12-week data science track. Advanced ML, deep learning, feature stores, model serving, and end-to-end ML systems.
Student builds a data analysis pipeline which demonstrates data preprocessing and visualization skills using Python libraries like Pandas and Matplotlib.
Student builds a linear regression model which demonstrates understanding of supervised learning and PyTorch basics.
Student builds a data preprocessing pipeline which demonstrates ability to handle large datasets and leverage Spark's distributed computing capabilities.
Student builds a classification model which demonstrates understanding of binary classification and scikit-learn library.
Student builds a time series forecasting model which demonstrates ability to work with temporal data and understand ARIMA models.
+15 more projects available after enrollment
Build a real project in 4 weeks