session8 | Univariate , Bivariate and Multivariate Analysis

In this video, we will learn the difference between Univariate, Bivariate, and Multivariate Analysis in Data Analytics.
These concepts are the foundation of Exploratory Data Analysis (EDA) and are widely used in statistics, machine learning, and business analytics.

🔍 What you will learn:

✔ What is Univariate Analysis?
✔ What is Bivariate Analysis?
✔ What is Multivariate Analysis?
✔ Real-life examples
✔ Where these analyses are used in data science
✔ Types of graphs used (Histogram, Scatter Plot, Box Plot, Heatmap, etc.)
✔ Simple explanations for beginners

💡 Why this video is important?

Understanding these analysis types helps you explore datasets, identify patterns, detect relationships, and prepare data for predictive modeling. This is one of the first steps in any data analytics or machine learning project.

📚 Topics Covered:

Meaning of univariate, bivariate, multivariate

Difference between them

Visualizations used

Practical examples

How these analyses help in decision-making

👩‍💻 Best for:

Data Analyst Aspirants

Data Science Beginners

Students preparing for interviews

Anyone learning EDA and statistics

🔔 Don’t forget to:

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💬 Comment your doubts
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#DataAnalytics #EDA #UnivariateAnalysis #BivariateAnalysis #MultivariateAnalysis #DataScienceForBeginners #AnalyticsBasics #Statistics101