About Course
Course Overview:
The Data Science Bootcamp (Python + SQL + ML) is an intensive, hands-on program designed to transform learners into industry-ready data professionals. This course covers the complete data science workflow—from data collection and cleaning to analysis, visualization, and predictive modeling. Students will learn to use Python for data manipulation and automation, SQL for querying and managing datasets, and Machine Learning techniques for extracting insights and building intelligent models. With real-world case studies and capstone projects, learners will gain practical experience in applying algorithms, interpreting data, and presenting results effectively. By the end of the course, participants will have a strong portfolio demonstrating their analytical, technical, and problem-solving abilities.
Key Highlights:
- Comprehensive training covering Python, SQL, and Machine Learning fundamentals.
- Hands-on practice with real-world datasets and data-driven problem-solving.
- Learn data preprocessing, visualization, and feature engineering techniques.
- Master supervised and unsupervised ML models including regression, classification, and clustering.
- Gain SQL expertise for database querying and data analysis.
- Includes industry-level capstone projects and interview preparation guidance.
Tools & Technologies Covered:
- Programming Languages: Python, SQL
- Libraries & Frameworks: Pandas, NumPy, Matplotlib, Seaborn, Scikit-learn
- Databases: MySQL, PostgreSQL
- Tools: Jupyter Notebook, Google Colab, Git, VS Code
- Machine Learning Concepts: Regression, Classification, Clustering, Model Evaluation
- Version Control: Git & GitHub