Data Science Winter School 2018
by CMI and IISA
Schedule
Tentative
If nothing is mentioned in the Lecture Type, that means it is local lecture. All US lectures will be conducted via Skype.| Date | Time (IST) | Time (EST) | Topic | Instructor | Lecture Type |
|---|---|---|---|---|---|
| Dec 3, 2018 | 9:00-9:55 | - | Introduction - Why Data Science? | Sourish | |
| 10:00-10:55 | - | Fundamentals of Statistics | Sourish | ||
| 10:55-11:15 | - | Tea/coffee break | |||
| 11:15-12:15 | - | Lab Session with R | Sourish | ||
| 12:15-13:30 | - | Lunch | |||
| 13:30-14:25 | - | Statistical Modeling and Regression |
Sourish | ||
| 14:30-15:25 | - | Hypothesis Testing | Sourish | ||
| 15:25-15:45 | - | Tea/coffee break | |||
| 15:45-16:45 | - | Lab Session with R | Sourish | ||
| 16:45-17:00 | - | Quiz | |||
| 17:00-18:00 | - | Break | |||
| 19:30 - 20:30 | 09:00 - 10:00 | Introduction to Data Science | David Banks | US Lecture | |
| 20:30 - 21:30 | Dinner | ||||
| Dec 4, 2018 | 9:00-9:55 | Tell a Story with Data | Sukumar | ||
| 10:00-10:55 | Data Structure, Algorithms, RDBMS | Madhavan | |||
| 10:55-11:15 | - | Tea/coffee break | |||
| 11:15-12:15 | Data Structure, Algorithms, RDBMS | Madhavan | |||
| 12:15-13:30 | Lunch | ||||
| 13:30-14:25 | Data Science Project Cycles - Bridging ML and Stat | Sourish | |||
| 14:30-15:25 | Statistical Machine Learning - Variable Selection | Sourish | |||
| 15:25-15:45 | - | Tea/coffee break | |||
| 15:45-16:45 | Lab: Hands-on with R + Project Discussion | Sourish | |||
| 16:45-17:00 | Quiz | ||||
| 17:00-18:00 | - | Break | |||
| 19:30 - 20:30 | 09:00 - 10:00 | Introduction to Data Science | David Banks | US Lectures | |
| 20:30-21:30 | Dinner | ||||
| Dec 5, 2018 | 9:00-9:55 | Statistical Machine Learning - Ridge Regression | Sourish | ||
| 10:00-10:55 | Statistical Machine Learning - LASSO Regression and Elastic Net | Sourish | |||
| 10:55-11:15 | - | Tea/coffee break | |||
| 11:15-12:15 | Intro to Python | Rajiv | |||
| 12:15-13:30 | Lunch | ||||
| 13:30-14:25 | Statistical Machine Learning - Non-Linear Regression | Rajiv+Sourish | |||
| 14:30-15:25 | Gaussian Process Regression on Big Data | Rajiv | |||
| 15:25-15:45 | Tea/coffee break | ||||
| 15:45-16:45 | Big Data and its Issues | Rajiv | |||
| 16:45-17:00 | Quiz | Rajiv | |||
| 17:30-18:30 | Data Science of Opinion Poll | Rajeeva Karandikar | |||
| 19:30 - 20:30 | 09:00 - 10:00 | Introduction to Data Science | David Banks | US Lectures | |
| 20:30-21:30 | Dinner | ||||
| Dec 6, 2018 | 9:00-9:55 | Distributions | Arvind Rao | ||
| 10:00-10:55 | Hypothesis Testing | Arvind Rao | |||
| 10:55-11:15 | - | Tea/coffee break | |||
| 11:15-12:15 | Intro R and Lab: Hands-on with R | Arvind Rao | |||
| 12:15-13:30 | Lunch | ||||
| 13:30-14:25 | Intro R and Exploratory Data Analysis; Lab: Hands-on with R | Arvind Rao | |||
| 14:30-15:25 | Lab: Hypothesis testing in R | Arvind Rao | |||
| 15:25-15:45 | Tea/coffee break | ||||
| 15:45-16:45 | PCA/MDS/dimensionality reduction | Arvind Rao | |||
