Course title

Explorations in Data Science


Algebra I

Course 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
      • If-then statements
    • Simulation
    • Variability
    • Probability
  • Theoretical and Experimental Probability
  • Conditional Probability
  • Pros and cons of different ways of data collecting
  • Collecting categorical data
      • Two-way 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 States

School state


School city


School / district Address

4502 N. Central Ave

School zip code


Requested competency code


Date submitted



Approved competency code

  • MTH3
  • 4 years of Math

Approved date

Online / Virtual