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Go from analyst to data scientist: advanced SQL, experimentation, machine learning engineering, and Generative AI over your own business data.
8 modules · 47 lessons
Advanced data wrangling and engineering, advanced SQL and analytical databases, statistical inference and experimentation, machine learning engineering, model evaluation and interpretation, specialized modelling in time series and unsupervised learning, Generative AI for data science, and a capstone end to end data science product.
Level up from analyst to data scientist. This intermediate program from Ucanly takes practitioners with working knowledge of Python, Pandas, SQL, and basic statistics into professional data science: advanced Pandas and reproducible pipelines, analytical SQL with window functions and CTEs, rigorous A/B testing and causal inference, and machine learning engineering with XGBoost, LightGBM, and SHAP based interpretability. On the Generative AI side, you will build embeddings and vector search over business data, Retrieval Augmented Generation on your own reports, text to SQL natural language analytics, and AI agents that query and explain data automatically. You will graduate having shipped an end to end data science product with an engineered pipeline, a tuned model, a live API, and an AI powered insight layer.
Complete this course to earn a verified Ucanly certificate you can add to your profile, share on LinkedIn, and showcase to employers as proof of the skills you've built.
It is recommended, but working knowledge of Python, Pandas, SQL, and basic statistics is sufficient to start.
Yes, you will design and analyze a complete A/B test, covering sample size, power, confidence intervals, and causal inference fundamentals.
You will build embeddings and vector search over business data, RAG systems on your own reports, text to SQL natural language analytics, and AI agents that analyze and explain data.
An end to end data science product with an engineered pipeline, a tuned model, a live API, and an AI powered insight layer, mentored by Ucanly.