Courses

Tentative information about Fall 2022 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.

Courses List: Spring 2022

 
Spring Course Title Instructor Day(s) Time(s) Location
STAT 91r Supervised Read + Research Kevin Rader TBD TBD  
STAT 98 Tutorial - Junior Year Kevin Rader, Kelly McConville W 3:00 - 5:00pm SC 706
STAT 99r Tutorial - Senior Year Alex Young F 10:30 - 11:45am TBD
STAT 100 Intro to Stat & Data Science Kelly McConville MW 10:30 - 11:45am  
STAT 102 Intro to Stat for Life Sciences Kevin Rader T Th 10:30 - 11:45am SC Hall E
STAT 104 Intro to Quant. Methods for Econ Kevin Rader T Th 1:30 - 2:45pm SC Hall A
STAT 111 Intro to Statistical Inference Neil Shephard T Th 1:30 - 2:45pm SC Hall C
STAT 117 Data Analysis in Modern Biostats Giovanni Parmigiani T Th 9:00 - 10:15am SC 705
STAT 121B Data Science 2  (Advanced Topics in Data Science) Mark Glickman, Pavlos Protopapas MWF 9:45 - 11:00am ALLSTON
STAT 123 Quantitative Finance Stephen Blyth WF 12:00 - 1:15pm Jefferson 250
STAT 131 Time Series and Prediction Tracy Ke T Th 1:30 - 2:45pm SC Hall D
STAT 149 Generalized Linear Models Mark Glickman MW 1:30 - 2:45pm SC 605
STAT 171 Intro to Stochastic Processes Subhabrata Sen MW 9:00 - 10:15am SC Hall E
STAT 186 Intro to Causal Inference Susan Murphy MW 4:30 - 5:45pm SC 705
STAT 195 Intro to Supervised Learning Pragya Sur T Th 10:30 - 11:45am SC B10
STAT 212 Probability 2 Morgane Austern MW 4:30 - 5:45pm SC B10
STAT 213 Statistical Inference 2 Pragya Sur T Th 1:30 - 2:45pm SC B10
STAT 234 Sequential Decision Making Susan Murphy MW 1:30 - 2:45pm SC 705
STAT 288 Statistical Thinking for Data Science Xiao-Li Meng T 9:00 - 11:45am SC 706
STAT 293/393 Design of Experimental and Non-experimental Studies Jose Zubizarreta F 9:00 - 11:45am SC 316
STAT 300HFRB Research in Statistics Neil Shephard, Tracy Ke Th 12:00 - 1:15pm SC 316
STAT 303HFRB The Art & Practice of Teaching Stats Xiao-Li Meng, Morgane Austern TBD TBD  
STAT 305r Statistical Consulting Lucas Janson TBD TBD  
STAT 314HFRB Timely Topics in Statistics / Colloquium Morgane Austern TBD TBD SC 316
STAT 314HFRB Colloquium (314 HFRB split meeting pattern) M 12:00 - 1:15pm SC 316
STAT 364 Scalable Stat Inf for Big Data w Apps Xihong Lin M 10:30 - 11:45am SC 706

*Course Schedules Tentative

Spring 2022 Course List (pdf) - coming soon

Harvard Course Catalog

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 2022

Fall
Course Title
Instructor(s)
Day(s)
Time(s)
Location
91r
Kevin Rader
TBD
TBD
TBD
99r
Alex Young
TBD
TBD
TBD
100
Kelly McConville
TBD
TBD
TBD
104
Kevin Rader
TBD
TBD
TBD
109A
Data Science 1
Natesh Pillai, Pavlos Protopapas
TBD
TBD
TBD
110
Joe Blitzstein
TBD
TBD
TBD
120
Sam Kou
TBD
TBD
TBD
139
Kevin Rader
TBD
TBD
TBD
151
Luke Miratrix
TBD
TBD
TBD
184
Introduction to Reinforcement learning
Lucas Janson and Sham Kakade
TBD
TBD
TBD
185
Alex Young
TBD
TBD
TBD
210
Joe Blitzstein
TBD
TBD
TBD
211
Lucas Janson
TBD
TBD
TBD
216
Natesh Pillai
TBD
TBD
TBD
221
Jun Liu
TBD
TBD
TBD
244
Mark Glickman
TBD
TBD
TBD
286
Kosuke Imai
TBD
TBD
TBD
300HFRA
TBD
TBD
TBD
TBD
303HFRA
Blitzstein and TBD
TBD
TBD
TBD
305r
Lucas Janson
TBD
TBD
TBD
314HFRA
Morgane Austern
TBD
TBD
TBD
314HFRA
Colloquium
(314 HFRA split meeting pattern)
TBD
TBD
TBD
 

 

*Course Schedules Tentative

Fall 2022 Course List (pdf) - TBD

Harvard Course Catalogs

 

 

Courses List - Spring 2023

Spring Course Title Instructor Day(s) Time(s) Location
STAT 91r Supervised Read + Research Kevin Rader TBD                           TBD                               TBD                              
STAT 98 Tutorial - Senior Year TBD 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 102 Introduction to Statistics for Life Sciences TBD TBD TBD TBD
STAT 104 Introduction to Quant. Methods for Econ Kevin Rader TBD TBD TBD
STAT 109B Data Science 2 Mark Glickman, Pavlos Protopapas TBD TBD TBD
STAT 111 Introduction to Statistical Inference Joe Blitzstein TBD TBD TBD
STAT 117 Data Analysis in Modern Biostats Giovanni Parmigiani TBD TBD TBD
STAT 131 Introduction to Time Series and Prediction Tracy Ke TBD TBD TBD
STAT 141 Introduction to Spatial Statistics Alex Young TBD TBD TBD
STAT 149 Introduction to Generalized Linear Models Mark Glickman TBD TBD TBD
STAT 160 Introduction to Survey Sampling and Estimation     Kelly McConville TBD TBD TBD
STAT 171 Introduction to Stochastic Processes Subhabrata Sen TBD TBD TBD
STAT 186 Introduction to Causal Inference TBD TBD TBD TBD
STAT 212 Probability 2 Morgane Austern TBD TBD TBD
STAT 213 Statistical Inference 2 Pragya Sur TBD TBD TBD
STAT 220 Bayesian Data Analysis Jun Liu TBD TBD TBD
STAT TBD TBD Subhabrata Sen TBD TBD TBD
STAT 288 Deep Statistics for Data Science Xiao-Li Meng TBD TBD TBD
STAT 293/393 Design of Experimental and Non-experimental Studies   Jose Zubizarreta TBD TBD TBD
STAT 300HFRB Research in Statistics Tracy Ke and TBD TBD TBD TBD
STAT 303HFRB The Art of teaching & communicating statistics Xiao-Li Meng and TBD TBD TBD TBD
STAT 305r Statistical Consulting Lucas Janson TBD TBD TBD
STAT 314HFRB Timely Topics in Statistics / Colloquium TBD TBD TBD TBD
STAT 314HFRB Colloquium (314 HFRB split meeting pattern) TBD TBD TBD

 

*Course Schedules Tentative

Spring 2023 Course List (pdf) - TBD

Harvard Course Catalogs

 

 


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