| 16:45-17:00 | Quiz | ||||
| 16:45 - 18:00 | Break | ||||
| 19:30 - 20:30 | 09:00 - 10:00 | Introduction to Data Science | David Banks | US Lectures | |
| 20:30 - 21:30 | Dinner | ||||
| Dec 7, 2018 | 9:00-9:55 | Doubt Clearing Session | Arvind Rao | ||
| 10:00-10:55 | PCA/MDS and Lab: PCA/MDS | Arvind Rao | |||
| 10:55-11:15 | - | Tea/coffee break | |||
| 11:15-12:15 | Programming questions, interpreting PCA/MDS output; guided HW | Arvind Rao | |||
| 12:15-13:30 | Lunch | ||||
| 13:30-14:25 | Clustering, hierarchical clustering; k-means | Arvind Rao | |||
| 14:30-15:25 | Lab: using R for clustering | Arvind Rao | |||
| 15:25-15:45 | Tea/coffee break | ||||
| 15:45-16:45 | Clustering Lab & Question Answer session | Arvind Rao | |||
| 16:45-17:00 | Quiz | ||||
| 17:00 - 18:00 | Break | ||||
| 18:30 - 19:30 | |||||
| 19:30 - 20:30 | 09:00 - 10:00 | Exploratory Data Analysis | David Banks | US Lectures | |
| 20:30 - 21:30 | Dinner | ||||
| Dec 8, 2018 | 9:00-9:55 | Doubt Clearing session | Arvind Rao | ||
| 10:00-10:55 | Classification (LDA/QDA/CART), cross-validation (k-fold CV, LOOCV) | Arvind Rao | |||
| 10:55-11:15 | - | Tea/coffee break | |||
| 11:15-12:15 | Classification in R | Arvind Rao | |||
| 12:15-13:30 | Lunch | ||||
| 13:30-14:25 | Automobile Analytics | Shibasish | |||
| 14:30-15:25 | Automobile Analytics | Shibasish | |||
| 15:25-15:45 | Tea/coffee break | ||||
| 15:45-16:45 | Automobile Analytics | Shibasish | |||
| 16:45-17:00 | Quiz | ||||
| 17:00-17:30 | Break | ||||
| 17:30-18:30 | 7:00-8:00 | ML on Big Data Architecture | Udayan | US Lectures | |
| 19:00 - 21:00 | 8:30-10:30 | Anomaly Detection | V Chandola | US Lectures | |
| Dec 10, 2018 | 9:30-10:30 | Classification: SVM (with nested CV) and Random Forest; case study | Arvind Rao | ||
| 10:30-11:30 | Lab: Classification using R, guided HW | Arvind Rao | |||
| 10:55-11:15 | Tea/coffee break | ||||
| 11:15-12:15 | Tying it all together (PCA, MDS, Clustering and Classification) | Arvind Rao | |||
| 12:15-13:30 | Lunch | ||||
| 13:30-14:25 | Data Science in Finance | Anirban + Kiran | |||
| 14:30-15:25 | Data Science in Finance | Anirban + Kiran | |||
| 15:25-15:45 | Tea/coffee break | ||||
| 15:45-16:45 | Data Science in Finance | Anirban + Kiran | |||
| 16:45-17:00 | Quiz | ||||
| Dec 11, 2018 | 9:30-10:30 | Deep Learning Neural Network | Rajiv | ||
| 10:30-11:30 | Time Series Data and Recurring Neural Network, LSTM | Rajiv | |||
| 10:55-11:15 | - | Tea/coffee break | |||
| 11:15-12:15 | Hands-on with Neural Network | Rajiv | |||
| 12:15-13:30 | Lunch | ||||
| 13:30-14:25 | Data Science in Sociology | Anirban + Kiran Sharma | |||
| 14:30-15:25 | Data Science in Sociology | Anirban + Kiran Sharma | |||
| 15:25-15:45 | Tea/coffee break | ||||
| 15:45-16:45 | Data Science in Sociology | Anirban + Kiran Sharma | |||
| 16:45-17:00 | Discussion | ||||
| Dec 12, 2018 | Project Day | Anirban, Sourish, Kiran | |||
| Dec 13, 2018 | Project Presentation | Anirban, Sourish, Kiran | |||
| Mixer |