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z;GP6)g=P;q_=$VH=QZk59vOgY_G2F7=VY8Z9_8Vt{B00Q|Hp{wpW+ukF!{Lz>HiS$ z!UHoTL681}fK`Is0{BSq<73Lq2*1*jlFPVpF<1m^{a;D8?|(i5xD z09KU%eA>XVRQm&3G<1~H9zkM5#~aYRp(8h}Xz0L0Lf$aGks}-rr?zN>N7*I>MEiK7 zA6~+zjU44+EhfSBUeP}Aq>-b4E+20%`av*%TZG6aj)K9Fm4*)PHy>~C{dW>~A-0Jl3TiiX zG=u17j>y2O)e<6%2leOKBIf0d@rPl}9M!)aH%{*8c Class Schedule — Unifying Data Science Skip to content

Class Schedule

Class: Tuesday / Thursday, 1:25-2:40pm

Office Hours:

Date

Topic

Do Before Class

In Class

Thrs, Jan 11

Course Overview

Tues, Jan 16

Solving Problems by Answering Questions

Thrs, Jan 18

Stakeholder Management

Tues, Jan 23

Proscriptive v. Descriptive Questions

Thrs, Jan 25

Exploratory Questions

Tues, Jan 30

Exploratory Questions

Thrs, Feb 1

Teams 1

Tues, Feb 6

Teams 2

Thrs, Feb 8

Passive Prediction Questions

Tues, Feb 13

Passive Prediction Questions

Thrs, Feb 15

Passive Prediction Questions

Tues, Feb 20

Causal Questions

Thrs, Feb 22

Causal Questions

Exercise

Tues, Feb 27

Causal Questions

  • Cunningham, Chpt 4, pp 135 (“Independence Assumption”) - 148 (Stop at “Randomization Inference”)

  • Indicator Variables

(Note SDO (Simple Difference in Outcomes) in Cunningham same as “widehat{ATE} from class)

Optional:

  • Read Chpt 4 in Cunningham from start (different presentation of potential outcomes)

Exercise

Thrs, Feb 29

Causal Questions: Experiments

Experiments: Internal Validity (In Practice):

  • Kohvani, Tang and Xu: Chpt 2 (End to End Example)

  • Kohavi, Tang and Xu: Chpt 3, “Threats to Internal Validity” (p. 42-47)

  • Kohvani, Tang and Xu: Chpt 19 (A/A Testing)

Tues, Mar 5

Causal Questions: Experiments

Overall Evaluation Criteria: Kohavi, Tang, and Xu Chpt 7.

Finishing Internal Validity:

  • Different Randomizations: Kohavi, Tang and Xu Chpt 22

Experiments: External Validity (In Practice):

  • Kohavi, Tang and Xu, Chpt 3, “Threats to External Validity” to end (p. 47-54)

  • Kohvai, Tang and Xu, Chpt 23 (Primacy Effects / Long Term Decay)

Exercise

Thrs, Mar 7

Optional Class

Optional Class

Tues, Mar 12

NO CLASS

Thrs, Mar 14

NO CLASS

Tues, Mar 19

Causal Questions: Experiments

Designing Experiments

Thrs, Mar 21

Review Day

AB Testing Review

Tues, Mar 26

Causal Questions: Experiments

Decision Making Under Uncertainty

Thrs, Mar 28

MIDTERM

MIDTERM

Tues, Apr 2

Causal Questions: Regression

  • Causal Beyond Experiments

Thrs, Apr 4

Causal Questions: Indicators and Fixed Effects

Tues, Apr 9

Causal Questions: Matching

  • Cunningham, Chpt 5, pp 175 (“Matching and Subclassification”) - 206 (Stop before “Propensity Score Matching”)

Thrs, Apr 11

Causal Questions: Differences and Differences / Panels

  • Cunningham, Chpt 9 pp 406 (Difference in Differences) - pp 433 (Stop at “Importance of Placebos in Diff-in-Diff”)

  • Diff-in-Diffs at Netflix

Optional but encouraged: (dont need to follow everything, but here’s a real diff-in-diff)

Tues, Apr 16

Ethics

Tues, Apr 18

EXTRAS

Stuff that didn’t make it to class

  • Adversarial Users:

Texts Referenced in Schedule:

\ No newline at end of file + Class Schedule — Unifying Data Science Skip to content

Class Schedule

Class: Tuesday / Thursday, 1:25-2:40pm

Office Hours:

Date

Topic

Do Before Class

In Class

Thrs, Jan 11

Course Overview

Tues, Jan 16

Solving Problems by Answering Questions

Thrs, Jan 18

Stakeholder Management

Tues, Jan 23

Proscriptive v. Descriptive Questions

Thrs, Jan 25

Exploratory Questions

Tues, Jan 30

Exploratory Questions

Thrs, Feb 1

Teams 1

Tues, Feb 6

Teams 2

Thrs, Feb 8

Passive Prediction Questions

Tues, Feb 13

Passive Prediction Questions

Thrs, Feb 15

Passive Prediction Questions

Tues, Feb 20

Causal Questions

Thrs, Feb 22

Causal Questions

Exercise

Tues, Feb 27

Causal Questions

  • Cunningham, Chpt 4, pp 135 (“Independence Assumption”) - 148 (Stop at “Randomization Inference”)

  • Indicator Variables

(Note SDO (Simple Difference in Outcomes) in Cunningham same as “widehat{ATE} from class)

Optional:

  • Read Chpt 4 in Cunningham from start (different presentation of potential outcomes)

Exercise

Thrs, Feb 29

Causal Questions: Experiments

Experiments: Internal Validity (In Practice):

  • Kohvani, Tang and Xu: Chpt 2 (End to End Example)

  • Kohavi, Tang and Xu: Chpt 3, “Threats to Internal Validity” (p. 42-47)

  • Kohvani, Tang and Xu: Chpt 19 (A/A Testing)

Tues, Mar 5

Causal Questions: Experiments

Overall Evaluation Criteria: Kohavi, Tang, and Xu Chpt 7.

Finishing Internal Validity:

  • Different Randomizations: Kohavi, Tang and Xu Chpt 22

Experiments: External Validity (In Practice):

  • Kohavi, Tang and Xu, Chpt 3, “Threats to External Validity” to end (p. 47-54)

  • Kohvai, Tang and Xu, Chpt 23 (Primacy Effects / Long Term Decay)

Exercise

Thrs, Mar 7

Optional Class

Optional Class

Tues, Mar 12

NO CLASS

Thrs, Mar 14

NO CLASS

Tues, Mar 19

Causal Questions: Experiments

Designing Experiments

Power Ex

Thrs, Mar 21

Review Day

AB Testing Review

Tues, Mar 26

Causal Questions: Experiments

  • Statistical Decision Theory (on Canvas). 550-556

(This is same as IDS 705 Lecture 8 Reading)

Thrs, Mar 28

MIDTERM

MIDTERM

Tues, Apr 2

Causal Questions: Regression

  • Causal Beyond Experiments

Thrs, Apr 4

Causal Questions: Indicators and Fixed Effects

Tues, Apr 9

Causal Questions: Matching

  • Cunningham, Chpt 5, pp 175 (“Matching and Subclassification”) - 206 (Stop before “Propensity Score Matching”)

Thrs, Apr 11

Causal Questions: Differences and Differences / Panels

  • Cunningham, Chpt 9 pp 406 (Difference in Differences) - pp 433 (Stop at “Importance of Placebos in Diff-in-Diff”)

  • Diff-in-Diffs at Netflix

Optional but encouraged: (dont need to follow everything, but here’s a real diff-in-diff)

Tues, Apr 16

Ethics

Tues, Apr 18

EXTRAS

Stuff that didn’t make it to class

  • Adversarial Users:

Texts Referenced in Schedule:

