Data Science Bootcamp with AI to Build Job-Ready Skills in Just 4 Months

Skillify Solutions’ Data Science Bootcamp with AI is a comprehensive, hands-on program that takes you from complete beginner to job-ready data scientist in 4 months. You'll master Python, SQL, machine learning, and AI through live classes, real projects, and personal mentorship, graduating with the practical skills and portfolio companies actually want.

Anyone interested in data science. Fresh graduates exploring career options, working professionals switching from non-tech roles, analysts wanting to add ML and AI skills, or anyone curious about turning data into insights. No prior coding or math background required, we start from absolute basics.

Not at all. While previous coding experience and math knowledge help, they're absolutely not required. Our bootcamp starts with Python basics and fundamental statistics, building your skills gradually. Many of our most successful graduates had never written code before joining Skillify.

You'll gain hands-on experience with Python (NumPy, Pandas, Matplotlib, Seaborn), SQL for data querying, Tableau and Power BI for visualization, machine learning frameworks (Scikit-learn, XGBoost), and generative AI tools (LangChain, LLMs). These are the exact tools data scientists use daily at leading companies worldwide.

The bootcamp runs for 110 hours over 4 months. Classes meet 3 times per week, with each session lasting 2 hours. We offer flexible evening and weekend batches specifically designed for working professionals. All sessions are recorded, so you can catch up if you miss a class.

You'll master Python for data analysis and machine learning, SQL for database querying and management, Tableau and Power BI for data visualization, and machine learning libraries including Scikit-learn, XGBoost, NumPy, Pandas, Matplotlib, and Seaborn. Plus fundamentals of generative AI and LangChain for modern AI workflows.

You'll build two major capstone projects: Car Price Prediction (building an AI model to predict vehicle prices using regression techniques) and Telecom Churn Prediction (creating a classification model to identify at-risk customers). These aren't toy problems; they're portfolio-worthy projects that demonstrate real business problem-solving skills to potential employers.