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📊 Data Analysis Learning Journey

Hi! 👋 I’m currently learning Data Analysis and building my skills using powerful Python libraries.


🚀 Skills & Tools

  • 🐍 Python
  • 🔢 NumPy
  • 🐼 Pandas
  • 📈 Matplotlib
  • 🎨 Seaborn

📚 What I’ve Learned

🔹 NumPy

  • Array creation and operations
  • Vectorization & broadcasting
  • Boolean indexing
  • Mathematical and statistical functions

🔹 Pandas

  • Series and DataFrame
  • Data cleaning and preprocessing
  • Handling missing values
  • GroupBy operations
  • Data filtering and sorting

🔹 Matplotlib

  • Line plots
  • Bar charts
  • Histograms
  • Customizing plots

🔹 Seaborn

  • Statistical plots
  • Heatmaps
  • Distribution plots
  • Advanced visualizations

📂 Projects (Coming Soon 🚧)

I will be adding projects such as:

  • Exploratory Data Analysis (EDA)
  • Real-world datasets analysis
  • Data visualization dashboards

🎯 Goals

  • Improve data analysis skills
  • Work on real-world datasets
  • Build strong visualization skills
  • Prepare for data-related roles

💡 Future Plans

  • Learn SQL for data analysis
  • Explore Machine Learning
  • Work on end-to-end data projects

🤝 Connect with Me

Feel free to connect or collaborate!


This repository documents my journey of becoming a Data Analyst.