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Some class resources are on Blackboard
Practice problems for Exam 2 which, as I noted in class, is Nov 20 before T'giving, a change from syllabus (There's also a Word file of this on Bb)
Homework 7 due next week Nov 13 (well, by midnight somewhere on the globe so I'll accept uploads on Blackboard until 8am in NYC the next day).
Homework 6 due next week Nov 6 (well, by midnight somewhere on the globe so I'll accept uploads on Blackboard until 8am in NYC the next day).
About Final Project
Exam 1 .
Homework 5 due next week Oct 16 (well, by midnight somewhere on the globe so I'll accept uploads on Blackboard until 8am in NYC the next day).
Practice Problems for Exam 1 and Shay rewrote into Rmd format that also put them into better order (Note due to oddities of web server, I gotta call it .Rmd.txt so if you download then change the file extension)
Homework 4 due next week Oct 9 (well, by midnight somewhere on the globe so I'll accept uploads on Blackboard until 8am in NYC the next day).
Possible Solutions for Homework 3.
Homework 3 due next week Oct 2 (well, by midnight somewhere on the globe so I'll accept uploads on Blackboard until 8am in NYC the next day).
Powerpoint about k-nn estimators (with voice narration)
Powerpoint about Hypothesis Tests (with voice narration)
Powerpoint about Is that Big? (with voice narration)
We'll use DataCamp, a combination of short expert videos and hands-on-the-keyboard exercises. Take over 100+ courses by expert instructors on topics such as importing data, data visualization or machine learning and learn faster through immediate and personalised feedback on every exercise 
Homework 2 due next week Sept 25 (well, by midnight somewhere on the globe so I'll accept uploads on Blackboard until 8am in NYC the next day). Long delay because holidays mean no class for 2 weeks!
Homework 1 due next week Sept 4 (well, by midnight somewhere on the globe so I'll accept uploads on Blackboard until 8am in NYC the next day)
Powerpoint about beginning stats (with voice narration)
Class Lecture Notes up to p 50 should be review and of course this is a draft, might change as we go along particularly parts after p 150 or so
I've got several datasets in R format for you
The zip file includes the data as well as some details about how I created it. To begin you will likely only need the RData file.
R Basics for Lecture 1 requires that you download PUMS data above
Video 1 on basics for R - these go along with the R Basics for Lecture 1 page above; then Video 2
the markdown file for R Basics,
Preliminaries: refresh your basic stats knowledge for Diagnostic Test early, start to learn R
Syllabus
specific skills to be learned in this course
Grading Policy
High-Risk
Grade Option due by Sept 25 if you want the risky option
My expectations of you and your expectations for me
A Refresher on Basic Skills. Most of it should be too basic but it
needs to be communicated.
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