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"exercises/exercise_optimalABthresholds", "exercises/exercise_panel", "exercises/exercise_passive_prediction", "exercises/exercise_potential_outcomes1", "exercises/exercise_potential_outcomes2", "exercises/exercise_power_calculations", "exercises/exercise_regressions_incomeineq", "exercises/exercise_resume_experiment", "exercises/exercise_stakeholder_management", "exercises/exercise_taxonomy_of_questions", "exercises/setup_diffindiff", "exercises/solutions_first_class_capstone_proposal", "exercises/solutions_interpretable", "exercises/solutions_passive_prediction", "exercises/solutions_resume_experiment", "fixed_effects", "fixed_effects_and_causal_inference", "fixed_effects_v_hierarchical", "how_to_read", "index", "internal_v_external_validity", "interpreting_indicator_vars", "limitations_of_ATE", "matching_how", "matching_why", "moving_from_problems_to_questions", "nick_ab_testing_checklist", "public_data", "pvalues_and_decision_making", "reading_reflections", "solutions", 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Choose Your Training Data Carefully": [[7, "1.-Choose-Your-Training-Data-Carefully"]], "2. Only Use Opaque Models When You Have To": [[7, "2.-Only-Use-Opaque-Models-When-You-Have-To"]], "3. Use Models with Functional Form Constraints": [[7, "3.-Use-Models-with-Functional-Form-Constraints"]], "4. Compare Predictions for Sub-Populations": [[7, "4.-Compare-Predictions-for-Sub-Populations"]], "5. \u201cNo\u201d is Always An Option": [[7, "5.-%22No%22-is-Always-An-Option"]], "Tools for Interpretable / Constrained Machine Learning": [[7, "Tools-for-Interpretable-/-Constrained-Machine-Learning"]], "Interpretable Models": [[7, "Interpretable-Models"]], "Tools for Neural Networks": [[7, "Tools-for-Neural-Networks"]], "Constrained Models": [[7, "Constrained-Models"]], "Tools for Introspection": [[7, "Tools-for-Introspection"]], "Evaluating Real Studies": [[8, "Evaluating-Real-Studies"]], "The Sun Is Bright for Dogs Too": [[8, "The-Sun-Is-Bright-for-Dogs-Too"]], "Evaluating Baseline Differences": [[8, "Evaluating-Baseline-Differences"]], "Why we need all three": [[8, "Why-we-need-all-three"]], "Evaulating Differential Treatment Effects": [[8, "Evaulating-Differential-Treatment-Effects"]], "What Comes Next?": [[8, "What-Comes-Next?"]], "Well this has been unsatisfying": [[8, 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"Exercise-6"], [29, "Exercise-6"], [30, "Exercise-6"], [11, "Exercise-6"], [36, "Exercise-6"], [37, "Exercise-6"], [35, "Exercise-6"], [28, "Exercise-6"]], "Exercise 7": [[13, "Exercise-7"], [15, "Exercise-7"], [20, "Exercise-7"], [21, "Exercise-7"], [22, "Exercise-7"], [24, "Exercise-7"], [25, "Exercise-7"], [29, "Exercise-7"], [30, "Exercise-7"], [11, "Exercise-7"], [36, "Exercise-7"], [37, "Exercise-7"], [35, "Exercise-7"], [28, "Exercise-7"]], "Marijuana Legalization and Violent Crime": [[13, "Marijuana-Legalization-and-Violent-Crime"]], "Evaluating Studies": [[14, "Evaluating-Studies"]], "Study 1: Gym Memberships": [[14, "Study-1:-Gym-Memberships"]], "Study 2: Car Insurance": [[14, "Study-2:-Car-Insurance"]], "Study 3: Billboard": [[14, "Study-3:-Billboard"]], "Crime and Policing Expenditures Exploratory Questions": [[15, "Crime-and-Policing-Expenditures-Exploratory-Questions"]], "Exercises": [[15, "Exercises"], [28, "Exercises"]], "After you have answered\u2026": [[15, "After-you-have-answered..."]], "Your First Stakeholder": [[16, "Your-First-Stakeholder"]], "The Proposal": [[16, "The-Proposal"]], "Your Task": [[16, "Your-Task"], [31, "Your-Task"]], "Converting Stakeholder Prompts into Actionable Questions": [[17, "Converting-Stakeholder-Prompts-into-Actionable-Questions"]], "Causality in the Time of Cholera": [[18, "Causality-in-the-Time-of-Cholera"], [19, "Causality-in-the-Time-of-Cholera"]], "Question 1:": [[18, "Question-1:"], [19, "Question-1:"]], "Question 2:": [[18, "Question-2:"], [19, "Question-2:"]], "Question 3:": [[18, "Question-3:"], [19, "Question-3:"]], "Question 4": [[18, "Question-4"], [19, "Question-4"]], "Question 5": [[18, "Question-5"], [19, "Question-5"]], "Question 6": [[18, "Question-6"], [19, "Question-6"]], "Question 7:": [[18, "Question-7:"], [19, "Question-7:"]], "Question 8:": [[18, "Question-8:"], [19, "Question-8:"]], "Question 9:": [[18, "Question-9:"], [19, "Question-9:"]], "Interpreting Indicator Variables": [[20, "Interpreting-Indicator-Variables"]], "Indicator Variables and Omitted Variable Bias": [[20, "Indicator-Variables-and-Omitted-Variable-Bias"]], "Interaction Effects": [[20, "Interaction-Effects"]], "Exercise 9": [[21, "Exercise-9"], [22, "Exercise-9"], [25, "Exercise-9"], [29, "Exercise-9"], [30, "Exercise-9"], [11, "Exercise-9"], [36, "Exercise-9"], [37, "Exercise-9"], [35, "Exercise-9"], [28, "Exercise-9"]], "Exercise 10": [[21, "Exercise-10"], [22, "Exercise-10"], [25, "Exercise-10"], [29, "Exercise-10"], [30, "Exercise-10"], [11, "Exercise-10"], [36, "Exercise-10"], [37, "Exercise-10"], [35, "Exercise-10"], [28, "Exercise-10"]], "Exercise 11": [[21, "Exercise-11"], [22, "Exercise-11"], [25, "Exercise-11"], [29, "Exercise-11"], [30, "Exercise-11"], [11, "Exercise-11"], [36, "Exercise-11"], [37, "Exercise-11"], [35, "Exercise-11"], [28, "Exercise-11"]], "Exercise 12": [[21, "Exercise-12"], [22, "Exercise-12"], [25, "Exercise-12"], [29, "Exercise-12"], [30, "Exercise-12"], [11, "Exercise-12"], [36, "Exercise-12"], [37, "Exercise-12"], [35, "Exercise-12"]], "Exercise 13": [[21, "Exercise-13"], [22, "Exercise-13"], [25, "Exercise-13"], [29, "Exercise-13"], [30, "Exercise-13"], [11, "Exercise-13"], [36, "Exercise-13"], [37, "Exercise-13"], [35, "Exercise-13"], [28, "Exercise-13"]], "Exercise 14": [[21, "Exercise-14"], [22, "Exercise-14"], [25, "Exercise-14"], [29, "Exercise-14"], [11, "Exercise-14"], [36, "Exercise-14"], [35, "Exercise-14"], [28, "Exercise-14"]], "Interpretable Modelling of Credit Risk": [[21, "Interpretable-Modelling-of-Credit-Risk"], [35, "Interpretable-Modelling-of-Credit-Risk"]], "Data Prep": [[21, "Data-Prep"], [35, "Data-Prep"]], "Model Fitting": [[21, "Model-Fitting"], [35, "Model-Fitting"]], "Let\u2019s See This Interpretability!": [[21, "Let's-See-This-Interpretability!"], [35, "Let's-See-This-Interpretability!"]], "Exercise 15": [[21, "Exercise-15"], [22, "Exercise-15"], [25, "Exercise-15"], [11, "Exercise-15"], [36, "Exercise-15"], [35, "Exercise-15"], [28, "Exercise-15"]], "Exercise 16": [[21, "Exercise-16"], [22, "Exercise-16"], [25, "Exercise-16"], [36, "Exercise-16"], [35, "Exercise-16"]], "Exercise 17": [[21, "Exercise-17"], [25, "Exercise-17"], [36, "Exercise-17"], [35, "Exercise-17"]], "Matching Exercise": [[22, "Matching-Exercise"]], "Matching Packages: Python v. R": [[22, "Matching-Packages:-Python-v.