Course title
Explorations in Data SciencePrerequisite
Algebra ICourse description
We would like to offer Explorations in Data Science as an alternative to Algebra II or a 4th credit math course.
Explorations in Data Science will prepare students to have a better preparation for advanced courses in statistics as well as to prepare for careers that use data which is becoming more prevalent in our data rich society. Topics will include:
 What are variability; data; and models?
 Data ethics
 Data science inquiry: asking questions of data
 Univariate; bivariate and multivariate data
 Creating visual representations
 What is the story I can tell from this data?
 Data cleaning
 Using measures of center and spread to model data
 Distributions and normal distributions
 Data representations
 Bias
 Data collection and cleaning
 Normalization and weighting of data
 Forming mathematical models
 Sensitivity analysis
 Writing reports and communicating findings
 Sampling and variability
 Probabilistic thinking
 Linear regression and bivariate data
 Using probability to analyze the fit of a regression
 Make connections between the trend and the context to make predictions
 Spurious correlations; confounding and mediating variables and data ethics
 Evaluating claims: spurious correlation vs causality
 Algorithmic Thinking
 Basics of Programming
 Variables
 Loops
 Ifthen statements
 Simulation
 Variability
 Probability
 Theoretical and Experimental Probability
 Conditional Probability
 Pros and cons of different ways of data collecting
 Collecting categorical data


 Twoway tables
 Foundations in Linear Algebra: Working in higher dimensional spaces
 Introduction to clustering

 Probability

 Predictive modeling
 Machine learning
 Basic programming
 Linear Algebra
 Conditional Probability
School country
United StatesSchool state
ArizonaSchool city
PhoenixSchool / district Address
4502 N. Central AveSchool zip code
85012Requested competency code
MathDate submitted
Approved
YesApproved competency code
 MTH3
 4 years of Math