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Program Series

Fundamentals

Build a shared foundation in digital concepts, SQL, Python, BI, and Tableau before moving into more complex analysis work.

This page presents a public program plan and does not indicate that a cohort is currently open.

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Course Overview

This series organizes the fundamentals explicitly listed in the project brief. It is a planned learning structure, not a currently open cohort.

Who It Is For

  • Data analytics beginners
  • Business professionals who need to work with data tools

Core Business Questions

  • How can business records become analysis-ready data
  • When should a task use SQL, Python, BI, or Tableau

Hands-On Modules

01

Digital and query fundamentals

Understand data structure, metric definitions, and reproducible queries.

Lesson Objectives

  • Digital foundationsDistinguish business objects, events, fields, and metrics.
  • SQL foundationsUse filtering, aggregation, and joins to answer a defined business question.
02

The analytics toolkit

Understand the roles of Python, BI, and Tableau in different tasks.

Lesson Objectives

  • Python and BISelect tools based on data scale, repetition, and delivery format.
  • Tableau L1-L8 and L99 pathMap staged topics across visualization, interaction, and integrated practice.

Planned Tools

  • SQL
  • Python
  • BI
  • Tableau

Intended Learning Outcomes

  • An analysis task brief connecting a business question to a tool choice
  • A reviewable query or visualization exercise

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