-R"]], "Installing dame-flame.": [[22, "Installing-dame-flame."]], "Data Setup": [[22, "Data-Setup"]], "Getting To Know Your Data": [[22, "Getting-To-Know-Your-Data"]], "Matching!": [[22, "Matching!"]], "Let\u2019s Do Matching with DAME": [[22, "Let's-Do-Matching-with-DAME"]], "Interpreting DAME output": [[22, "Interpreting-DAME-output"]], "Getting Back a Dataset": [[22, "Getting-Back-a-Dataset"]], "Check Your Matches and Analyze": [[22, "Check-Your-Matches-and-Analyze"]], "Other Forms of Matching": [[22, "Other-Forms-of-Matching"]], "Optimal AB Testing Design": [[23, "Optimal-AB-Testing-Design"]], "The Experiment": [[23, "The-Experiment"]], "Question 2": [[23, "Question-2"]], "Question 3": [[23, "Question-3"]], "Traffic Death Analysis": [[24, "Traffic-Death-Analysis"]], "Fixed Effects by Demeaning": [[24, "Fixed-Effects-by-Demeaning"]], "Predicting Mortgage Delinquency Risk": [[25, "Predicting-Mortgage-Delinquency-Risk"], [36, "Predicting-Mortgage-Delinquency-Risk"]], "Gradescope Autograding": [[25, "Gradescope-Autograding"], [30, "Gradescope-Autograding"], [11, "Gradescope-Autograding"], [36, "Gradescope-Autograding"], [37, "Gradescope-Autograding"]], "Submission Limits": [[25, "Submission-Limits"], [30, "Submission-Limits"], [11, "Submission-Limits"], [36, "Submission-Limits"], [37, "Submission-Limits"]], "Data Cleaning and Organization": [[25, "Data-Cleaning-and-Organization"], [36, "Data-Cleaning-and-Organization"]], "Modelling Delinquency Risk": [[25, "Modelling-Delinquency-Risk"], [36, "Modelling-Delinquency-Risk"]], "Now To The Future": [[25, "Now-To-The-Future"], [36, "Now-To-The-Future"]], "Exercise 18": [[25, "Exercise-18"], [36, "Exercise-18"]], "Making Potential Outcomes Concrete": [[26, "Making-Potential-Outcomes-Concrete"]], "The Study": [[26, "The-Study"], [27, "The-Study"]], "Mapping to the Potential Outcomes Framework": [[26, "Mapping-to-the-Potential-Outcomes-Framework"], [27, "Mapping-to-the-Potential-Outcomes-Framework"]], "Observability": [[26, "Observability"], [27, "Observability"]], "Causal Inference": [[26, "Causal-Inference"], [27, "Causal-Inference"]], "Making Potential Outcomes Concrete 2": [[27, "Making-Potential-Outcomes-Concrete-2"]], "Estimating Gender Discrimination in the Workplace": [[29, "Estimating-Gender-Discrimination-in-the-Workplace"]], "Soliciting Information From Your Stakeholder": [[31, "Soliciting-Information-From-Your-Stakeholder"]], "Stakeholder Project Proposal": [[31, "Stakeholder-Project-Proposal"]], "A Data Analysis of Voting Access on College Campuses": [[31, "A-Data-Analysis-of-Voting-Access-on-College-Campuses"]], "Background": [[31, "Background"], [57, "Background"]], "Objectives": [[31, "Objectives"]], "Our Approach": [[31, "Our-Approach"]], "Generating and Classifying Questions": [[32, "Generating-and-Classifying-Questions"]], "Exploratory Question:": [[32, "Exploratory-Question:"], [32, "id1"]], "Passive-Predictive Question:": [[32, "Passive-Predictive-Question:"], [32, "id2"]], "Causal Question:": [[32, "Causal-Question:"], [32, "id3"]], "Groupby and Arrest Data": [[33, "Groupby-and-Arrest-Data"]], "Learning the Group Structure of Your Data": [[33, "Learning-the-Group-Structure-of-Your-Data"]], "Testing Your Assumptions": [[33, "Testing-Your-Assumptions"]], "Acme Corportation Solution": [[34, "Acme-Corportation-Solution"]], "Fixed Effects: Indicator Variables for Groups": [[38, "Fixed-Effects:-Indicator-Variables-for-Groups"]], "Implementing Fixed Effects": [[38, "Implementing-Fixed-Effects"]], "Clustering": [[38, "Clustering"]], "Computationally Efficient Fixed Effects": [[38, "Computationally-Efficient-Fixed-Effects"]], "Fixed Effects and Causal Inference": [[39, "Fixed-Effects-and-Causal-Inference"]], "Fixed Effects and Hierarchical Models": [[40, "Fixed-Effects-and-Hierarchical-Models"]], "Fixed Effects & Clustered Standard Errors": [[40, "Fixed-Effects-&-Clustered-Standard-Errors"]], "Things To Remember:": [[40, "Things-To-Remember:"]], "How to Read (Academic Edition)": [[41, "How-to-Read-(Academic-Edition)"]], "Read Actively": [[41, "Read-Actively"]], "Be Patient with Examples From Different Domains": [[41, "Be-Patient-with-Examples-From-Different-Domains"]], "Do NOT Summarize with LLMs": [[41, "Do-NOT-Summarize-with-LLMs"]], "Welcome to Solving Problems with Data!": [[42, "welcome-to-solving-problems-with-data"]], "Pre-Requisites for Non-MIDS Students": [[42, "pre-requisites-for-non-mids-students"]], "Syllabus": [[42, "syllabus"]], "Internal and External Validity": [[43, "Internal-and-External-Validity"]], "Internal Validity": [[43, "Internal-Validity"]], "External Validity": [[43, "External-Validity"]], "External Validity Considerations": [[43, "External-Validity-Considerations"]], "Trade-Offs Between Internal and External Validity": [[43, "Trade-Offs-Between-Internal-and-External-Validity"]], "Conclusion": [[43, "Conclusion"], [55, "Conclusion"]], "Using and Interpreting Indicator (Dummy) Variables": [[44, "Using-and-Interpreting-Indicator-(Dummy)-Variables"]], "What are indicator variables?": [[44, "What-are-indicator-variables?"]], "The ONE thing that you must understand when using indicator variables:": [[44, "The-ONE-thing-that-you-must-understand-when-using-indicator-variables:"]], "Indicator Variables with Two Category Variable": [[44, "Indicator-Variables-with-Two-Category-Variable"]], "Indicator Variables for variables with more than 2 categories": [[44, "Indicator-Variables-for-variables-with-more-than-2-categories"]], "Interactions with Constant Variables": [[44, "Interactions-with-Constant-Variables"]], "Keeping Things Straight": [[44, "Keeping-Things-Straight"]], "The * operator": [[44, "The-*-operator"]], "Interactions Between Multiple Indicator Variables": [[44, "Interactions-Between-Multiple-Indicator-Variables"]], "Fixed Effects": [[44, "Fixed-Effects"]], "Limitations of Experiments (and Average Treatment Effects)": [[45, "Limitations-of-Experiments-(and-Average-Treatment-Effects)"]], "Who\u2019s Average?": [[45, "Who's-Average?"]], "The Fine Print of ATE": [[45, "The-Fine-Print-of-ATE"]], "SUTVA": [[45, "SUTVA"]], "How Matching is Done (A Summary)": [[46, "How-Matching-is-Done-(A-Summary)"]], "Pruning Your Data": [[46, "Pruning-Your-Data"]], "Measuring Similarity": [[46, "Measuring-Similarity"]], "When Can / Should I Use Matching?": [[46, "When-Can-/-Should-I-Use-Matching?"]], "Checking Balance": [[46, "Checking-Balance"]], "Analyze!": [[46, "Analyze!"]], "Specific Models": [[46, "Specific-Models"]], "Matching": [[47, "Matching"]], "Model Dependency": [[47, "Model-Dependency"]], "Model Dependency, Causal Inference, and Imbalance": [[47, "Model-Dependency,-Causal-Inference,-and-Imbalance"]], "Matching: Better thought of as pruning": [[47, "Matching:-Better-thought-of-as-pruning"]], "The Cost of Matching": [[47, "The-Cost-of-Matching"]], "Causal Inference Assumptions": [[47, "Causal-Inference-Assumptions"]], "In Summary": [[47, "In-Summary"]], "Converting Stakeholder Prompts into Questions": [[48, "Converting-Stakeholder-Prompts-into-Questions"]], "What\u2019s The Real Problem / Need": [[48, "What's-The-Real-Problem-/-Need"]], "What Questions Do I Need To Ask?": [[48, "What-Questions-Do-I-Need-To-Ask?"]], "Make Your Questions Specific and Actionable": [[48, "Make-Your-Questions-Specific-and-Actionable"]], "Many Questions?": [[48, "Many-Questions?"]], "What to Read Next": [[48, "What-to-Read-Next"]], "Nick\u2019s Things to Think About Before A/B Testing": [[49, "Nick's-Things-to-Think-About-Before-A/B-Testing"]], "Step 0: Are