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- Introduction to Computer Science and Programming in Python
- Introduction to Probability and Statistics
- Linear Algebra
- Convex Optimization for Big Data
- Free Must Read Books on Statistics & Mathematics for Data Science
- Ten Lectures and Forty-Two Open Problems in the Mathematics of Data Science
- Statistical and Computational Theory and Methodology for Big Data Analysis
- A Mathematical Introduction to Data Science
- Tutorial Statistical Analysis of Network Data
- Thematic Program on Statistical Inference, Learning, and Models for Big Data
- Data Science: Exploring the Mathematical Foundations
- Workshop on “Theoretical Foundations of Data Science (TFoDS)”
- Statistics of Big Data
- 2012-13 Program on Statistical and Computational Methodology for Massive Datasets
- Statistical inference for data science
- Big Data Analytics: Optimization and Randomization
- Convex Optimization for Big Data
- Stochastic Optimization for Big Data Analytics: Algorithms and Libraries
- Discovery with Data: Leveraging Statistics with Computer Science to Transform Science and Society
- Topological Data Analysis: Developing Abstract Foundations (17w5108)
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