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#DateTOPICClass TypeReading (all from Analytics: The Agile Way unless otherwise noted)Notes / Assignments due
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11/8/2018Introduction and Course Overview Lecture & discussionn/aSign up for course Slack team. (You have received an invitation via e-mail.)
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21/10/2018The Power of Dynamic DataLecture & discussionPreface and IntroductionSyllabus quiz at beginning of class.
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31/15/2018No Class - MLK Day
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31/17/2018In-class exercise #1: Employee turnover data Exercise
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41/22/2018Analytics Background and TrendsLecture, discussion, and exerciseChapter 1
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51/24/2018The Fundamentals of Contemporary Data
Lecture & discussionChapter 2At the beginning of class, we're going to select our teams for capstone projects. Come with your first and second project choices.
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61/29/2018The Fundamentals of Contemporary Analytics and Scraping Data
Lecture, discussion, and exerciseChapter 3Bring your computers; we're going to scrape data.
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71/31/2018The Case for Agile Analytics; 20-minute in-class guest lecture Lecture & discussionChapter 4Individual research project proposal due by midnight
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82/5/2018Scrum, part 1Lecture & discussionChapter 5
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92/7/2018Scrum, part 2Lecture, discussion, and exerciseChapter 5We'll determine the order for presentations at the start of class.
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102/12/2018Iteration 1 (Capstone project)PresentationsSlides due before you present. Ideally you're showing some type of temo here; this shouldn't just be a retread of your first iteration.
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112/14/2018A Framework for Agile Analytics and an in-class exercise: Amazon's thorny data problemLecture, discussion, and exerciseChapter 6
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122/19/2018Modeling Your DataLecture & discussionChapter 6
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132/21/2018DataViz: The Good, Bad, and UglyLecture, discussion, and exerciseLiterature Review/Problem Analysis due by midnight. Please use template and incorporate my notes and suggestions from your first version. If you don't turn in as "asurite_2.pdf", then I won't accept it. (For instance, psimon3_2.pdf)
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142/26/2018Iteration 2 (Capstone project)PresentationsSlides due before you present. You should be presenting initial findings and possibly demos of models and crude data visualizations.
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152/28/2018The Power of MetadataLecture, discussion, and exerciseHandout from Everthing is MiscellaneousTo access the handout, go to: http://bit.ly/2yrvPuz
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Spring break
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163/12/2018Data Quality; Analytics case study: Justice and AnalyticsLecture & discussion
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173/14/2018Data in the news and an in-class exerciseExercise and work dayn/aAfter an in-class exercise, I want to meet with each group for about 5 minutes to talk about your projects.
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183/19/2018Case study: ASU Tutoring CenterLecture, discussion, and exerciseChapter 7Bring your laptops. We're gong to play with data.
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193/21/2018Test-and-Learn Strategies; Case study: HR Analytics at Google Lecture, discussion, and videoChapter 8
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213/26/2018How Netflix Uses DataLecture, discussion, and exercise
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223/28/2018Group capstone project presentations: Iteration #3Presentationsn/aSlides due before you present
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234/2/2018Resistance to Analytics: Case Study and VideoLecture & discussionChapter 9Mid-term papers due by midnight
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244/4/2018Additional case studiesLecture & discussionChapter 10,
Chapter 11
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254/9/2018Agile Analytics: Benefits, Drawbacks, and Limitations Lecture & discussionChapter 12,
Chapter 13
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264/11/2018Bayes’ Theorem and Careers in Analytics Lecture & discussion
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274/16/2018Exit interviewsExit InterviewsThey will take place at 3:05 pm in MU-Pima (rm#230).
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284/18/2018Designing for Data, Privacy, and SecurityLecture & discussionChapter 14
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294/23/2018Data Governance, Big Data, and William McKnightLecture, exercise, and discussionChapter 15
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304/25/2018SuperforecastersLecture and ExerciseHandout from Superforecasters - https://goo.gl/ZEJz6CFinal individual papers due by 11:59 pm; of course, you can turn them in earlier if you like.
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31FinalsFinal group capstone presentations (iteration #4)PresentationsSlides and group papers due by the end of the day in Blackboard.
Section 28548 4:50 pm to 6:40 pm in April 30th in MCRD-270
Section 22894 - 2:30 to 4:20 pm on May 4th in BAC323
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