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Data-Analytics-Learning-Portfolio.

The repository covers Python, SQL, Statistics, Machine Learning, Power BI, AWS, EDA, Feature Engineering, and real-world analytics workflows and practical projects.

This repository contains my complete Data Analytics learning journey, hands-on practice, assignments, notes, dashboards, and machine learning projects completed during my training in Data Analytics.

Skills Covered

  • Python
  • Advanced SQL
  • Statistics & Advanced Statistics
  • Machine Learning
  • Exploratory Data Analysis (EDA)
  • Feature Engineering
  • Power BI
  • Excel
  • MongoDB
  • AWS Analytics
  • Data Visualization

Tools & Technologies

  • Python
  • Pandas
  • NumPy
  • Matplotlib
  • Seaborn
  • Scikit-learn
  • MySQL
  • MongoDB
  • Power BI
  • Excel
  • AWS
  • Jupyter Notebook

Repository Structure

πŸ“‚ Python
πŸ“‚ SQL
πŸ“‚ Statistics
πŸ“‚ Machine Learning
πŸ“‚ Power BI
πŸ“‚ Excel
πŸ“‚ AWS
πŸ“‚ MongoDB
πŸ“‚ EDA
πŸ“‚ Feature Engineering
πŸ“‚ Notes
πŸ“‚ Assignments
πŸ“‚ Certificates

Projects Included

  • Movie Recommendation System
  • Customer Segmentation
  • Sales Analytics Dashboard
  • Sentiment Analysis
  • Exploratory Data Analysis Projects
  • Machine Learning Mini Projects

Certification

Data Analytics Course β€” PW Skills: 8f2377d3-0131-493e-af6d-e8a47d5b1836

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End-to-end Data Analytics portfolio featuring Python, SQL, Statistics, Machine Learning, Power BI, AWS, and practical projects.

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