📊 Data Analysis Learning Journey

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

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🚀 Skills & Tools

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

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📚 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

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📂 Projects (Coming Soon 🚧)

I will be adding projects such as:

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

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🎯 Goals

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

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💡 Future Plans

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

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🤝 Connect with Me

Feel free to connect or collaborate!

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⭐ This repository documents my journey of becoming a Data Analyst.