Northwestern University

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101-7 College Seminar

20: College Seminar - Sandy L Zabell - Mon, Wed, Fri 2:00PM - 2:50PM

201-0 Introduction to Programming for Data Science

20: Introduction to Programming for Data Science - Emre Besler - Mon, Wed, Fri 3:00PM - 3:50PM

202-0 Introduction to Statistics and Data Science

20: Introduction to Statistics and Data Science - Danielle Kaye Sass - Mon, Wed, Fri 9:00AM - 9:50AM
21: Introduction to Statistics and Data Science - Arend Matthew Kuyper - Mon, Wed, Fri 1:00PM - 1:50PM

202-SG Peer-Guided Study Group: Introduction to Statistics and Data Science

01: Peer-Guided Study Group: Introduction to Statistics and Data Science - Borislava Miltcheva - Su 3:00PM - 5:00PM
02: Peer-Guided Study Group: Introduction to Statistics and Data Science - Borislava Miltcheva - Mon 4:00PM - 6:00PM
03: Peer-Guided Study Group: Introduction to Statistics and Data Science - Borislava Miltcheva - Wed 5:00PM - 7:00PM

210-0 Introduction to Probability and Statistics

20: Introduction to Probability and Statistics - Maxim Igorevich Sinitsyn - Mon, Wed, Fri 2:00PM - 2:50PM

210-SG Peer-Guided Study Group: Introduction to Probability and Statistics

01: Peer-Guided Study Group: Introduction to Probability and Statistics - Borislava Miltcheva - Su 4:00PM - 6:00PM
02: Peer-Guided Study Group: Introduction to Probability and Statistics - Borislava Miltcheva - Wed 6:00PM - 8:00PM
03: Peer-Guided Study Group: Introduction to Probability and Statistics - Borislava Miltcheva - Su 2:00PM - 4:00PM

228-0 Series and Multiple Integrals

20: Series and Multiple Integrals - Araminta Amabel Wilson - Mon, Wed, Fri 11:00AM - 11:50AM

301-1 Data Science 1 with R

20: Data Science 1 with R - Danielle Kaye Sass - Mon, Wed 12:30PM - 1:50PM
21: Data Science 1 with R - Arend Matthew Kuyper - Mon, Wed 5:30PM - 6:50PM

302-0 Data Visualization

20: Data Visualization - Matey Neykov - Mon, Wed 3:30PM - 4:50PM

303-1 Data Science 1 with Python

20: Data Science 1 with Python - Emre Besler - Mon, Wed 12:30PM - 1:50PM - Fri 7:00PM - 9:00PM
21: Data Science 1 with Python - Arvind Krishna - Mon, Wed 5:30PM - 6:50PM - Fri 7:00PM - 9:00PM
22: Data Science 1 with Python - Lizhen Shi - Tues, Thurs 5:00PM - 6:20PM - Fri 7:00PM - 9:00PM

320-1 Statistical Theory & Methods 1

20: Statistical Theory & Methods 1 - Margaret Elizabeth Andrews - Mon, Wed, Fri 12:00PM - 12:50PM
21: Statistical Theory & Methods 1 - Margaret Elizabeth Andrews - Mon, Wed, Fri 2:00PM - 2:50PM

330-1 Applied Statistics for Research 1

1: Applied Statistics for Research 1 - Martin A Tanner - Thurs 2:00PM - 4:50PM

344-0 Statistical Computing

20: Statistical Computing - Jiping Wang - Tues, Thurs 12:30PM - 1:50PM

348-0 Applied Multivariate Analysis

20: Applied Multivariate Analysis - Thomas A Severini - Tues, Thurs 9:30AM - 10:50AM

350-0 Regression Analysis

20: Regression Analysis - Arvind Krishna - Mon, Wed 2:00PM - 3:20PM
21: Regression Analysis - Feng Ruan - Tues, Thurs 11:00AM - 12:20PM

357-0 Introduction to Bayesian Statistics

20: Introduction to Bayesian Statistics - Martin A Tanner - Wed, Fri 9:30AM - 10:50AM

390-0 Data Science Project

20: Data Science Project - Lizhen Shi - Tues, Thurs 12:30PM - 1:50PM

420-1 Introduction to Statistical Theory & Methodology-1

20: Introduction to Statistical Theory & Methodology-1 - Noelle I Samia - Tues, Thurs 2:00PM - 3:20PM

430-1 Probability for Statistical Inference 1

20: Probability for Statistical Inference 1 - Feng Ruan - Tues, Thurs 2:00PM - 3:20PM

455-0 Advanced Qualitative Data Analysis

20: Advanced Qualitative Data Analysis - Noelle I Samia - Tues, Thurs 11:00AM - 12:20PM

461-0 Advanced Topics in Statistics

20: Advanced Statistical Theory 1 - Advanced Topics in Statistics - Matey Neykov - Mon, Wed 12:30PM - 1:50PM

595-0 Internship

1: Internship