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Data Literacy Foundations

H41HKS

Table of Contents

Table of Contents

    Course ID

    H41HKS

    Duration

    2 days

    Format

    ILT/VILT

    Overview

    In our data-driven world, organizations often struggle with data literacy, which is crucial for interpreting data and making informed decisions. This course teaches you how to read, interpret, and analyze data correctly through a combination of practical examples and exercises. By developing these skills, you can distinguish information from manipulation and make faster, better decisions for your organization.


    Data Literacy Foundations also provides the knowledge you need to pass the EDF Data Literacy certification exam, administered by the Effective Data Foundation (EDF). It provides exam prep guidance and highlights the professional benefits of obtaining the EDF Data Literacy certification.


    The Effective Data Foundation (EDF) is a non-profit consortium of professionals and institutes specializing in data and data-related subjects that aims to promote the effective use of data.

    Course ID

    H41HKS

    Duration

    2 days

    Format

    ILT/VILT

    Audience

    This course is designed for professionals of various backgrounds and skill levels who have not yet fully mastered the skill of interpreting data into valuable information. It is especially useful for managers or those working in modern organizations that aim to be data-driven, such as:

    • Data enthusiasts seeking to develop basic data literacy skills for future career opportunities
    • Policymakers and administrators in the government and public sector who need to make informed decisions based on data
    • Government employees working with public datasets for analysis and reporting
    • Healthcare professionals interested in leveraging data to improve patient care and operational efficiency
    • Nonprofit professionals who want to use data for program evaluation, impact assessment, and fundraising
    • Entry-level IT professionals responsible for managing and maintaining data infrastructures
    • Entry-level database administrators seeking to enhance their data literacy and understand the broader context of data utilization within their organization
    • Trainers and educators aiming to integrate data literacy into their curriculum to prepare trainees for a data-driven world

    Objectives

    After completing this course, you should be able to:

    • Unlock the value hidden within your data, transforming it from mere numbers into strategic assets for your organization
    • Understand how to interpret data correctly, avoiding common pitfalls and ensuring accurate analysis
    • Use techniques to improve and maintain the quality of your data, vital for credible analysis
    • Perform in-depth data analysis, preventing deception and ensuring reliability
    • Persuade others using data-based arguments, transitioning seamlessly from analysis to compelling data-driven narratives
    • Demonstrate the principles of good data storytelling, applying them to real world scenarios and conveying your insights effectively

    Certifications and related exams

    This course prepares you for the EDF Data Literacy certification exam.

    Divider

    Course outline

    Module 1: Reading Data

    • What is data?
    • Summarize data
    • Consume data
    • Check your data

    Module 2: Working with Data

    • Creating data
    • Data quality
    • Acquiring and cleaning
    • Managing

    Module 3: Analyzing Data

    • Expectation
    • Thinking shortcuts
    • Types of analysis
    • Analytical skills

    Module 4: Arguing with Data

    • Explore to explain
    • Storytelling

    Practice exam info


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