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Acerca de

Argusa Data School
our catalog

people-office-analyzing-checking-finance-graphs (1).jpg

For Managers
(1/2 day)

Data

  1. Why is it important?

  2. How is it relevant to real life?

Enterprise Data Strategy

  1. Data Governance, Quality, Security

  2. Data Architecture and modelling (transactional, analytical)

  3. Data platforms

  4. Data “Roles” (tasks and competences when working with data)

  5. Working on canvas

Data Visualisation

  1. Why Visualize and which Visualization to use?

  2. Visualization and Dashboarding best practices

  3. Working on canvas

Data Science / ML / AI

  1. Demystification

  2. Why? When? How?

  3. Best practices

  4. Working on canvas

Each section has 20 additional minutes for working on a canvas with a personal use case.

people-office-analyzing-checking-finance-graphs.jpg

For Business Analysts (1 day)

Data

  1. Why is it important?

  2. How is it relevant to real life?

Enterprise Data Strategy

  1. Data Governance, Quality, Security

  2. Data platforms

  3. Data “Roles” (tasks and competences when working with data)

 

Data Architecture and modelling

  1. Data Architecture and modelling (introduction)

  2. Data Modelling for analytics

  3. Data Historization and Data Lineage

Data Visualisation

  1. Why Visualize and which Visualization to use?

  2. What is dashboarding

  3. Visualization and Dashboarding best practices

Data Science / ML / AI

  1. Demystification

  2. Why? When? How?

  3. Best practices

Each section has 20 additional minutes for working on a canvas with a personal use case.

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