# Schedule

Week Lecture (Mon) Lecture (Wed) Lab (Thu) Advanced Section (Wed) Assignment (R:Released Tue - D:Due Wed)
1 Lecture 1: What is Data Science? Lab 1: Intro to Python (numpy, graphing libraries, program structure, Jupyter Notebook) R:HW0
2 Lecture 2: Data, Stats, and Visualization Lecture 3: Pandas and Scraping Lab 2: Python: sklearn, matplotlib R:HW1 - D:HW0
3 Lecture 4: Introduction to Regression and kNN Regression Lecture 5: Linear Regression, Bootstrap and Confidence Intervals Lab 3: Scikit-learn for Simple Linear Regression Advanced Section 1: Linear Algebra and Hypothesis Testing R:HW2 - D:HW1
4 Lecture 6: Multi and Poly Regression Lecture 7: Model selection and Cross Validation Lab 4: Multiple Linear Regression and Cross Validation Advanced Section 2: Regularization Methods and Their Justifications R:HW3 - D:HW2
5 Lecture 8: Regularization and EDA Lecture 9: Visualization for Communication Lab 5: Matplotlib & Seaborn No Advanced Section No Assignment
6 Lecture 10: kNN Classification & Logistic Regression I Lecture 11: Logistic Regression II Lab 6: Logistic Regression Advanced Section 3:Generalized Linear Models R:HW4 (individual) - D:HW3
7 No Lecture (Holiday) Lecture 12: Dealing with Missing Data, Imputation Lab 7: KNN Classification & Imputation No Advanced Section No Assignment
8 Lecture 13: EthiCS Lecture 14: PCA Lab 8: PCA Advanced Sections 4: PCA R:HW5 - D:HW4
9 Lecture 15: Classification Trees Lecture 16: Bagging, & Random Forest Lab 9: Trees and Random Forests No Advanced Section R:HW6 - D:HW5
10 Lecture 17: Boosting Methods Lecture 18: Neural Networks 1 – Perceptron and MLP Lab 10: Boosting No Advanced Section No Assignment
11 Lecture 19: NN 2: Anatomy of NN, design choices Lecture 20: NN 3. Back Propagation Lab 11: Intro to NN Advanced Sections 5: Decision Trees & Ensemble Methods R:HW7 (individual) - D:HW6
12 Lecture 21: Neural Networks 4. Regularization methods Lecture 22: Visualization for Model Interpretation Lab 12: Regularization with NN Advanced Sections 6: Solvers No Assignment
13 Lecture 23: Experimental Design & Testing I No Lecture (Thanksgiving) No Lab R:HW8 - D:HW7 [Due on Tuesday]
14 Lecture 24: Experimental Design & Testing II Lab 13: Web Dev for Final Projects D:HW8