Data Analysis for Informed Decision Making

Course Line On Demand

Final Exam

Included in course price

• Disclaimer 01:00

  • 1: Disclaimer 01:00

• Module 1: The Basics of Data Analysis and its Practical Applications 13:00

  • 2: Module 1: The Basics of Data Analysis and its Practical Applications 13:00

• Module 2: Probability Distributions 02:00

  • 3: Module 2: Probability Distributions 02:00

• Module 3: Making decisions and the consideration of relevant factors 05:00

  • 4: Module 3: Making decisions and the consideration of relevant factors 05:00

• Module 4: Data Mining 03:00

  • 5: Module 4: Data Mining 03:00

• Module 5: Modelling and optimisation of a given situation 07:00

  • 6: Module 5: Modelling and optimisation of a given situation 07:00

• Assessment 09:00

  • 7: Final exam 09:00

The Data Analysis for Informed Decision Making course consists of five structured modules, followed by an assessment, each addressing a core concept within data analysis and analytical decision-making.

The course begins with the basics of data analysis and its practical applications, introducing key concepts, data types, and analytical approaches. Learners explore how data analysis is used in real-world scenarios to support planning, evaluation, and decision-making.

Probability distributions are then introduced to help learners understand how likelihood, variation, and uncertainty are represented and interpreted within data analysis. This module supports informed judgement by explaining how probability informs risk assessment and outcome prediction.

Making decisions and the consideration of relevant factors focuses on analytical decision-making processes. Learners examine how data analysis supports structured thinking, including the identification of relevant variables, assumptions, constraints, and trade-offs.

Data mining introduces learners to methods used to explore large datasets, identify patterns, and extract useful insights. The focus is on conceptual understanding of data mining techniques rather than technical implementation.

Modelling and optimisation of a given situation explore how data analysis is used to represent real-world problems, test scenarios, and identify optimal solutions. Learners examine how models support comparison, evaluation, and decision-making across different contexts.

The course concludes with an assessment designed to evaluate learners’ understanding of data analysis concepts, analytical reasoning, and informed decision-making principles.

Certification

After successful completion of the Data Analysis for Informed Decision Making course, learners receive a free digital certificate from Reed confirming course completion. A provider-issued certificate is also available following verification, with optional premium certificates and academic transcripts available separately.

This Data Analysis course is suitable for learners interested in analytical thinking, decision support, business analysis, operations planning, or professional development. It is ideal for students, administrators, team leaders, managers, or individuals seeking to strengthen their understanding of data analysis to support informed decision-making in academic or workplace settings.

No formal qualifications are required to enrol on this Data Analysis course. Learners should have a basic to good standard of English, access to the internet, and a computer, tablet, or smartphone. Completion of the assessment is required to successfully finish the course.

This Data Analysis course can support progression into analytical support roles, business administration, operations support, project coordination, or further academic study involving data analysis and decision-making skills.

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