Exploratory Data Analysis using Python
Master the Art of Data Exploration and Visualization with Python Libraries
267
students
2 hours
content
Feb 2025
last update
FREE
regular price
What you will learn
Data Cleaning and Preprocessing – Handling missing values, outliers, and data inconsistencies using Pandas and NumPy.
Data Visualization – Creating insightful visualizations using Matplotlib, Seaborn, and Plotly to understand data distributions and relationships.
Feature Engineering – Extracting meaningful features and transforming raw data for better analysis and model performance.
Statistical Analysis – Understanding descriptive statistics, correlation, and hypothesis testing to draw meaningful insights.
Hands-on EDA with Real-World Datasets – Applying EDA techniques to real-world datasets from domains like finance, healthcare, and environment
6456335
udemy ID
10/02/2025
course created date
08/05/2025
course indexed date
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