San Francisco Crime Data Analysis | Dataset Introduction | Python & Data Science

In this video, we introduce the San Francisco Crime Dataset and understand the basic structure of crime-related data before performing Data Analysis and Visualization using Python. The commonly used Kaggle San Francisco Crime Classification dataset contains incidents derived from the San Francisco Police Department (SFPD) Crime Incident Reporting system, covering data from January 1, 2003 to May 13, 2015. 📌 In This Video, You’ll Learn: ✅ Introduction to the San Francisco Crime Dataset ✅ Understanding crime incident data ✅ What is a crime category? ✅ Understanding Dates and DayOfWeek ✅ Understanding PdDistrict ✅ Understanding Resolution ✅ Understanding Address ✅ Understanding geographical coordinates — X and Y ✅ Identifying important features in the dataset ✅ How crime data can be used for Data Analysis ✅ Introduction to Exploratory Data Analysis (EDA) ✅ Preparing the dataset for visualization and further analysis 🎯 Perfect for: Python Beginners | Data Analysts | Data Science Students | EDA Learners | Machine Learning Beginners | AI & Data Science Enthusiasts [San Francisco crime, San Francisco crime dataset, San Francisco crime data analysis, San Francisco crime classification, crime data analysis Python, crime dataset Python, SFPD crime dataset, San Francisco crime dataset explained] 👉 Follow Utkarsh Minds for practical tutorials on Python, Data Analysis, Data Science, Machine Learning and AI. #SanFranciscoCrime #CrimeDataAnalysis #DataAnalysis #Python #DataScience #EDA #CrimeDataset #PythonForBeginners #MachineLearning #AI