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Unit 7: Data Science & Big Data (Advisory Council Alignment)

Welcome to the Data Science & Big Data Supplemental Unit! In today's digital economy, data is the new oil. From streaming recommendations on Netflix to financial fraud detection, businesses rely on data-driven insights. In this unit, you will step into the shoes of a data analyst, learning how to write Python code to load, process, analyze, and visualize raw datasets. These skills are vital across every industry sector, giving you a major edge in high-paying tech and business roles.

Learning goals

  • I can describe the lifecycle of a data science project, including collection, cleaning, and analysis.
  • I can write Python scripts using lists and dictionaries to filter and aggregate tabular data.
  • I can create professional data visualizations (bar, line, and scatter charts) to communicate insights.

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KDE student outcomes

Unit-level planned alignment · Course 110201

View aligned outcomes (4)
  • #3 Design and develop programs using operators and assignments.
  • #6 Design and develop programs that use simple data structures.
  • #9 Design and develop programs that implement file processing.
  • #13 Evaluate and critique the effectiveness and efficiency of code written.

Alignment from Master Lesson Plans v3.5. These are instructional targets; completing a resource does not by itself establish mastery.