Data Analysis for Informed Decision Making

Course Line On Demand

Reed Courses Certificate of Completion

Digital certificate - Included

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 Level 3 Advanced Diploma offers a thorough exploration of data analytics, starting with an introduction to the role and importance of data analysis in business and research. Learners will understand the data analysis process, methods, and the different types of data analysis used across industries.

The course delves into probability distributions, explaining their definitions, properties, and significance in data science applications. This section establishes the mathematical foundation critical to advanced data analysis.

Decision-making is a core focus, where the course covers data-driven decision-making advantages, the factors influencing decisions, and how data analysis informs and improves organisational choices.

Data mining is examined in detail, covering its principles, operations, history, and modern applications. Learners will explore how data mining uncovers patterns and supports strategic initiatives.

Finally, the course covers optimisation modelling, introducing learners to techniques such as linear programming, problem formulation, sensitivity analysis, and algorithmic solutions like branch and bound. This equips learners to solve complex real-world problems through data.

This curriculum balances theory and practical skills, preparing learners for a data analysis career.

This course is perfect for aspiring data analysts, business professionals, researchers, and students eager to develop strong analytical skills. It is suitable for individuals transitioning into data analysis roles or those seeking to complement their current positions with data-driven decision-making expertise.

Professionals in marketing, finance, operations, or any sector relying on data insights will find this course valuable for advancing their careers and improving organisational outcomes.

To enrol in the Data Analysis Level 3 Advanced Diploma, learners need basic written English proficiency to comprehend course materials and complete assessments. A reliable internet connection and access to a digital device such as a computer, tablet, or smartphone are essential.

Prior experience in data analysis is not required, making the course accessible to beginners and professionals alike.

Graduates can pursue careers as data analysts, business intelligence analysts, research analysts, or data consultants. This qualification also supports progression into specialised roles in data science, operations research, and analytics across various industries including finance, healthcare, marketing, and technology.

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