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Data 144: Foundations of Data Science

Lecture Recordings

  • Lectures: Tuesday and Thursday 1:30 PM - 2:45 PM via Zoom
  • Labs: Friday 3:10 PM - 5:10 PM in Sanders Physics room 309 or via Zoom
  • Jason's Office Hours: Tuesday and Thursday 3:00 PM - 5:00 PM (or by appointment)
  • Monika's Office Hours: Tuesday and Wednesday 10:00 AM - 11:30 AM (or by appointment)
  • Coaching Hours see course information page for schedule

Weekly Check-ins

Spring 2021 Schedule

Date Topic Demo Reading Assignment
Thu 2/18 T0 Introduction
T1 Cause and Effect
T00-Introduction Ch 1
Ch 2
Fri 2/19 Lab 01: Expressions Ch 3
Tue 2/23 T2 Tables T02-PythonExpressions
T02-Names
T02-CallExpressions
T02-Tables
Ch 3
Thu 2/25 T3 Data Types T03-ReviewTables
T03-Numbers
T03-Strings
T03-Types
T03-Arrays
Ch 4 Homework 01
Fri 2/26 Lab 02: Table Operations
Tue 3/02 T4 Building Tables T04-Ranges
T04-MinardExample
T04-TableMethods
Ch 5
Thu 3/04 T5 Census and Visualization T05-NBASalaries
T05-Census
T05-Visualization
Ch 6
Ch 7
Homework 02
Fri 3/05 Lab 03: Data Types and Arrays
Tue 3/09 T6 Histograms T06-CategoricalDistribution
T06-Binning
T06-Histograms
T06-Height
Ch 7
Thu 3/11 T7 Functions T07-DefiningFunctions
T07-Apply
T07-Prediction
Ch 8 Homework 03
Fri 3/12 Lab 04: Functions and Visualizations
Tue 3/16 T8 Group and Pivot T08-Group
T08-CrossClassification
T08-Pivot
Ch 8
Thu 3/18 T9 Joins and Maps
T10 Comparisons and Conditionals
T09-joins
T09-maps
T10-comparison
T10-conditionals
Ch 8 Homework 04
Individual Project 1
Fri 3/19 Lab 05: Prediction, Pivot, Group, and Joins
Tue 3/23 T11 Chance T11-RandomSelection
T11-AppendingArrays
T11-ControlStatements
T11-MontyHall
Ch 9
Thu 3/25 T12 Sampling T12-Sampling
T12-Distribution
T12-LargeRandomSamples
T12-SimulatingStatistics
Ch 10
Fri 3/26 Lab 06: Randomization
Tue 3/30 No Class: Break
Thu 4/01 No Class: Break
Fri 4/02 No Class: Break
Tue 4/06 T13 Assessing Models T13-JurySelection
T13-MendelModel
Ch 11
Thu 4/08 T14 Comparing Distributions T14-AlamedaJury
T14-DistanceBetweenDistributions
T14-TotalVariationDifference
Ch 11 Homework 05
Fri 4/09 Lab 07: Sampling
Tue 4/13 T15 Decisions and Uncertainty T15-GenderDiscrimination Ch 11
Thu 4/15 T16 A / B Testing T16-ComparingTwoSamples
T16-SimulatingUnderNull
Ch 12 Final Project
Homework 06
Fri 4/16 Lab 08: Simulation
Tue 4/20 T17 Causality
T18 Estimation and Bootstrap
T17-RandomizedControlledExperiment
T17-TestingTheHypothesis
T18-Percentiles
T18-VariabilityOfEstimate
T18-Bootstrap
Ch 13
Thu 4/22 T19 Confidence Intervals T19-Bootstrap-confidence-intervals
T19-Bootstrap-case-study
Ch 13.3
Ch 13.4
Fri 4/23 Lab 09: A/B Testing
Tue 4/27 T20 Center and Spread T20-Mean
T20-StandardDeviation
T20-StandardUnits
Ch 14
Ch 14.1
Ch 14.2
Thu 4/29 T21 The Normal Curve and CLT
T22 Distribution of the Sample Average
T21-CentralLimitTheorem
T22-DistributionOfSampleAverage
T22-VariabilityOfSampleAverage
T22-StandardDeviationOfSampleAverage
Ch 14.3
Ch 14.4
Ch 14.5
Fri 4/30 Lab 10: Bootstrap Individual Project 2
Tue 5/04 T23 Choosing A Sample Size T23-SD01Population Ch 15
Thu 5/06 T24 Prediction and Correlation T24-Association
T24-CorrelationCoefficient
T24-CorrelationCoefficientWatchout
Ch 15
Fri 5/07 Lab 11: Central Limit Theorem
Tue 5/11 T25 Linear Regression T25-SlopeIntercept Ch 15
Thu 5/13 T26 Least Squares T26-errors-in-estimation
T26-minimizing-rmse
Ch 15.3
Ch 15.4
Fri 5/14 Lab 12: Correlation
Tue 5/18 T27 Regression Diagnostics T27-residuals
T27-residuals-average
T27-clustering-measure
T27-variance-decomposition
Ch 15.4
Ch 15.5
Ch 15.6
Thu 5/20 T28 Regression Inference T28-TrueLineRegression
T28-RegressionPrediction
T28-PredictionCI
T28-SlopeInference
Ch 16
Fri 5/21 Lab 13: Regression Line