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MICRO-COURSE

Analytics, Data Science & Data Governance

Analytics, Data Science & Data Governance: 14 short lessons, one for each concept. Exploratory analysis, business intelligence, dashboards, dimensional modeling, data warehouses, data lakes, lakehouses, semantic layers, data catalogs, lineage, data quality, ownership, retention, and master data man

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01 / WATCH

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02 / UNDERSTAND

Start with the topic guide.

Exploratory analysis, business intelligence, dashboards, dimensional modeling, data warehouses, data lakes, lakehouses, semantic layers, data catalogs, lineage, data quality, ownership, retention, and master data management.

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01

Concept scope

Analytics, Data Science & Data Governance: 14 short lessons, one for each concept. Exploratory analysis, business intelligence, dashboards, dimensional modeling, data warehouses, data lakes, lakehouses, semantic layers, data catalogs, lineage, data quality, ownership, retention, and master data man

03 / TRY IT

Prepare a focused example

  1. Choose one question about Analytics, Data Science & Data Governance that you want to answer.
  2. Write down a small example, its inputs or starting point, and the result you expect.
  3. Explain your reasoning and note what you would like reviewed in a live or 1:1 session.
Keep your work

A short example, reasoning and an open question

Check your understanding

  • Explain the concept in your own words and identify where it fits in the subject.
  • Show one small example, the expected result and the reasoning behind it.
  • Record one limitation or edge case and a question to discuss with a mentor.
04 / LEARN WITH HELP

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