Week 3a-Data Cleaning & Exploratory Data Analysis EDA

Unlock the full potential of your data in this hands-on tutorial on Data Cleaning and Exploratory Data Analysis (EDA) - two of the most crucial steps in the Data Science and Machine Learning pipeline. Whether you're a beginner in Python and pandas, a student working on a data science project, or a professional looking to strengthen your data preprocessing skills, this video walks you through real-world techniques for cleaning messy data, handling missing values, fixing data types, removing outliers, and exploring patterns using EDA tools like pandas, matplotlib, and seaborn.

We’ll demonstrate how to:
* Perform data wrangling and cleaning using Python
* Use pandas for data inspection and transformation
* Visualize key relationships with matplotlib and seaborn
* Interpret distributions, correlations, and trends for insightful analysis
* Prepare clean datasets for predictive modeling and machine learning workflows

Perfect for those following the CRISP-DM or OSEMN frameworks, this video emphasizes practical, reproducible techniques that make your data analysis meaningful and actionable.

Видео Week 3a-Data Cleaning & Exploratory Data Analysis EDA канала ThinkingNoble Vault