Course Introduction
This Data Analytics for Managerial Decision Making training course will illustrate how data analytics can enhance management decisions by supporting strategic initiatives, informing policy, and guiding operational choices.
The training course focuses on practical applications, accurate interpretation of findings, and integrating quantitative reasoning into decision-making.
Participants will gain confidence in using evidence-based information to make informed decisions, ultimately improving their management practices and strategic outcomes.
This training course will feature:
- Discussions on applications of data analytics in management
- The importance of data in data analytics
- Applying data analytical methods through worked examples
- Focusing on management interpretation of statistical evidence
- How to integrate statistical thinking into the work domain
Training Objectives
By the end of this training course, participants will be able to:
- Appreciate data analytics in a decision support role
- Explain the scope and structure of data analytics
- Apply a cross-section of useful data analytics
- Interpret meaningfully and critically assess statistical evidence
- Identify relevant applications of data analytics in practice
Training Methodology
This training course will utilise a variety of proven adult learning techniques to ensure maximum understanding, comprehension and retention of the information presented.
The daily workshops will be highly interactive and participative. This involves regular discussion of applications as well as hands-on exposure to data analytics techniques using Microsoft Excel.
Delegates are strongly encouraged to bring and analyse data from their own work domain. This adds greater relevancy to the content.
Emphasis is also placed on the valid interpretation of statistical evidence in a management context.
Who should Attend?
This training course is suitable to a wide range of professionals but will greatly benefit:
- Professionals in management support roles
- Analysts who typically encounter data / analytical information regularly in their work environment
- Those who seek to derive greater decision making value from data analytics
