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A collection of applied data analytics work using Python, focusing on EDA, data wrangling, and visual storytelling through charts and dashboards. Enhances practical skills in data cleaning, transformation, and generating actionable insights.

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DataAnalytics_Projects

A collection of real-world data analytics projects using Python. This repo showcases exploratory data analysis (EDA), business insights, web scraping, and practical data visualization.


📌 Projects Included

Project Description
Amazon sales analysis.py Python script analyzing Amazon sales trends, revenue, and category performance.
Sales_analysis.ipynb Jupyter Notebook with exploratory data analysis and visualization of sales data.
WEB SCRAPPING.ipynb A hands-on project to collect real-time data from the web using BeautifulSoup and Python.

🧠 Key Concepts Covered

  • Exploratory Data Analysis (EDA)
  • Business Analytics
  • Data Cleaning & Wrangling
  • Python Scripting
  • Web Scraping with BeautifulSoup
  • Data Visualization (Matplotlib, Seaborn)

🛠 Tools & Libraries

  • Python
  • Pandas
  • NumPy
  • Matplotlib / Seaborn
  • BeautifulSoup
  • Jupyter Notebook

🎯 Purpose

  • Practice and showcase real-world data analysis skills
  • Solve business use cases using Python
  • Create a portfolio of hands-on analytics projects
  • Improve storytelling through data visualization

📬 Let's Connect


⭐️ If this repo helped or inspired you, consider giving it a star and following for future updates!

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A collection of applied data analytics work using Python, focusing on EDA, data wrangling, and visual storytelling through charts and dashboards. Enhances practical skills in data cleaning, transformation, and generating actionable insights.

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