EDA & Descriptive Statistics in Python Pandas | Data Visualization | Part 13

📊 *Python Pandas Tutorial – Part 13 | EDA and Descriptive Statistics* Welcome to CS/IT Hub! 🚀 In this video, we will learn about **Exploratory Data Analysis (EDA) and Descriptive Statistics using Python Pandas**, with practical examples and data visualization. EDA helps us understand datasets, identify patterns, analyze distributions, and summarize important information before applying machine learning algorithms. 📌 *Topics Covered:* ✅ Introduction to Exploratory Data Analysis (EDA) ✅ Descriptive Statistics using Pandas ✅ Using `describe()`, `mean()`, `median()`, and `mode()` ✅ Understanding standard deviation and data distribution ✅ Data visualization using Histogram, Bar Chart, Box Plot, Scatter Plot, and Pie Chart ✅ Practical Python code with output 💻 *Who Should Watch?* B.Tech / B.E. Computer Engineering and IT students BCA and MCA students Python and Pandas beginners Students learning Data Analytics and Data Science 🎯 *Practice Task:* Create a Pandas DataFrame containing student marks and calculate the mean, median, minimum, maximum, and standard deviation. Then visualize the data using a suitable chart. 💬 *Comment below:* Which Pandas function gives a summary of descriptive statistics? 🔔 Subscribe to *CS/IT Hub* for more Python, Pandas, NumPy, Data Science, DBMS, and programming tutorials. 👍 Like, share, and comment if this tutorial helps you! #Python #Pandas #EDA