Mastering Exploratory Data Analysis (EDA) in Data Science || edvane

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Mastering Exploratory Data Analysis (EDA) in Data Science

By Manasa Shetty
12/Feb/2025
10 Students

Course Description

Course Overview

Mastering Exploratory Data Analysis (EDA) in Data Science is a hands-on course designed to help you uncover patterns, detect anomalies, and extract insights from data. EDA is a crucial step in any data science project, ensuring data quality, guiding feature selection, and setting the foundation for machine learning models. This course will take you through the entire EDA workflow—from data collection and preprocessing to visualization, statistical analysis, and feature engineering. You'll also learn how to automate EDA using Python libraries like Pandas, Matplotlib, Seaborn, Pandas Profiling, and Sweetviz.

Course Curriculum Chapter 1: Introduction to EDA

Understanding EDA and Its Importance
The EDA Workflow: Steps and Best Practices

Chapter 2: Data Collection and Preprocessing

Data Sources and Acquisition Methods
Handling Missing, Duplicate, and Incorrect Data

Chapter 3: Data Visualization Techniques

Univariate Analysis: Histograms, Boxplots, and KDE
Multivariate Analysis: Scatter Plots, Pair Plots, and Heatmaps

Chapter 4: Statistical Analysis for EDA

Descriptive Statistics: Mean, Median, Standard Deviation
Correlation and Covariance: Understanding Relationships

Chapter 5: Feature Engineering and Transformation

Creating New Features for Better Insights
Scaling and Normalization Techniques

Chapter 6: Generating EDA Reports and Case Studies

Automating EDA with Pandas Profiling and Sweetviz
Case Study: Real-World EDA on a Dataset

Why Take This Course?

✅ Practical & Hands-On: Learn by working with real-world datasets.
✅ Essential for Data Science: Master the foundation of data analysis and preprocessing.
✅ Industry-Standard Tools: Use Python libraries like Pandas, Seaborn, and Matplotlib.
✅ Automated EDA: Learn how to quickly generate reports with Pandas Profiling and Sweetviz.
✅ Career Growth: Enhance your portfolio and boost your data science career.

📌 Enroll now and start your journey to becoming a data expert! 🚀

Course Curriculum

Manasa Shetty

Data Science Intern

With a deep passion for Exploratory Data Analysis (EDA), I thrive on working with databases, optimizing queries, and extracting meaningful insights from complex datasets.