You Sure You Should Do This?": [[49, "Step-0:-Are-You-Sure-You-Should-Do-This?"]], "Step 1: Define Your Goals": [[49, "Step-1:-Define-Your-Goals"]], "Step 2: Plan Implementation": [[49, "Step-2:-Plan-Implementation"]], "Step 3: Run!": [[49, "Step-3:-Run!"]], "Step 4: Check Internal Validity": [[49, "Step-4:-Check-Internal-Validity"]], "Step 5: Interpret Results": [[49, "Step-5:-Interpret-Results"]], "Step 6: Consider External Validity": [[49, "Step-6:-Consider-External-Validity"]], "Reading Reflections": [[52, "Reading-Reflections"]], "Looking for the solutions?": [[54, "Looking-for-the-solutions?"]], "OK, if you are still interested in looking at the solutions\u2026": [[54, "OK,-if-you-are-still-interested-in-looking-at-the-solutions..."]], "Taxonomy of Questions": [[55, "Taxonomy-of-Questions"]], "Positive versus Normative Questions": [[55, "Positive-versus-Normative-Questions"]], "Descriptive Questions": [[55, "Descriptive-Questions"]], "Descriptive Example 1: Nope, This Time Isn\u2019t Different": [[55, "Descriptive-Example-1:-Nope,-This-Time-Isn't-Different"]], "Descriptive Example 3: Disease Surveillance": [[55, "Descriptive-Example-3:-Disease-Surveillance"]], "Descriptive Example 4: Global Warming": [[55, "Descriptive-Example-4:-Global-Warming"]], "Descriptive Questions and EDA": [[55, "Descriptive-Questions-and-EDA"]], "Last Thoughts": [[55, "Last-Thoughts"]], "Causal Questions and Prediction-with-Manipulation": [[55, "Causal-Questions-and-Prediction-with-Manipulation"]], "Why Causal Inference is Hard": [[55, "Why-Causal-Inference-is-Hard"]], "Causal Inference, Manipulations, and Prediction": [[55, "Causal-Inference,-Manipulations,-and-Prediction"]], "Classification Questions / Prediction-Without-Manipulation": [[55, "Classification-Questions-/-Prediction-Without-Manipulation"]], "\u201cWithout Manipulation\u201d?": [[55, "%22Without-Manipulation%22?"]], "Using Exploratory Questions to Better Understanding Your Problem": [[56, "Using-Exploratory-Questions-to-Better-Understanding-Your-Problem"]], "Your First Assignment": [[56, "Your-First-Assignment"]], "Part 2: Choosing a Problem": [[56, "Part-2:-Choosing-a-Problem"]], "Part 3: Specifying and Answering Questions": [[56, "Part-3:-Specifying-and-Answering-Questions"]], "Data": [[56, "Data"]], "Writing Data Science Report for Non-Technical Audiences": [[57, "Writing-Data-Science-Report-for-Non-Technical-Audiences"]], "Identify your audience": [[57, "Identify-your-audience"]], "Introduction / Executive Summary": [[57, "Introduction-/-Executive-Summary"]], "Your Design": [[57, "Your-Design"]], "Your Results": [[57, "Your-Results"]], "Conclusions": [[57, "Conclusions"]], "Appendix": [[57, "Appendix"]], "Resume Experiment Analysis": [[30, "Resume-Experiment-Analysis"], [37, "Resume-Experiment-Analysis"]], "Checking for Balance": [[30, "Checking-for-Balance"], [37, "Checking-for-Balance"]], "Estimating Effect of Race": [[30, "Estimating-Effect-of-Race"], [37, "Estimating-Effect-of-Race"]], "Estimating Heterogeneous Effects": [[30, "Estimating-Heterogeneous-Effects"], [37, "Estimating-Heterogeneous-Effects"]], "What Did We Just Measure?": [[30, "What-Did-We-Just-Measure?"], [37, "What-Did-We-Just-Measure?"]], "A/B Testing the Udacity Website": [[11, "A/B-Testing-the-Udacity-Website"]], "Udacity\u2019s Test": [[11, "Udacity's-Test"]], "Import the Data": [[11, "Import-the-Data"]], "Pick your measures": [[11, "Pick-your-measures"]], "Validating The Data": [[11, "Validating-The-Data"]], "Estimating the Effect of Experiment": [[11, "Estimating-the-Effect-of-Experiment"]], "Where To Find Public Data": [[50, "Where-To-Find-Public-Data"]], "Good Starting Points": [[50, "Good-Starting-Points"]], "Other Interesting Data Sources": [[50, "Other-Interesting-Data-Sources"]], "Data with a Spatial/GIS Component": [[50, "Data-with-a-Spatial/GIS-Component"]], "Public Satellite Data": [[50, "Public-Satellite-Data"]], "Other Lists of Data That Are Great": [[50, "Other-Lists-of-Data-That-Are-Great"]], "Solutions": [[53, "Solutions"]], "Power Calculations and Experiment Planning": [[28, "Power-Calculations-and-Experiment-Planning"]], "The Context": [[28, "The-Context"]], "Extra Credit Extension": [[28, "Extra-Credit-Extension"]], "Footnotes": [[28, "Footnotes"]], "Class Schedule": [[4, "class-schedule"]]}, "indexentries": {}}) \ No newline at end of file +Search.setIndex({"docnames": ["DRAFT_ml_bias", "UDS_midterm_part2_2022", "backwards_design", "causal_inference_beyond_ab_testing", "class_schedule", "descriptive_questions", "endogenous_stopping", "ethical_ml_recommendations", "evaluating_real_studies", "exercises/discussion_exploratory", "exercises/discussion_regressions_incomeineq", "exercises/exercise_abtesting", "exercises/exercise_counterfactuals", "exercises/exercise_diffindiff", "exercises/exercise_evaluating_studies", "exercises/exercise_exploratory", "exercises/exercise_first_class_capstone_proposal", "exercises/exercise_generating_questions", "exercises/exercise_ghostmap_1", "exercises/exercise_ghostmap_2", "exercises/exercise_indicators", "exercises/exercise_interpretable", "exercises/exercise_matching", "exercises/exercise_optimalABthresholds", "exercises/exercise_panel", "exercises/exercise_passive_prediction", "exercises/exercise_potential_outcomes1", "exercises/exercise_potential_outcomes2", "exercises/exercise_power_calculations", "exercises/exercise_regressions_incomeineq", "exercises/exercise_resume_experiment", "exercises/exercise_stakeholder_management", "exercises/exercise_taxonomy_of_questions", "exercises/setup_diffindiff", "exercises/solutions_first_class_capstone_proposal", "exercises/solutions_interpretable", "exercises/solutions_passive_prediction", "exercises/solutions_resume_experiment", "fixed_effects", "fixed_effects_and_causal_inference", "fixed_effects_v_hierarchical", "how_to_read", "index", "internal_v_external_validity", "interpreting_indicator_vars", "limitations_of_ATE", "matching_how", "matching_why", "moving_from_problems_to_questions", "nick_ab_testing_checklist", "public_data", "pvalues_and_decision_making", "reading_reflections", "solutions", "solutions_warning", "taxonomy_of_questions", "team_assignments/UDS_TeamProject_Exploratory", "writing_to_stakeholders"], "filenames": ["DRAFT_ml_bias.ipynb", "UDS_midterm_part2_2022.ipynb", "backwards_design.ipynb", "causal_inference_beyond_ab_testing.ipynb", "class_schedule.rst", "descriptive_questions.ipynb", "endogenous_stopping.ipynb", "ethical_ml_recommendations.ipynb", "evaluating_real_studies.ipynb", "exercises/discussion_exploratory.ipynb", "exercises/discussion_regressions_incomeineq.ipynb", "exercises/exercise_abtesting.ipynb", "exercises/exercise_counterfactuals.ipynb", "exercises/exercise_diffindiff.ipynb", "exercises/exercise_evaluating_studies.ipynb", "exercises/exercise_exploratory.ipynb", "exercises/exercise_first_class_capstone_proposal.ipynb", "exercises/exercise_generating_questions.ipynb", "exercises/exercise_ghostmap_1.ipynb", "exercises/exercise_ghostmap_2.ipynb", "exercises/exercise_indicators.ipynb", "exercises/exercise_interpretable.ipynb", "exercises/exercise_matching.ipynb", "exercises/exercise_optimalABthresholds.ipynb", "exercises/exercise_panel.ipynb", "exercises/exercise_passive_prediction.ipynb", "exercises/exercise_potential_outcomes1.ipynb", "exercises/exercise_potential_outcomes2.ipynb", "exercises/exercise_power_calculations.ipynb", "exercises/exercise_regressions_incomeineq.ipynb", "exercises/exercise_resume_experiment.ipynb", "exercises/exercise_stakeholder_management.ipynb", "exercises/exercise_taxonomy_of_questions.ipynb", "exercises/setup_diffindiff.ipynb", "exercises/solutions_first_class_capstone_proposal.ipynb", "exercises/solutions_interpretable.ipynb", "exercises/solutions_passive_prediction.ipynb", "exercises/solutions_resume_experiment.ipynb", "fixed_effects.ipynb", "fixed_effects_and_causal_inference.ipynb", "fixed_effects_v_hierarchical.ipynb", "how_to_read.ipynb", "index.rst", "internal_v_external_validity.ipynb", "interpreting_indicator_vars.ipynb", "limitations_of_ATE.ipynb", "matching_how.ipynb", "matching_why.ipynb", "moving_from_problems_to_questions.ipynb", "nick_ab_testing_checklist.ipynb", "public_data.ipynb", "pvalues_and_decision_making.ipynb", "reading_reflections.ipynb", "solutions.ipynb", "solutions_warning.ipynb", "taxonomy_of_questions.ipynb", "team_assignments/UDS_TeamProject_Exploratory.ipynb", "writing_to_stakeholders.ipynb"], "titles": ["Backwards Design", "UDS Midterm 2022, Part 2", "Backwards Design", "Beyond The Experiment", "Class Schedule", "Researcher Discretion in Descriptive Analysis", "Peeking / Endogenous Stopping", "Recommendations for Responsible Machine Learning", "Evaluating Real Studies", "Discussion of Descriptive Exercises", "Interpreting Causal Effects of Gender", "A/B Testing the Udacity Website", "Counter-Factuals and Experimental Ideals", "Marijuana Legalization and Violent Crime", "Evaluating Studies", "Crime and Policing Expenditures Exploratory Questions", "Your First Stakeholder", "Converting Stakeholder Prompts into Actionable Questions", "Causality in the Time of Cholera", "Causality in the Time of Cholera", "Interpreting Indicator Variables", "Interpretable Modelling of Credit Risk", "Matching Exercise", "Optimal AB Testing Design", "Traffic Death Analysis", "Predicting Mortgage Delinquency Risk", "Making Potential Outcomes Concrete", "Making Potential Outcomes Concrete 2", "Power Calculations and Experiment Planning", "Estimating Gender Discrimination in the Workplace", "Resume Experiment Analysis", "Soliciting Information From Your Stakeholder", "Generating and Classifying Questions", "Groupby and Arrest Data", "Acme Corportation Solution", "Interpretable Modelling of Credit Risk", "Predicting Mortgage Delinquency Risk", "Resume Experiment Analysis", "Fixed Effects: Indicator Variables for Groups", "Fixed Effects and Causal Inference", "Fixed Effects and Hierarchical Models", "How to Read (Academic Edition)", "Welcome to Solving Problems with Data!", "Internal and External Validity", "Using and Interpreting Indicator (Dummy) Variables", "Limitations of Experiments (and Average Treatment Effects)", "How Matching is Done (A Summary)", "Matching", "Converting 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35, 36, 37, 38, 43, 44, 45, 46, 49, 57], "mess": 3, "heart": [3, 14, 43], "care": [3, 7, 8, 11, 21, 27, 29, 30, 34, 35, 37, 38, 43, 45, 47, 49, 50, 55, 56, 57], "improv": [3, 7, 11, 16, 29, 30, 32, 37, 45, 55, 56], "younger": [3, 29], "woker": 3, "offer": [3, 7, 8, 11, 12, 14, 23, 27, 28, 29, 33, 40, 41, 43, 50, 55], "childcar": 3, "subsidi": 3, "workforc": [3, 5, 29], "union": [3, 12], "benefit": [3, 30, 37, 45, 49], "contract": [3, 18], "scale": [3, 15, 28, 30, 37, 43], "larger": [3, 8, 11, 13, 29, 31, 39, 40, 44, 50], "larg": [3, 6, 8, 11, 12, 24, 27, 28, 30, 31, 32, 37, 40, 41, 43, 45, 47, 48], "area": [3, 7, 14, 16, 17, 25, 32, 36, 40, 46, 47, 48, 50, 52, 56], "increasingli": 3, "outsid": [3, 14, 47], "administ": 3, "program": [3, 16, 27, 28, 31, 36, 42, 43, 48, 54, 56], "servic": [3, 11, 16, 18, 25, 36, 38, 43, 50, 56], "pai": [3, 10, 11, 12, 13, 14, 23, 28, 29, 43], "vendor": 3, "base": [3, 6, 7, 11, 15, 20, 21, 22, 25, 28, 35, 36, 37, 38, 41, 43, 49, 50], "input": [3, 7, 16, 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"scienc": 57, "report": 57, "technic": 57, "audienc": 57, "introduct": 57, "execut": 57, "appendix": 57, "power": 28, "calcul": 28, "extra": 28, "extens": 28, "footnot": 28}, "envversion": {"sphinx.domains.c": 3, "sphinx.domains.changeset": 1, "sphinx.domains.citation": 1, "sphinx.domains.cpp": 9, "sphinx.domains.index": 1, "sphinx.domains.javascript": 3, "sphinx.domains.math": 2, "sphinx.domains.python": 4, "sphinx.domains.rst": 2, "sphinx.domains.std": 2, "nbsphinx": 4, "sphinx": 60}, "alltitles": {"Backwards Design": [[0, "Backwards-Design"], [2, "Backwards-Design"]], "Overview": [[0, "Overview"], [2, "Overview"]], "1) Define Your Problem": [[0, "1)-Define-Your-Problem"], [2, "1)-Define-Your-Problem"]], "2) Define the Question You Wish to Answer": [[0, "2)-Define-the-Question-You-Wish-to-Answer"], [2, "2)-Define-the-Question-You-Wish-to-Answer"]], "A Digression on Supervised Machine Learning": [[0, "A-Digression-on-Supervised-Machine-Learning"], [2, "A-Digression-on-Supervised-Machine-Learning"]], "UDS Midterm 2022, Part 2": [[1, "UDS-Midterm-2022,-Part-2"]], "Estimating The Effect of Education on Employment": [[1, "Estimating-The-Effect-of-Education-on-Employment"]], "Getting to Know Your Data": [[1, "Getting-to-Know-Your-Data"]], "Subsetting for People over 25 in the Labor Force": [[1, "Subsetting-for-People-over-25-in-the-Labor-Force"]], "Measuring Education": [[1, "Measuring-Education"]], "Education and Employment": [[1, "Education-and-Employment"]], "Defining a Good Question": [[2, "Defining-a-Good-Question"]], "Why is Having a Good Question Important?": [[2, "Why-is-Having-a-Good-Question-Important?"]], "3) Write Down What An Answer Would Look Like": [[2, "3)-Write-Down-What-An-Answer-Would-Look-Like"]], "Falsifiability": [[2, "Falsifiability"]], "4) What Data Do You Need?": [[2, "4)-What-Data-Do-You-Need?"]], "5) Where Can You Get That Data?": [[2, "5)-Where-Can-You-Get-That-Data?"]], "Wrapping Up": [[2, "Wrapping-Up"]], "Beyond The Experiment": [[3, "Beyond-The-Experiment"]], "A/B Testing Isn\u2019t Always Feasible": [[3, "A/B-Testing-Isn't-Always-Feasible"]], "A/B Testing Isn\u2019t Always Legal or Ethical": [[3, "A/B-Testing-Isn't-Always-Legal-or-Ethical"]], "Going Beyond Testing for the Future": [[3, "Going-Beyond-Testing-for-the-Future"]], "Don\u2019t want to be limited": [[3, "Don't-want-to-be-limited"]], "Not enough to be able to do it; you must be able to explain it": [[3, "Not-enough-to-be-able-to-do-it;-you-must-be-able-to-explain-it"]], "Researcher Discretion in Descriptive Analysis": [[5, "Researcher-Discretion-in-Descriptive-Analysis"]], "Faithful Representation": [[5, "Faithful-Representation"]], "Choosing What To Ask and Present": [[5, "Choosing-What-To-Ask-and-Present"]], "Context": [[5, "Context"], [31, "Context"]], "Values": [[5, "Values"]], "Peeking / Endogenous Stopping": [[6, "Peeking-/-Endogenous-Stopping"]], "Recommendations for Responsible Machine Learning": [[7, "Recommendations-for-Responsible-Machine-Learning"]], "1. Choose Your Training Data Carefully": [[7, "1.