Week | Date | Lectures and Reading | HW and Quizzes |
01 | March 26, Mon | Syllabus, Lecture 1a and 1b: Syllabus and Introduction | |
March 28, Wed | Lecture 1-c: Python Workshop |
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02 | April 02, Mon | Lecture 2: Pandas |
HW01 Due |
April 04, Wed | Lecture 2: Pandas | Project Proposal Due | |
03 | April 09, Mon | Quiz 1 | |
April 11, Wed | Lecture 2: Data Cleaning with Pandas | ||
04 | April 16, Mon | Lecture 3: Unstructured & Semi-structured Data + NumPy | HW02 Due |
April 18, Wed | Lecture 3: Data Wrangling | ||
05 | April 23, Mon | Lecture 4: Text Data Analysis & Inference | |
April 25, Wed | Midterm Exam |
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06 | April 30, Mon | Lecture 4: Text Data Analysis & Inference | HW03 Due |
May 02, Wed | Lecture 4: Text Data Analysis & Inference | Project Progress Report Due | |
07 | May 07, Mon | Lecture 5: Evaluations | |
May 09, Wed | Lecture 6: Machine Learning on Data | ||
08 | May 14, Mon | Lecture 6: Machine Learning on Data | HW04 Due |
May 16, Wed | Guest Lecture on Viz: Dr. Ben Steichen | Quiz 2 | |
09 | May 21, Mon | Lecture 7: Delivering Results with R and Lecture 8: Intro. to Weka | |
May 23, Wed | Revisions | ||
10 | May 28, Mon | Memorial Day Holiday - Campus Closed | |
May 30, Wed | Project Demo Day! |
Project Final Report Due, HW05 Due June 1st, 12 midnight | |
June 04, Mon | Final Exam, 1.50 pm - 3.50 pm | 8-302 |