Name: Exploratory Data Analysis (EDA) for Insight Discovery
Brand: Prolander Tech.
SKU: 691f8f28de52d72beb6a8bb8
Price: 1499 INR
Availability: InStock

Exploratory Data Analysis (EDA) for Insight Discovery

Instructor: Prolander Tech. India

Validity Period: Lifetime

₹1999 25% OFF

₹1499

Description
Course Content
How to Use

Learners discover how to explore and understand data through visual and statistical summaries. The course covers distributions, correlations, outliers, and pattern identification. Real-world business datasets make EDA practical and industry-relevant. Learners also practice turning EDA findings into clear observations. This course is foundational for analytics, visualization, and machine learning.

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	Module 1: Introduction to Exploratory Data Analysis
		What is EDA and why it matters
		Stages of the EDA process
		Recognizing data types and structures
		Summary statistics: mean, median, mode, variance
		Identifying basic patterns and initial observations
	Module 2: Understanding Distributions, Outliers & Variability
		Distribution shapes: normal, skewed, heavy-tailed
		Detecting and interpreting outliers
		Variability metrics and spread analysis
		Boxplots, histograms, and frequency charts
		Business interpretation of distribution characteristics
	Module 3: Correlations, Relationships & Pattern Discovery
		Understanding correlation (Pearson, Spearman)
		Identifying relationships between variables
		Heatmaps, scatter plots, pair plots
		Detecting clusters, trends, and hidden patterns
		Real-company dataset exploration (sales, HR, finance examples)
	Module 4: Turning EDA Into Insights for Decision Making
		Writing observations with clarity and impact
		Identifying key insights vs. noise
		Connecting patterns to business implications
		Preparing datasets for visualization and modeling
		Final hands-on exercise: Perform EDA on a dataset and create insights

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Exploratory Data Analysis (EDA) for Insight Discovery

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