AI and Data in Business
Data Literacy for Business Professionals
This practical course develops directly applicable capability in Data Literacy for Business Professionals. Participants work in depth on Reading Business Data, and Data Quality in Daily Work, and Understanding Business Metrics, then convert the methods into tools and actions suited to their workplace.
Objectives
- Apply the principles and methods of reading business data in a workplace context.
- Apply the principles and methods of data quality in daily work in a workplace context.
- Apply the principles and methods of understanding business metrics in a workplace context.
- Apply the principles and methods of interpreting tables and charts in a workplace context.
- Apply the principles and methods of asking better data questions in a workplace context.
- Apply the principles and methods of communicating data responsibly in a workplace context.
Target audience
- Professionals responsible for the subject area
- Managers and supervisors
- Analysts, coordinators, and specialists
- Project and improvement teams
- Employees preparing for broader responsibilities
Program outline
A clear structure for the learning journey.
Outline points are grouped in one designed block instead of being treated as separate module cards.
01Reading Business Data3 topics
- Data types, units, and business definitions
- Rows, fields, dimensions, and measures
- Recognizing missing context and misleading totals
02Data Quality in Daily Work3 topics
- Accuracy, completeness, consistency, and timeliness
- Duplicate, missing, and invalid records
- Tracing quality problems to collection processes
03Understanding Business Metrics3 topics
- Counts, rates, ratios, averages, and distributions
- Denominators, baselines, targets, and benchmarks
- Leading, lagging, and diagnostic indicators
04Interpreting Tables and Charts3 topics
- Comparisons, trends, variation, and outliers
- Chart scales, axes, and visual distortion
- Separating correlation from causal conclusions
05Asking Better Data Questions3 topics
- Turning business concerns into answerable questions
- Selecting relevant evidence and comparison groups
- Testing assumptions and alternative explanations
06Communicating Data Responsibly3 topics
- Explaining findings, limitations, and uncertainty
- Matching detail to decision-maker needs
- Building a data-informed recommendation
Materials provided
- ○ Course-specific presentation slides
- ○ Practical exercises and facilitated activities
- ○ Course-specific worksheets, checklists, and templates
- ○ Applied workplace case studies
- ○ 4D Certificate of Completion issued by 4D Training & Consultancy
- ○ Post-course support for implementation questions
Training Options
Programs can be delivered in-house, online, or in a blended format depending on your team's schedule, location, and learning objectives. When an external certificate or exam is included, certification rules and fees remain under the relevant awarding body's policies, while 4D provides the training and preparation support.
Why choose 4D
4D adapts this program to the participant group and workplace context. Delivery combines structured explanation with course-specific exercises, realistic cases, working tools, and an action-planning component so participants can transfer the learning to their roles.
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