-Choose-Your-Training-Data-Carefully"]], "2. Only Use Opaque Models When You Have To": [[7, "2.-Only-Use-Opaque-Models-When-You-Have-To"]], "3. Use Models with Functional Form Constraints": [[7, "3.-Use-Models-with-Functional-Form-Constraints"]], "4. Compare Predictions for Sub-Populations": [[7, "4.-Compare-Predictions-for-Sub-Populations"]], "5. \u201cNo\u201d is Always An Option": [[7, "5.-%22No%22-is-Always-An-Option"]], "Tools for Interpretable / Constrained Machine Learning": [[7, "Tools-for-Interpretable-/-Constrained-Machine-Learning"]], "Interpretable Models": [[7, "Interpretable-Models"]], "Tools for Neural Networks": [[7, "Tools-for-Neural-Networks"]], "Constrained Models": [[7, "Constrained-Models"]], "Tools for Introspection": [[7, "Tools-for-Introspection"]], "Evaluating Real Studies": [[8, "Evaluating-Real-Studies"]], "The Sun Is Bright for Dogs Too": [[8, "The-Sun-Is-Bright-for-Dogs-Too"]], "Evaluating Baseline Differences": [[8, "Evaluating-Baseline-Differences"]], "Why we need all three": [[8, "Why-we-need-all-three"]], "Evaulating Differential Treatment Effects": [[8, "Evaulating-Differential-Treatment-Effects"]], "What Comes Next?": [[8, "What-Comes-Next?"]], "Well this has been unsatisfying": [[8, "Well-this-has-been-unsatisfying"]], "Discussion of Descriptive Exercises": [[9, "Discussion-of-Descriptive-Exercises"]], "Exercise 8": [[9, "Exercise-8"], [15, "Exercise-8"], [20, "Exercise-8"], [21, "Exercise-8"], [22, "Exercise-8"], [24, "Exercise-8"], [25, "Exercise-8"], [29, "Exercise-8"], [30, "Exercise-8"], [11, "Exercise-8"], [36, "Exercise-8"], [37, "Exercise-8"], [35, "Exercise-8"], [28, "Exercise-8"]], "Takeaways": [[9, "Takeaways"]], "Absolutely positively need the solutions?": [[9, "Absolutely-positively-need-the-solutions?"], [20, "Absolutely-positively-need-the-solutions?"], [22, "Absolutely-positively-need-the-solutions?"], [24, "Absolutely-positively-need-the-solutions?"]], "Interpreting Causal Effects of Gender": [[10, "Interpreting-Causal-Effects-of-Gender"]], "Counter-Factuals and Experimental Ideals": [[12, "Counter-Factuals-and-Experimental-Ideals"]], "What is a Counterfactual?": [[12, "What-is-a-Counterfactual?"]], "What is a randomized experiment?": [[12, "What-is-a-randomized-experiment?"]], "Identifying Counter-Factuals": [[12, "Identifying-Counter-Factuals"]], "Exercise 1:": [[12, "Exercise-1:"], [29, "Exercise-1:"]], "Exercise 2:": [[12, "Exercise-2:"], [17, "Exercise-2:"], [29, "Exercise-2:"]], "Exercise 3:": [[12, "Exercise-3:"]], "Exercise 1": [[13, "Exercise-1"], [15, "Exercise-1"], [17, "Exercise-1"], [20, "Exercise-1"], [21, "Exercise-1"], [22, "Exercise-1"], [24, "Exercise-1"], [25, "Exercise-1"], [31, "Exercise-1"], [32, "Exercise-1"], [30, "Exercise-1"], [11, "Exercise-1"], [36, "Exercise-1"], [37, "Exercise-1"], [35, "Exercise-1"], [28, "Exercise-1"]], "Exercise 2": [[13, "Exercise-2"], [15, "Exercise-2"], [20, "Exercise-2"], [21, "Exercise-2"], [22, "Exercise-2"], [24, "Exercise-2"], [25, "Exercise-2"], [31, "Exercise-2"], [32, "Exercise-2"], [30, "Exercise-2"], [11, "Exercise-2"], [36, "Exercise-2"], [37, "Exercise-2"], [35, "Exercise-2"], [28, "Exercise-2"]], "Exercise 3": [[13, "Exercise-3"], [15, "Exercise-3"], [20, "Exercise-3"], [21, "Exercise-3"], [22, "Exercise-3"], [24, "Exercise-3"], [25, "Exercise-3"], [29, "Exercise-3"], [31, "Exercise-3"], [30, "Exercise-3"], [11, "Exercise-3"], [36, "Exercise-3"], [37, "Exercise-3"], [35, "Exercise-3"], [28, "Exercise-3"]], "Exercise 4": [[13, "Exercise-4"], [15, "Exercise-4"], [20, "Exercise-4"], [21, "Exercise-4"], [22, "Exercise-4"], [24, "Exercise-4"], [25, "Exercise-4"], [29, "Exercise-4"], [30, "Exercise-4"], [11, "Exercise-4"], [36, "Exercise-4"], [37, "Exercise-4"], [35, "Exercise-4"], [28, "Exercise-4"]], "Exercise 5": [[13, "Exercise-5"], [15, "Exercise-5"], [20, "Exercise-5"], [21, "Exercise-5"], [22, "Exercise-5"], [24, "Exercise-5"], [25, "Exercise-5"], [29, "Exercise-5"], [30, "Exercise-5"], [11, "Exercise-5"], [36, "Exercise-5"], [37, "Exercise-5"], [35, "Exercise-5"], [28, "Exercise-5"]], "Exercise 6": [[13, "Exercise-6"], [15, "Exercise-6"], [20, "Exercise-6"], [21, "Exercise-6"], [22, "Exercise-6"], [24, "Exercise-6"], [24, "id1"], [25, "Exercise-6"], [29, "Exercise-6"], [30, "Exercise-6"], [11, "Exercise-6"], [36, "Exercise-6"], [37, "Exercise-6"], [35, "Exercise-6"], [28, "Exercise-6"]], "Exercise 7": [[13, "Exercise-7"], [15, "Exercise-7"], [20, "Exercise-7"], [21, "Exercise-7"], [22, "Exercise-7"], [24, "Exercise-7"], [25, "Exercise-7"], [29, "Exercise-7"], [30, "Exercise-7"], [11, "Exercise-7"], [36, "Exercise-7"], [37, "Exercise-7"], [35, "Exercise-7"], [28, "Exercise-7"]], "Marijuana Legalization and Violent Crime": [[13, "Marijuana-Legalization-and-Violent-Crime"]], "Evaluating Studies": [[14, "Evaluating-Studies"]], "Study 1: Gym Memberships": [[14, "Study-1:-Gym-Memberships"]], "Study 2: Car Insurance": [[14, "Study-2:-Car-Insurance"]], "Study 3: Billboard": [[14, "Study-3:-Billboard"]], "Crime and Policing Expenditures Exploratory Questions": [[15, "Crime-and-Policing-Expenditures-Exploratory-Questions"]], "Exercises": [[15, "Exercises"], [28, "Exercises"]], "After you have answered\u2026": [[15, "After-you-have-answered..."]], "Your First Stakeholder": [[16, "Your-First-Stakeholder"]], "The Proposal": [[16, "The-Proposal"]], "Your Task": [[16, "Your-Task"], [31, "Your-Task"]], "Converting Stakeholder Prompts into Actionable Questions": [[17, "Converting-Stakeholder-Prompts-into-Actionable-Questions"]], "Causality in the Time of Cholera": [[18, "Causality-in-the-Time-of-Cholera"], [19, "Causality-in-the-Time-of-Cholera"]], "Question 1:": [[18, "Question-1:"], [19, "Question-1:"]], "Question 2:": [[18, "Question-2:"], [19, "Question-2:"]], "Question 3:": [[18, "Question-3:"], [19, "Question-3:"]], "Question 4": [[18, "Question-4"], [19, "Question-4"]], "Question 5": [[18, "Question-5"], [19, "Question-5"]], "Question 6": [[18, "Question-6"], [19, "Question-6"]], "Question 7:": [[18, "Question-7:"], [19, "Question-7:"]], "Question 8:": [[18, "Question-8:"], [19, "Question-8:"]], "Question 9:": [[18, "Question-9:"], [19, "Question-9:"]], "Interpreting Indicator Variables": [[20, "Interpreting-Indicator-Variables"]], "Indicator Variables and Omitted Variable Bias": [[20, "Indicator-Variables-and-Omitted-Variable-Bias"]], "Interaction Effects": [[20, "Interaction-Effects"]], "Exercise 9": [[21, "Exercise-9"], [22, "Exercise-9"], [25, "Exercise-9"], [29, "Exercise-9"], [30, "Exercise-9"], [11, "Exercise-9"], [36, "Exercise-9"], [37, "Exercise-9"], [35, "Exercise-9"], [28, "Exercise-9"]], "Exercise 10": [[21, "Exercise-10"], [22, "Exercise-10"], [25, "Exercise-10"], [29, "Exercise-10"], [30, "Exercise-10"], [11, "Exercise-10"], [36, "Exercise-10"], [37, "Exercise-10"], [35, "Exercise-10"], [28, "Exercise-10"]], "Exercise 11": [[21, "Exercise-11"], [22, "Exercise-11"], [25, "Exercise-11"], [29, "Exercise-11"], [30, "Exercise-11"], [11, "Exercise-11"], [36, "Exercise-11"], [37, "Exercise-11"], [35, "Exercise-11"], [28, "Exercise-11"]], "Exercise 