Python for Data Science - Exploratory Data Analysis and Descriptive Data Analysis скачать в хорошем качестве

Python for Data Science - Exploratory Data Analysis and Descriptive Data Analysis

Title: Python for Data Science - Exploratory Data Analysis and Descriptive Statistics Description: Welcome to this comprehensive tutorial on Exploratory Data Analysis (EDA) and Descriptive Statistics using Python! Whether you're a beginner in data science or looking to strengthen your foundation, this video will guide you through the key concepts and practical techniques essential for understanding and summarizing data. In this video, you will learn: ✅ What is Exploratory Data Analysis (EDA)? ✅ Why EDA is crucial in data science projects ✅ Key statistical measures: Mean, Median, Mode, Standard Deviation, Variance, and Range ✅ How to handle missing values and detect outliers ✅ Data visualization techniques using Matplotlib and Seaborn ✅ Step-by-step coding examples using Pandas and NumPy Tools Used: Python 3 Jupyter Notebook Pandas NumPy Matplotlib Seaborn Chapters: 0:00 Introduction 1:30 What is EDA? 3:20 Loading Data with Pandas 6:00 Summary Statistics 10:45 Data Cleaning Basics 15:00 Visualizing Data Distributions 20:30 Boxplots and Outlier Detection 30:00 Recap & Next Steps Perfect for: Data Science Beginners Students learning Python for data analysis Anyone preparing for data science interviews Don’t forget to Like, Share, and Subscribe for more Python and Data Science content! 💬 Drop your questions or suggestions in the comments. #PythonForDataScience #ExploratoryDataAnalysis #DescriptiveStatistics #EDA #DataScienceWithPython