Statistics for Beginners in Data Science (Part 3) | Learn from Scratch скачать в хорошем качестве

Statistics for Beginners in Data Science (Part 3) | Learn from Scratch

In this session of Statistics for Beginners in Data Science, we explore one of the most important concepts in descriptive statistics, Measures of Central Tendency. When working with large datasets (thousands or even 50,000+ rows), analyzing every single value is not practical. That’s where central tendency helps. It allows us to summarize the entire dataset using one representative value. Check this for the Full Guide of Statistics in Data Science: https://shorturl.at/Mqe6J In this video, you will learn: • What is Central Tendency in Statistics • Mean (Average): Formula and Example • Median: Middle value explained clearly • Mode: Most frequent value in a dataset • Mean vs Median vs Mode difference • When to use Mean, Median, or Mode • How outliers affect the mean • Why median works better for skewed data We also explain real-world examples like student exam scores and population data to help you clearly understand how these measures represent large datasets. This video is perfect for: ✔ Data Science beginners ✔ Machine Learning students ✔ Data Analyst aspirants ✔ Anyone learning statistics from scratch Understanding mean, median, and mode is essential before moving into advanced topics like variance, standard deviation, probability, and inferential statistics. In the next session, we will learn how to calculate Mean, Median, and Mode using Excel for real-world data analysis. #StatisticsForDataScience #LearnStatistics #DataScienceBeginners #StatisticsFromScratch #StatisticsBasi