top of page

Data Literacy Training

This training is part of the development of data literacy in an organization, starting with an incrementation of data culture within the company. Data literacy is the ability to read, write and communicate data in context, including the ability to understand the source and structure of data, the analytical methods and techniques used, and the ability to use, apply and generate descriptive value


Data Literacy Training

Training aims

  • Define the data, their purposes and how they are actually collected.

  • Understand the practicalities of working with data, storing it, and managing it.

  • Articulate a problem that can potentially be solved using data

  • Check the suitability and adequacy of the data involved

  • Interpret the results of an analysis and extract information

  • Make decisions based on information

  • Explain generated value with a use case


Program :


  • Data definition

  • Qualitative vs. Quantitative Data

  • Structured vs. Unstructured Data

  • Data at Rest vs. Data in Motion

  • transaction vs. Master Data

  • bigdata

  • Store Data

  • Database

  • Data Warehouse

Data best practice

  • Analysis vs. Analytic

  • Descriptive statistics

  • Deductive statistics

  • Business Intelligence (BI)

  • Artificial Intelligence (AI)

  • Machine Learning (ML)

  • Supervised teaching

Reading & interpreting data (INSIGHT DISCOVERY)

  • Reading data

  • Data quality assessment

  • Description of data

  • Central tendency measures

  • Spread measures


This training  does not require any prerequisites and is intended for anyone wishing to acquire new skills.

bottom of page