Mastering Exploratory Data Analysis (EDA) in Python: A Beginner's Guide 📊
Join Lecture 7 to learn the fundamentals of Exploratory Data Analysis (EDA) with practical Python techniques. Perfect for beginners interested in Data Analytics, AI, and ML — get hands-on experience and boost your data skills!
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145 views • Jun 28, 2025
About this video
Series: Data Analytics | Python | AI | ML
Mode: Hands-on | Conceptual | Beginner-Friendly
In this insightful session, Lecture 7 introduces participants to the foundational principles and techniques of Exploratory Data Analysis (EDA) — a critical step in any data-driven project. Through practical examples and Python-based implementation, learners will gain hands-on experience in exploring, summarizing, and visualizing datasets to uncover hidden patterns, trends, and relationships.
Whether you're working on AI models, ML algorithms, or statistical analysis, understanding your data through EDA is essential to build robust, meaningful solutions.
Mode: Hands-on | Conceptual | Beginner-Friendly
In this insightful session, Lecture 7 introduces participants to the foundational principles and techniques of Exploratory Data Analysis (EDA) — a critical step in any data-driven project. Through practical examples and Python-based implementation, learners will gain hands-on experience in exploring, summarizing, and visualizing datasets to uncover hidden patterns, trends, and relationships.
Whether you're working on AI models, ML algorithms, or statistical analysis, understanding your data through EDA is essential to build robust, meaningful solutions.
Video Information
Views
145
Likes
4
Duration
02:08:15
Published
Jun 28, 2025
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