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.
- Python
- Advanced SQL
- Statistics & Advanced Statistics
- Machine Learning
- Exploratory Data Analysis (EDA)
- Feature Engineering
- Power BI
- Excel
- MongoDB
- AWS Analytics
- Data Visualization
- Python
- Pandas
- NumPy
- Matplotlib
- Seaborn
- Scikit-learn
- MySQL
- MongoDB
- Power BI
- Excel
- AWS
- Jupyter Notebook
π Python
π SQL
π Statistics
π Machine Learning
π Power BI
π Excel
π AWS
π MongoDB
π EDA
π Feature Engineering
π Notes
π Assignments
π Certificates
- Movie Recommendation System
- Customer Segmentation
- Sales Analytics Dashboard
- Sentiment Analysis
- Exploratory Data Analysis Projects
- Machine Learning Mini Projects