12": [[21, "Exercise-12"], [22, "Exercise-12"], [25, "Exercise-12"], [29, "Exercise-12"], [30, "Exercise-12"], [11, "Exercise-12"], [36, "Exercise-12"], [37, "Exercise-12"], [35, "Exercise-12"]], "Exercise 13": [[21, "Exercise-13"], [22, "Exercise-13"], [25, "Exercise-13"], [29, "Exercise-13"], [30, "Exercise-13"], [11, "Exercise-13"], [36, "Exercise-13"], [37, "Exercise-13"], [35, "Exercise-13"], [28, "Exercise-13"]], "Exercise 14": [[21, "Exercise-14"], [22, "Exercise-14"], [25, "Exercise-14"], [29, "Exercise-14"], [11, "Exercise-14"], [36, "Exercise-14"], [35, "Exercise-14"], [28, "Exercise-14"]], "Interpretable Modelling of Credit Risk": [[21, "Interpretable-Modelling-of-Credit-Risk"], [35, "Interpretable-Modelling-of-Credit-Risk"]], "Data Prep": [[21, "Data-Prep"], [35, "Data-Prep"]], "Model Fitting": [[21, "Model-Fitting"], [35, "Model-Fitting"]], "Let\u2019s See This Interpretability!": [[21, "Let's-See-This-Interpretability!"], [35, "Let's-See-This-Interpretability!"]], "Exercise 15": [[21, "Exercise-15"], [22, "Exercise-15"], [25, "Exercise-15"], [11, "Exercise-15"], [36, "Exercise-15"], [35, "Exercise-15"], [28, "Exercise-15"]], "Exercise 16": [[21, "Exercise-16"], [22, "Exercise-16"], [25, "Exercise-16"], [36, "Exercise-16"], [35, "Exercise-16"]], "Exercise 17": [[21, "Exercise-17"], [25, "Exercise-17"], [36, "Exercise-17"], [35, "Exercise-17"]], "Matching Exercise": [[22, "Matching-Exercise"]], "Matching Packages: Python v. R": [[22, "Matching-Packages:-Python-v.-R"]], "Installing dame-flame.": [[22, "Installing-dame-flame."]], "Data Setup": [[22, "Data-Setup"]], "Getting To Know Your Data": [[22, "Getting-To-Know-Your-Data"]], "Matching!": [[22, "Matching!"]], "Let\u2019s Do Matching with DAME": [[22, "Let's-Do-Matching-with-DAME"]], "Interpreting DAME output": [[22, "Interpreting-DAME-output"]], "Getting Back a Dataset": [[22, "Getting-Back-a-Dataset"]], "Check Your Matches and Analyze": [[22, "Check-Your-Matches-and-Analyze"]], "Other Forms of Matching": [[22, "Other-Forms-of-Matching"]], "Optimal AB Testing Design": [[23, "Optimal-AB-Testing-Design"]], "The Experiment": [[23, "The-Experiment"]], "Question 2": [[23, "Question-2"]], "Question 3": [[23, "Question-3"]], "Traffic Death Analysis": [[24, "Traffic-Death-Analysis"]], "Fixed Effects by Demeaning": [[24, "Fixed-Effects-by-Demeaning"]], "Predicting Mortgage Delinquency Risk": [[25, "Predicting-Mortgage-Delinquency-Risk"], [36, "Predicting-Mortgage-Delinquency-Risk"]], "Gradescope Autograding": [[25, "Gradescope-Autograding"], [30, "Gradescope-Autograding"], [11, "Gradescope-Autograding"], [36, "Gradescope-Autograding"], [37, "Gradescope-Autograding"]], "Submission Limits": [[25, "Submission-Limits"], [30, "Submission-Limits"], [11, "Submission-Limits"], [36, "Submission-Limits"], [37, "Submission-Limits"]], "Data Cleaning and Organization": [[25, "Data-Cleaning-and-Organization"], [36, "Data-Cleaning-and-Organization"]], "Modelling Delinquency Risk": [[25, "Modelling-Delinquency-Risk"], [36, "Modelling-Delinquency-Risk"]], "Now To The Future": [[25, "Now-To-The-Future"], [36, "Now-To-The-Future"]], "Exercise 18": [[25, "Exercise-18"], [36, "Exercise-18"]], "Making Potential Outcomes Concrete": [[26, "Making-Potential-Outcomes-Concrete"]], "The Study": [[26, "The-Study"], [27, "The-Study"]], "Mapping to the Potential Outcomes Framework": [[26, "Mapping-to-the-Potential-Outcomes-Framework"], [27, "Mapping-to-the-Potential-Outcomes-Framework"]], "Observability": [[26, "Observability"], [27, "Observability"]], "Causal Inference": [[26, "Causal-Inference"], [27, "Causal-Inference"]], "Making Potential Outcomes Concrete 2": [[27, "Making-Potential-Outcomes-Concrete-2"]], "Estimating Gender Discrimination in the Workplace": [[29, "Estimating-Gender-Discrimination-in-the-Workplace"]], "Soliciting Information From Your Stakeholder": [[31, "Soliciting-Information-From-Your-Stakeholder"]], "Stakeholder Project Proposal": [[31, "Stakeholder-Project-Proposal"]], "A Data Analysis of Voting Access on College Campuses": [[31, "A-Data-Analysis-of-Voting-Access-on-College-Campuses"]], "Background": [[31, "Background"], [57, "Background"]], "Objectives": [[31, "Objectives"]], "Our Approach": [[31, "Our-Approach"]], "Generating and Classifying Questions": [[32, "Generating-and-Classifying-Questions"]], "Exploratory Question:": [[32, "Exploratory-Question:"], [32, "id1"]], "Passive-Predictive Question:": [[32, "Passive-Predictive-Question:"], [32, "id2"]], "Causal Question:": [[32, "Causal-Question:"], [32, "id3"]], "Groupby and Arrest Data": [[33, "Groupby-and-Arrest-Data"]], "Learning the Group Structure of Your Data": [[33, "Learning-the-Group-Structure-of-Your-Data"]], "Testing Your Assumptions": [[33, "Testing-Your-Assumptions"]], "Acme Corportation Solution": [[34, "Acme-Corportation-Solution"]], "Fixed Effects: Indicator Variables for Groups": [[38, "Fixed-Effects:-Indicator-Variables-for-Groups"]], "Implementing Fixed Effects": [[38, "Implementing-Fixed-Effects"]], "Clustering": [[38, "Clustering"]], "Computationally Efficient Fixed Effects": [[38, "Computationally-Efficient-Fixed-Effects"]], "Fixed Effects and Causal Inference": [[39, "Fixed-Effects-and-Causal-Inference"]], "Fixed Effects and Hierarchical Models": [[40, "Fixed-Effects-and-Hierarchical-Models"]], "Fixed Effects & Clustered Standard Errors": [[40, "Fixed-Effects-&-Clustered-Standard-Errors"]], "Things To Remember:": [[40, "Things-To-Remember:"]], "How to Read (Academic Edition)": [[41, "How-to-Read-(Academic-Edition)"]], "Read Actively": [[41, "Read-Actively"]], "Be Patient with Examples From Different Domains": [[41, "Be-Patient-with-Examples-From-Different-Domains"]], "Do NOT Summarize with LLMs": [[41, "Do-NOT-Summarize-with-LLMs"]], "Welcome to Solving Problems with Data!": [[42, "welcome-to-solving-problems-with-data"]], "Pre-Requisites for Non-MIDS Students": [[42, "pre-requisites-for-non-mids-students"]], "Syllabus": [[42, "syllabus"]], "Internal and External Validity": [[43, "Internal-and-External-Validity"]], "Internal Validity": [[43, "Internal-Validity"]], "External Validity": [[43, "External-Validity"]], "External Validity Considerations": [[43, "External-Validity-Considerations"]], "Trade-Offs Between Internal and External Validity": [[43, "Trade-Offs-Between-Internal-and-External-Validity"]], "Conclusion": [[43, "Conclusion"], [55, "Conclusion"]], "Using and Interpreting Indicator (Dummy) Variables": [[44, "Using-and-Interpreting-Indicator-(Dummy)-Variables"]], "What are indicator variables?": [[44, "What-are-indicator-variables?"]], "The ONE thing that you must understand when using indicator variables:": [[44, "The-ONE-thing-that-you-must-understand-when-using-indicator-variables:"]], "Indicator Variables with Two Category Variable": [[44, "Indicator-Variables-with-Two-Category-Variable"]], "Indicator Variables for variables with more than 2 categories": [[44, "Indicator-Variables-for-variables-with-more-than-2-categories"]], "Interactions with Constant Variables": [[44, "Interactions-with-Constant-Variables"]], "Keeping Things Straight": [[44, "Keeping-Things-Straight"]], "The * operator": [[44, "The-*-operator"]], "Interactions Between Multiple Indicator Variables": [[44, "Interactions-Between-Multiple-Indicator-Variables"]], "Fixed Effects": [[44, "Fixed-Effects"]], "Limitations of Experiments (and Average Treatment Effects)": [[45, "Limitations-of-Experiments-(and-Average-Treatment-Effects)"]], "Who\u2019s Average?": [[45, "Who's-Average?"]], "The Fine Print of ATE": [[45, "The-Fine-Print-of-ATE"]], "SUTVA": [[45, "SUTVA"]], "How Matching is Done (A Summary)": [[46, "How-Matching-is-Done-(A-Summary)"]], "Pruning Your Data": [[46, "Pruning-Your-Data"]], "Measuring Similarity": [[46, "Measuring-Similarity"]], "When Can / Should I Use Matching?": [[46, "When-Can-/-Should-I-Use-Matching?"]], "Checking Balance": [[46, "Checking-Balance"]], "Analyze!": [[46, "Analyze!"]], "Specific Models": [[46, "Specific-Models"]], "Matching": [[47, "Matching"]], "Model Dependency": [[47, "Model-Dependency"]], "Model Dependency, Causal Inference, and Imbalance": [[47, "Model-Dependency,-Causal-Inference,-and-Imbalance"]], "Matching: Better thought of as pruning": [[47, "Matching:-Better-thought-of-as-pruning"]], "The Cost of Matching": [[47, "The-Cost-of-Matching"]], "Causal Inference Assumptions": [[47, "Causal-Inference-Assumptions"]], "In Summary": [[47, "In-Summary"]], "Converting Stakeholder Prompts into Questions": [[48, "Converting-Stakeholder-Prompts-into-Questions"]], "What\u2019s The Real Problem / Need": [[48, "What's-The-Real-Problem-/-Need"]], "What Questions Do I Need To Ask?": [[48, "What-Questions-Do-I-Need-To-Ask?"]], "Make Your Questions Specific and Actionable": [[48, "Make-Your-Questions-Specific-and-Actionable"]], "Many Questions?": [[48, "Many-Questions?"]], "What to Read Next": [[48, "What-to-Read-Next"]], "Nick\u2019s Things to Think About Before A/B Testing": [[49, "Nick's-Things-to-Think-About-Before-A/B-Testing"]], "Step 0: Are You Sure You Should Do This?": [[49, "Step-0:-Are-You-Sure-You-Should-Do-This?"]], "Step 1: Define Your Goals": [[49, "Step-1:-Define-Your-Goals"]], "Step 2: Plan Implementation": [[49, "Step-2:-Plan-Implementation"]], "Step 3: Run!": [[49, "Step-3:-Run!"]], "Step 4: Check Internal Validity": [[49, "Step-4:-Check-Internal-Validity"]], "Step 5: Interpret Results": [[49, "Step-5:-Interpret-Results"]], "Step 6: Consider External Validity": [[49, "Step-6:-Consider-External-Validity"]], "Reading Reflections": [[52, "Reading-Reflections"]], "Looking for the solutions?": [[54, "Looking-for-the-solutions?"]], "OK, if you are still interested in looking at the solutions\u2026": [[54, "OK,-if-you-are-still-interested-in-looking-at-the-solutions..."]], "Taxonomy of Questions": [[55, "Taxonomy-of-Questions"]], "Positive versus Normative Questions": [[55, "Positive-versus-Normative-Questions"]], "Descriptive Questions": [[55, "Descriptive-Questions"]], "Descriptive Example 1: Nope, This Time Isn\u2019t Different": [[55, "Descriptive-Example-1:-Nope,-This-Time-Isn't-Different"]], "Descriptive Example 3: Disease Surveillance": [[55, "Descriptive-Example-3:-Disease-Surveillance"]], "Descriptive Example 4: Global Warming": [[55, "Descriptive-Example-4:-Global-Warming"]], "Descriptive Questions and EDA": [[55, "Descriptive-Questions-and-EDA"]], "Last Thoughts": [[55, "Last-Thoughts"]], "Causal Questions and Prediction-with-Manipulation": [[55, "Causal-Questions-and-Prediction-with-Manipulation"]], "Why Causal Inference is Hard": [[55, "Why-Causal-Inference-is-Hard"]], "Causal Inference, Manipulations, and Prediction": [[55, "Causal-Inference,-Manipulations,-and-Prediction"]], "Classification Questions / Prediction-Without-Manipulation": [[55, "Classification-Questions-/-Prediction-Without-Manipulation"]], "\u201cWithout Manipulation\u201d?": [[55, "%22Without-Manipulation%22?"]], "Using Exploratory Questions to Better Understanding Your Problem": [[56, "Using-Exploratory-Questions-to-Better-Understanding-Your-Problem"]], "Your First Assignment": [[56, "Your-First-Assignment"]], "Part 2: Choosing a Problem": [[56, "Part-2:-Choosing-a-Problem"]], "Part 3: Specifying and Answering Questions": [[56, "Part-3:-Specifying-and-Answering-Questions"]], "Data": [[56, "Data"]], "Writing Data Science Report for Non-Technical Audiences": [[57, "Writing-Data-Science-Report-for-Non-Technical-Audiences"]], "Identify your audience": [[57, "Identify-your-audience"]], "Introduction / Executive Summary": [[57, "Introduction-/-Executive-Summary"]], "Your Design": [[57, "Your-Design"]], "Your Results": [[57, "Your-Results"]], "Conclusions": [[57, "Conclusions"]], "Appendix": [[57, "Appendix"]], "Resume Experiment Analysis": [[30, "Resume-Experiment-Analysis"], [37, "Resume-Experiment-Analysis"]], "Checking for Balance": [[30, "Checking-for-Balance"], [37, "Checking-for-Balance"]], "Estimating Effect of Race": [[30, "Estimating-Effect-of-Race"], [37, "Estimating-Effect-of-Race"]], "Estimating Heterogeneous Effects": [[30, "Estimating-Heterogeneous-Effects"], [37, "Estimating-Heterogeneous-Effects"]], "What Did We Just Measure?": [[30, "What-Did-We-Just-Measure?"], [37, "What-Did-We-Just-Measure?"]], "A/B Testing the Udacity Website": [[11, "A/B-Testing-the-Udacity-Website"]], "Udacity\u2019s Test": [[11, "Udacity's-Test"]], "Import the Data": [[11, "Import-the-Data"]], "Pick your measures": [[11, "Pick-your-measures"]], "Validating The Data": [[11, "Validating-The-Data"]], "Estimating the Effect of Experiment": [[11, "Estimating-the-Effect-of-Experiment"]], "Where To Find Public Data": [[50, "Where-To-Find-Public-Data"]], "Good Starting Points": [[50, "Good-Starting-Points"]], "Other Interesting Data Sources": [[50, "Other-Interesting-Data-Sources"]], "Data with a Spatial/GIS Component": [[50, "Data-with-a-Spatial/GIS-Component"]], "Public Satellite Data": [[50, "Public-Satellite-Data"]], "Other Lists of Data That Are Great": [[50, "Other-Lists-of-Data-That-Are-Great"]], "Solutions": [[53, "Solutions"]], "Power Calculations and Experiment Planning": [[28, "Power-Calculations-and-Experiment-Planning"]], "The Context": [[28, "The-Context"]], "Extra Credit Extension": [[28, "Extra-Credit-Extension"]], "Footnotes": [[28, "Footnotes"]], "Class Schedule": [[4, "class-schedule"]]}, "indexentries": {}}) \ No newline at end of file diff --git a/source/class_schedule.csv b/source/class_schedule.csv index 12f9046..7bb5ec6 100644 --- a/source/class_schedule.csv +++ b/source/class_schedule.csv @@ -65,9 +65,11 @@ Experiments: External Validity (In Practice): - `Don't stop experiments early! `_ -",- `Power Ex `_ +",`Power Ex `_ "Thrs, Mar 21",Review Day,AB Testing Review, -"Tues, Mar 26",Causal Questions: Experiments,Decision Making Under Uncertainty, +"Tues, Mar 26",Causal Questions: Experiments,"- Statistical Decision Theory (on Canvas). 550-556 + +(This is same as IDS 705 Lecture 8 Reading)", "Thrs, Mar 28",**MIDTERM**,**MIDTERM**, "Tues, Apr 2",Causal Questions: Regression,- Causal Beyond Experiments, "Thrs, Apr 4",Causal Questions: Indicators and Fixed Effects,"- `Fixed Effects (through comparison with hierarchical) `_ diff --git a/source/class_schedule_xlsx.xlsx b/source/class_schedule_xlsx.xlsx index 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