3 – Data Literacy for the Modern Workforce (P:1 C:3)

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About Course

Phase 1 Course 3: AI Roadmap for Corporate Growth

This course transforms “data” from a daunting technical concept into a practical tool for every employee. We will focus on the human element of the data-to-AI pipeline.

 

Benefits of Attending:

Improved decision-making, reduced manual data entry errors, and the ability to leverage AI tools (like LLMs or automated spreadsheets) more effectively.

 

Expected Outcomes:

Participants will move from being passive data “consumers” to active data “stewards,” capable of maintaining high-quality information environments.

    What Will You Learn?

    • Data Hygiene Literacy: Identifying the "5 Sins of Bad Data" (Duplicates, Inconsistencies, Missing Values, Formatting Errors, and Outdated Info) and how to fix them manually or with AI help.
    • The "AI-Ready" Standard: Learning the specific criteria that make a dataset usable for machine learning or large language models (LLMs).
    • Taxonomy and Metadata: Understanding how to label and categorize files so that AI "retrieval" systems (like a company's internal AI search) can actually find the right information.
    • Data Ethics for Everyone: Recognizing the "Human in the Loop" responsibility—ensuring AI output is checked for bias or data leakage before it’s used in business decisions.
    • Prompting for Data Transformation: Using AI tools as "interns" to help reformat, summarize, or clean messy data sets safely.

    Course Content

    Module 1: The Data-AI Connection

    • The Data-AI Connection
      04:59
    • Module 1 Quiz

    Module 2: Data Anatomy

    Module 3: The Art of Data Cleaning

    Module 4: Logical Organization & Taxonomy

    Module 5: Data Ethics & Privacy

    Module 6: Communicating with Data

    Module 7: Prompt Engineering for Data Tasks

    Module 8: Building a Data-First Culture

    Conclusions and Summary

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