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Data 144: Foundations of Data Science

Lecture Recordings

Spring 2020 Schedule

Date Topic Demo Reading Assignment
Thu 1/23 Introduction, T1-Cause and Effect T1-Demo Ch 1
Ch 2
Lab 01: Expressions
Tue 1/28 T2-Tables T2-Demo Ch 2
Ch 3
Homework 01
Thu 1/30 T3-Data Types T3-Demo Ch 4
Ch 5
Lab 02: Table Operations
Tue 2/4 T4-Building Tables T4-Demo Ch 4
Ch 5
Ch 6
Homework 02
Thu 2/6 T5-Census and Visualization T5-Demo Ch 6
Ch 7
Ch 7.1
Lab 03: Data Types and Arrays
Tue 2/11 T6-Histograms T6-Demo Ch 7.2
Ch 7.3
Homework 03
Thu 2/13 T7-Functions T7-Demo Ch 8
Ch 8.1
Lab 04: Functions and Visualizations
Tue 2/18 Quiz 1 Homework 04
Thu 2/20 T8-Prediction, Group, and Pivot T8-Prediction
T8-Group and Pivot
Ch 8.2
Ch 8.3
Ch 8.4
Lab 05: Applying Functions and External Datasets
Tue 2/25 T9-Joins and Maps
T10-Comparisons and Conditionals
T9-joins
T9-maps
T10-comparison
T10-conditionals
Ch 8.5
Ch 9
Ch 9.1
Homework 05
Thu 2/27 T11-Chance T11-Demo Ch 9.2
Ch 9.3
Ch 9.4
Ch 9.5
Lab 06: Randomization
Tue 3/3 T12-Sampling T12-sampling-demo
T12-distribution
T12-random-samples
T12-simulating-statistics
Ch 10
Ch 10.1
Ch 10.2
Ch 10.3
Homework 06
Thu 3/5 T13-Assessing Models T13-jury-selection
T13-Mendel-model
Ch 11
Ch 11.1
Lab 07: Sampling
Tue 3/24 T14-Comparing Distributions T14-Alameda-jury
T14-distance-between-distributions
T14-total-variantion-difference
Ch 11.2 Homework 07
Thu 3/26 T15-Decisions and Uncertainty T15-gender-discrimination Ch 11.3 Lab 08: Assessing Models
Tue 3/31 T16-A/B testing T16-comparing-two-samples
T16-simulating-under-the-null
Ch 12.1
Thu 4/2 T17-Causality T17-randomized-controlled-experiment
T17-testing-the-hypothesis
Ch 12.3 Lab 09: A/B Testing
Tue 4/7 T18-Estimation and Bootstrap T18-percentiles
T18-variability-of-estimate
T18-Bootstrap
Ch 13.1
Ch 13.2
Individual Project
Thu 4/9 T19-Confidence Intervals T19-Bootstrap-confidence-intervals
T19-Bootstrap-case-study
Ch 13.3
Ch 13.4
Lab 10: Bootstrap
LT01-Group_and_Pivot
Tue 4/14 T20-Center and Spread T20-mean
T20-standard-deviation
T20-Chebyshev-inequality
T20-standard-units
Ch 14.1
Ch 14.2
Final Project
Thu 4/16 T21-The Normal Curve and CLT
T22-Distribution of the Sample Average
T21-central-limit-theorem
T22-distribution-of-sample-average
T22-variability-of-sample-average
T22-standard-deviation-of-sample-average
Ch 14.3
Ch 14.4
Ch 14.5
Lab 11: Central Limit Theorem
Tue 4/21 T23-Choosing a Sample Size T23-SD-of-0-1-population Ch 14.6
Thu 4/23 T24-Prediction and Correlation T24-association
T24-correlation-coefficient
T24-correlation-coefficient-watchout
Ch 15
Ch 15.1
Lab 12: Correlation
Tue 4/28 T25-Linear Regression
T26-Least Squares
T25-slope-intercept
T26-errors-in-estimation
T26-minimizing-rmse
Ch 15.2
Ch 15.3
Thu 4/30 T27-Regression Diagnostics T27-residuals
T27-residuals-average
T27-clustering-measure
T27-variance-decomposition
Ch 15.4
Ch 15.5
Ch 15.6
Lab 13: Regression Line
Tue 5/5 T28-Regression Inference T28-true-line-regression-model
T28-regression-prediction
T28-prediction-CI
T28-slope-inference
Ch 16.1
Ch 16.2
Ch 16.3