter 5: Data Analytics Suitable for: ICS 11th class students Punjab Board exam preparation New Syllabus 2025 Teachers preparing lectures Self-study learners Subscribe to the channel "CS with Sir Iqbal" for more lectures: Lectures on Python, Computer Science Theory, Practical Work, and Exam Preparation. Download Notes: https://drive.google.com/drive/folder... #DataPreparation #DataCleaning #DataAnalytics #ICS1stYear #ComputerScienceLecture #11thClassCS #PunjabBoard2025 #HandlingMissingData #CSwithSirIqbal