Data Literacy Fundamentals

Helping everyone speak the language of data!

In an increasingly data-driven world, the ability to make data-informed and evidence-based decisions has never been more critical in our work lives and personal lives.

Learn to ask the right questions of your data, interpret your findings and take informed action.

Why It Matters

For Individuals

Data Literacy - the ability to read, work with, analyze, and communicate with data - is on the way to becoming a core competency in the future. Individuals who can increase the overall data literacy of their organizations will find greater success on the job market or when seeking promotions.

For organizations

Employee Data Literacy is key to building and maintaining a data-driven company culture. Data literate employees lead to data fluent teams that demonstrate an enthusiastic appreciation for data and use it as a common language to collaborate, drive results, and make better business decisions.

Duration: 1 day

Target Audience:

  • This training is suited for anybody who wants to learn the fundamentals of how data is used; to build confidence in interpreting and using data.

Learning Outcome

By the end of the training, participants will have the ability to:

  • Articulate a problem in a way that can potentially be solved using data
  • Understand the data sources used
  • Check the adequacy and fitness of data involved
  • Interpret the results of an analysis and extract insights
  • Make decisions based on the insights
  • Explain the value generated by the use case

Course Format:

  • In-person, Instructor-Led, interactive lecture and discussion
  • Introduction:
    • Why do we need Data Literacy?
    • Data Literacy and company culture
    • Data-driven Decision Making
    • Benefits of Data Literacy
  • Understanding Data:
    • Data Definition
    • Data sources
    • Types of Data:
      - Qualitative vs. Quantitative Data, Structured vs. Unstructured Data
      - Data at Rest vs. Data in Motion, Transactional vs. Master Data
      - Big Data
    • Storing Data:
      - Database, Data Warehouse, Data Marts
      - The ETL Process, Apache Hadoop, Data Lake
      - Cloud Systems, Edge Computing, Batch vs. Stream Processing
      - Graph Database
    • Aggregations
    • Distributions
  • Basic Analytical Concepts:
    • Signal and Noise
    • Correlation and Causation
    • Confidence Intervals
  • Decision making analytic techniques:
    • Analysis vs. Analytics
    • Statistics
    • Business Intelligence (BI)
    • Artificial Intelligence (AI)
    • Machine Learning (ML)
  • Data Quality, Ethics & Governance
  • Basic data visualization and charts
  • Group Discussion: AI and Data Analytics in action

No specific technical knowledge required

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Public and On-Site Classes

We offer both public workshops, in which anyone can enroll, and on-site workshops, so you can maximize convenience and minimize travel costs for your employees.

If you have three or more participants, a private group course may be what you need.

When booking a private class you can ensure that only your organization's team members are in the class. This provides freedom to ask specific questions around your usage scenarios and to focus on specific content as requested.

We also offer significant discounts for larger groups.