Advanced Certificate in Data Analytics in Digital Economy Module 3: Statistical Analysis and Machine Learning for Business Insights (Synchronous E-Learning)
About This Course
Module 3 is designed to equip participants with the knowledge and skills necessary to leverage statistical analysis and machine learning techniques in a business context. The module will cover foundational statistical concepts, exploratory data analysis, hypothesis testing, regression analysis, classification models, clustering techniques, and time series analysis. Participants will also learn how to apply these methods to extract valuable insights from large datasets, make data-driven decisions, identify patterns and trends in business data, predict future outcomes, optimise processes, and drive strategic decision-making. Emphasis will be placed on practical applications of statistical analysis and machine learning algorithms using popular tools such as Python or R. By the end of this module, participants will have a solid understanding of how statistical analysis and machine learning can be used to derive actionable insights that drive business performance in the digital economy.
What You'll Learn
• Understand the fundamental principles of statistical analysis and machine learning algorithms commonly used in business analytics
• Apply statistical techniques to analyse and interpret complex business data sets, identifying patterns, trends, and correlations that can provide valuable insights for decision-making
• Develop proficiency in using machine learning models to predict future business outcomes based on historical data, including regression analysis, classification algorithms, and clustering methods
• Evaluate the ethical considerations and potential biases associated with applying statistical analysis and machine learning in a business context, ensuring responsible use of data-driven insights
• Demonstrate the ability to communicate findings from statistical analysis and machine learning models effectively to non-technical stakeholders within a business environment, facilitating informed decision-making processes
Entry Requirements
Nil