Metis Short Immersive Courses are designed for students looking to upskill in specific data science and analytics topics—fast.
VIEW COURSESAcquire exploratory data analysis knowledge and how to use tools like SQL and Python libraries.
Learn the basics of linear regressions, feature engineering, and cross-validation, and how to web scrape.
Build skills to explore and extract meaningful data insights, so you can make sharper business decisions.
Learn the fundamentals of classification models from common algorithms to real world applications.
Build a foundational knowledge of NLP and unsupervised learning including dimensionality reduction, recommendation systems and clustering.
Learn the basics of neural networks and deep learning, including embeddings, transfer learning, and convolutional neural networks.
Get a strong handle on the fundamentals of data engineering as it applied to data science, including cloud computing and big data technologies.
Want to peek into one of our course lectures? This recorded lesson will give you a sense of how we teach and how you’ll participate during class.
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