CodeAlpha Data Analytics Internship

This repository contains my completed internship tasks for the CodeAlpha Data Analytics Internship:

📌 Tasks Completed

1. Web Scraping

   • Extracted structured datasets using Python (BeautifulSoup).
   • Example: Collected book data into Excel format.

2. Exploratory Data Analysis (EDA)

   • Analyzed the Titanic dataset to identify survival trends and anomalies.
   • Used Pandas, NumPy, and visualization libraries.

3. Data Visualization

   • Created impactful charts and dashboards using Matplotlib and Seaborn.
   • Highlighted insights from the Titanic dataset.

4. Sentiment Analysis

   • Applied NLP techniques to classify text data.
   • Extracted and analyzed sentiment from datasets.

🛠️ Tools & Libraries

• Python
• Pandas, NumPy
• BeautifulSoup
• Matplotlib, Seaborn
• NLP libraries (NLTK, Scikit‑learn)

🎯 Outcome

Successfully completed all four tasks required for internship certification.
This repository demonstrates skills in data collection, cleaning, analysis, visualization, and text mining.