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Data Literacy for Business Professionals eLearning

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Professional Credits


ASPE is an IIBA Endorsed Education Provider of business analysis training. Select Project Delivery courses offer IIBA continuing development units (CDU) in accordance with IIBA standards.


Select courses offer Leadership (PDU-L), Strategic (PDU-S) and Technical PMI professional development units that vary according to certification. Technical PDUs are available in the following types: ACP, PBA, PfMP, PMP/PgMP, RMP, and SP.


Data literacy involves understanding what data means, including how to read graphs and charts correctly, draw accurate conclusions from data, and recognize when data is being used in misleading or inappropriate ways. This basically means those who are data literate can work with and understand data.

This 3-hour eLearning will teach business professionals who are lacking foundational data knowledge the terms and concepts they need to know so that they can thrive in today's digital landscape.


In this Data Literacy Training Course, You Will:

  • Review key terms and concepts related to data analysis for business
  • Identify the roles and responsibilities of individuals involved in data
  • Understand how to create a data-driven culture
  • See the value of using data visualization tools
  • Develop strategies that incorporate emerging data tools and technologies
Course Outline

Module 1: Defining Data Analysis

  1. Data Analysis Defined
  2. Why do we analyze data?
  3. Domains of Data Analysis
    • Descriptive Statistics
  4. Data Analysis Steps
  5. Data Analysis Mindset and Skills

Module 2: Who Does Data Analysis?

  1. Data Analysis Roles in Business
    • Champions
    • Professionals
    • Semiprofessionals
    • Amateurs
    • Data Engineers
    • Data Scientists
    • Accountants and Financial Analysts
    • Business Analysts
    • Statisticians
    • Data Visualization Specialists

Module 3: Building a Data-Driven Culture

  1. Data-Driven Decision Making
  2. Why Decisions are Hard
    • Cultural Barriers
    • Cognitive Barriers
  3. Solutions to Barriers
    • Incentives and Accountability
    • Data Based Proof
    • Transparency
    • Ability
    • Actions Tied to Outcomes
  4. How to DECIDE

Module 4: Definitions and Terminologies

  1. Variables
    • Nominal Variables
    • Ordinal Variables
    • Interval Variables
    • Ratio Variables
  2. Central Tendency of Data
    • Mean
    • Median
    • Mode
  3. Probability
    • Probability Uses in Business
    • Probability Terms
    • Frequency Distribution
  4. Variance
    • Measure and Variability
    • Range
    • Quartiles
    • Variance
    • Standard Deviation

Module 5: Data in the Real World

  1. Google Analytics
  2. LMS
  3. CRM
  4. EXCEL Workbook
  5. Using Data to Drive Product Decisions

Module 6: Data Visualization

  1. The Goal of Visualization
  2. Know the User
  3. Stakeholder Cheat Sheets
  4. Common Presentation Missteps
  5. Choosing the Right Format
    • Reports
    • Dashboards
    • Excel
  6. Design Tips
  7. Tool Overview
    • Excel
    • Microsoft Power BI
    • Tableau
    • Google Data Studio

Module 7: The Evolution of Data

  1. Big Data Overview
  2. Artificial Intelligence (AI) Overview
  3. Machine Learning Overview
Who should attend

Business professionals who are lacking foundational data knowledge. Some professions that may find this eLearning beneficial include:

  • Business Analysts
  • Business Leaders/Executives
  • Consultants
  • HR and L&D Specialists
  • Marketing Professionals
  • Project Managers
  • Sales Professionals

Having prior knowledge of common business terminology will make this eLearning more relevant and beneficial. 


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