Learning data science through isolated exercises leaves you unprepared for actual work, where the hard part is often the data rather than the algorithm. This course builds nine end to end projects, from business workflow automation through recommendation engines, credit risk prediction, and LLM powered apps running locally without paid APIs.

This Course Offers

• Python fundamentals plus NumPy and Pandas for data manipulation, cleaning, and DataFrame work
• Statistics and data visualization techniques for extracting insights and supporting model development
• Machine learning algorithms across regression, binary and multiclass classification, clustering, and dimensionality reduction with PCA and t-SNE
• Nine end to end projects including Pandas automation, a movie recommendation engine using Non negative Matrix Factorization, and credit risk prediction with XGBoost and Streamlit
• Local LLM development using Ollama, LangChain, and Streamlit, building an AI Code Assistant and a RAG based AI Research App without cloud services

Why We Love This Course

1. No prior programming or data science experience is required, so the course genuinely starts from scratch.
2. The projects span business automation, recommendations, risk modelling, and AI apps, which mirrors the range of real data roles.
3. Local LLM work means no cloud costs and no API keys, so you can experiment freely.
4. At twenty two hours across one hundred and seventy six lessons, it is thorough enough to build genuine capability rather than surface familiarity.

Data science hiring looks for a portfolio, and nine working projects demonstrate more than any certificate. Do you want to collect course completions, or applications you can actually show someone? Enrollment is open, and no prior experience is needed.

• This course is perfect for aspiring data scientists and developers building practical skills.
• It suits AI enthusiasts wanting hands on experience with real world projects.
• Beginners breaking into tech, professionals expanding into AI, and students learning Python, data science, and local LLM development will find the project based approach directly applicable.

• No prior programming or data science experience is required.
• A basic understanding of high school math is helpful, though all concepts are taught from scratch.
• A computer capable of running Python and local LLM tools like Ollama is needed for the AI app sections.

Interested in exploring more lessons? Check out our full course library to continue building your skills and advancing your learning journey.