Courses

Tentative information about Fall 2023 Courses is posted below. Clicking on course titles will lead you to more information on the Canvas site.

The Statistics Department also offers some courses online.

blitzstein


The Statistics probability course (STAT 110) is offered as an online course and is taught by Professor of the Practice Joseph Blitzstein. Joe Blitzstein has taught this course each year since 2006.
See the course on YouTube or at edX

Courses List: Fall 2024

Fall
Course Title
Instructor(s)
Day(s)
Time(s)
Location
STAT 91r

Supervised Reading and Research

Kevin Rader
TBD
TBD
TBD
STAT 99r
Tutorial - Senior Year
Alex Young
TBD TBD TBD
STAT 100

Introduction to Statistics and Data Science

Kelly McConville
TBD TBD TBD
STAT 104 Introduction to Quantitative Methods for Economics Kevin Rader TBD TBD TBD
STAT 107
Introduction to Data Management James Xenakis TBD TBD TBD
STAT 108 Introduction to Statistical Computing with R Kelly McConville TBD TBD TBD
STAT 109A
Data Science 1
Natesh Pillai, Pavlos Protopapas
TBD TBD TBD
STAT 110
Introduction to Probability
Joe Blitzstein
TBD TBD TBD
STAT 116 Biostatistics Methods and Practices Kevin Rader TBD TBD TBD
STAT 120 Introduction to Bayesian Inference and Applications Samuel Kou TBD TBD TBD
STAT 139
Introduction to Linear Models
James Xenakis 
TBD TBD TBD
STAT 184 Introduction to Reinforcement Learning Lucas Janson TBD TBD TBD
STAT 185
Introduction to Unsupervised Learning
Alex Young
TBD TB TBD
STAT 188 Variations, Information and Privacy Xiao-Li Meng W 3:00pm-5:45pm TBD
STAT 210
Probability 1
Joe Blitzstein
TBD TBD TBD
STAT 211
Lucas Janson
TBD TBD TBD
STAT 216
Topics in high-dimensional probability
Subhabrata Sen
TBD
TBD
TBD
STAT 236 Network and Text Data Analysis Tracy Ke TBD TBD TBD
STAT 242
Neil Shepard 
TBD
TBD TBD
STAT 244
Linear and Generalized Linear Models Mark Glickman TBD TBD TBD
STAT 300HFRA
Mark Glickman, Natesh Pillai TBD
TBD
TBD
STAT 301 Special Reading and Research All Faculty TBD TBD TBD
STAT 310HFRA
Topics in Astrostatistics
Xiao-Li Meng
W 12:00pm-2:45pm TBD
STAT 314HFRA
TBD TBD TBD TBD
STAT 314HFRA
(314 HFRA split meeting pattern)
M
12:00pm-1:15pm
SC 316.12
 

*SC = Science Center 

*Course Schedules Tentative

Harvard Course Catalogs

 

 

Courses List - Spring 2024

Spring Course Title Instructor Day(s) Time(s) Location
STAT 91r Supervised Reading + Research Kevin Rader TBD                           TBD                               TBD                              
STAT 98 Tutorial - Junior Year Kevin Rader Thursdays 3:00-5:45pm Science Center (SC) 706
STAT 99r Tutorial - Senior Year Alex Young Fridays 10:30-11:45am SC 705
STAT 100 Introduction to Statistics and Data Science Kelly McConville M/W 1:30-2:45pm SC Hall C
STAT 102 Introduction to Statistics for Life Sciences James Xenakis, Julie Vu T/Th 10:30-11:45am SC B09
STAT 104 Introduction to Quant. Methods for Econ Kevin Rader T/Th 1:30-2:45pm SC Hall D
STAT 109B Data Science 2: Advanced Topics in Data Science Alex Young, Pavlos Protopapas M/W/F 9:45-11am Science and Engineering Complex (SEC) 1.321
STAT 111 Introduction to Statistical Inference Joe Blitzstein, Neil Shephard T/Th 1:30-2:45pm SC Hall C
STAT 114 Introduction to Bioinformatics and Statistical Genetics James Xenakis M/W 3:00-4:15pm SC Hall A
STAT 117 Data Analysis in Modern Biostatistics Giovanni Parmigiani T/Th 9:00am-10:15am SC 705
STAT 131 Introduction to Time Series and Prediction Tracy Ke M/W 3:00pm-4:15pm SC 309
STAT 143 Sports Analytics Mark Glickman M/W 1:30-2:45pm SC Hall A
STAT 149 Introduction to Generalized Linear Models Mark Glickman M/W 9:00-10:15am SC Hall A
STAT 160 Introduction to Survey Sampling and Estimation Kelly McConville M/W 10:30-11:45am Emerson Hall 108
STAT 171 Introduction to Stochastic Processes Subhabrata Sen M/W 1:30pm-2:45pm SC Hall E
STAT 186 Introduction to Causal Inference Susan Murphy M/W 4:30-5:45pm SC 705
STAT 195 Introduction to Supervised Learning Pragya Sur M/W 1:30-2:45pm SC 309
STAT 212 Probability II Morgane Austern M/W 4:30-5:45pm SC B10
STAT 213 Statistical Inference II Pragya Sur M/W 1:30-2:45pm SC 705
STAT 217 Topics in High-Dimensional Statistics: Methods from Statistical Physics Subhabrata Sen M/W 9:00-10:15am SC 706
STAT 220 Bayesian Data Analysis Jun Liu M/W 3:00-4:15pm SC Hall E
STAT 234 Sequential Decision Making Susan Murphy M/W 1:30-2:45pm SC 222
STAT 288 Deep Statistics: AI and Earth Observations for Sustainable Development Xiao-Li Meng Tuesdays 9:00-11:45am SC 706
STAT 291 Random High-Dimensional Optimization: Algorithms and Barriers Mark Sellke T/Th 10:30-11:45am SC 309A
STAT 300HFRB Research in Statistics Tracy Ke, Mark Glickman T/Th 12:00-1:15pm SC 316.12
STAT 301 Special Reading and Research All Faculty TBD TBD TBD
STAT 303HFB The Art and Practice of Teaching Statistics Alex Young, Mark Sellke Tuesdays 3:00-5:00pm SC 706
STAT 305R Statistical Consulting Lucas Janson TBD TBD TBD
STAT 310HFRB Topics in Astrostatistics Xiao-Li Meng Wednesdays 12:00-2:45pm SC 706
STAT 314HFRB Timely Topics in Statistics Mark Sellke Mondays 10:30-11:45am SC 111
STAT 364 Scalable Statistical Inference for Big Data with Applications Xihong Lin Mondays 10:30-11:45am SC 706

 

*Course Schedules Tentative

Spring 2024 Course List (pdf) - TBD

Harvard Course Catalogs

 

 


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