Programme information
Learn data analytics for successful decision making in every industry
This course offers an overview of statistical topics and their applications in various fields. It introduces the basics of quantitative analysis and its growing significance in today’s professional landscape. Learners are exposed to quantitative decision-making tools and techniques through real-world case studies. Each module features games, videos, interactive exercises, quizzes, and other engaging content to ensure rapid mastery and practical application. The module videos and lessons focus on using both Microsoft Excel and OpenOffice.
Develop your skills, knowledge
and abilities in:
- Applying quality management principles, describing programmes, and using tools in a case study.
- Exploring the differences between quality control and quality assurance and applying analysis and planning approaches to ensure quality.
- Using the Plan-Do-Check-Act cycle for work coordination and change implementation.
- Creating a SIPOC diagram to visualise work as a process.
- Utilising the Seven Basic Quality Tools to monitor and control quality processes, process non-numerical data, and creating effective solutions for quality issues.
- Providing insights into common analytics for business, quality improvement, healthcare, education, and government, and providing data-driven recommendations for manufacturing, healthcare, education, and governmental decisions.
- Explaining the management implications of using business intelligence and knowledge management systems.
- Defining Big Data and its current uses for analysis and future potential and implications.
- Differentiating between KPI’s, the Balanced Scorecard, and the Net Promoter Score for organisational performance measurements.
- Understanding measurement concepts, including levels of measurement, reliability and validity and information bias.
- Explaining data management techniques including transforming data, recoding data, and handling missing data.
- Examining various quantitative analysis topics and applying the standard deviation rule to normal distributions, interpretation of ANOVA test results, and forecasting techniques.
And cultivate the professional competencies to work in a high-demand field
If you’re seeking a career as a data analyst, business intelligence analyst, data scientist, or data engineer, St Mary’s University’s Certificate in Data Analytics equips you with the skills and knowledge needed to thrive in these roles and contribute to organisations’ data-driven decision-making processes.
Learning through courses including:
- Statistical Process Control
- Data Analysis in the Real World
- Data Analysis for Improving Organisational Performance
- Introduction to Data Analysis
- Tools of Data Analysis
- Statistics as a Managerial Tool
