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  1. Programs
  3. Data Literacy: Data to Insights

Data Literacy: Data to Insights

Microsoft

Badge

Become a contributor for free to openly demonstrate student outcomes, industry alignment & eligibility criteria.

Understanding data types, reading charts, spotting trends, and making data-informed decisions. Free Microsoft badge. No tech background needed.

Format

Online

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Program Pathways

Credentials this program stacks toward

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Program Details

Detailed information about this program

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Requirements

What you need to earn this credential

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Financial Aid

Eligible funding programs

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Scholarships

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Locations

Where this program is offered

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Related Programs

Programs related to this one

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Skills & Competencies

Skills developed through this program

  • Understanding data types
  • spotting trends
  • making data-informed decisions
  • reading charts
Career Pathways

Occupations this program prepares you for

Auto-populated·from O*NET + BLS
Occupations matched to this program, with median wage, top wage, growth, and openings
SOCOccupationMethodWageGrowthOpenings
Match confidence: medium15-1243.01Data Warehousing Specialiststitle_inference———
What You'll Learn

Key competencies developed through this program

Auto-populated·from NSX Competency Framework

Mastery: emerging (Level 1)(based on Badge)

  • Data warehouse process models — identify and document sourcing, loading, transformation, and extraction steps under direct supervision in a structured enterprise environment.
  • Warehouse data quality — perform basic verification checks on structure and accuracy using predefined validation scripts in a team-supported data environment.
  • Data mapping documentation — assist in mapping data fields between source systems and data warehouses following established templates and guidelines.
  • Data extraction procedures — execute existing ETL scripts from administration or billing systems under senior specialist direction in a production support setting.
  • Warehouse database structures — assist in designing simple schemas by applying foundational relational database principles in a supervised project environment.
  • Data warehouse standards — review and apply existing organizational naming conventions and structural standards when working with warehouse elements.
  • Troubleshooting support — document and escalate data warehouse incidents by following established triage protocols in a helpdesk-supported environment.
  • Programming tasks — modify small, well-defined segments of existing ETL or reporting code using current languages under code-review oversight.
  • Metadata management software — navigate and query metadata repositories to locate data lineage information under guided instruction in a warehouse environment.
  • Technical documentation — read and interpret system specifications, data dictionaries, and warehouse design documents to support assigned task completion.

Some details on this page are auto-populated from public workforce data sources: O*NET (opens in new tab), BLS (opens in new tab), College Scorecard (opens in new tab), DOL Training Provider Results (opens in new tab), NSX (opens in new tab). Provided in partnership with LER.me Career Intelligence.

Student Outcomes

Performance metrics for this program

Completion Rate
Not reported
Placement Rate
Not reported