Advanced Certificate in Artificial Intelligence in the Digital Economy Module 2: Machine Learning and Data Analytics for Business Applications (Synchronous E-Learning)
About This Course
This module is designed to provide participants with a comprehensive understanding of how machine learning and data analytics can be leveraged in the context of business applications within the digital economy. It covers fundamental concepts of machine learning, including supervised and unsupervised learning, as well as advanced techniques such as deep learning. Participants will also gain practical insights into data analytics methodologies, tools, and best practices for extracting meaningful insights from large datasets. Emphasis will be placed on real-world business applications, enabling participants to develop the skills necessary to make data-driven decisions that drive business growth and innovation.
Throughout this module, participants will engage in hands-on exercises using industry-standard tools and platforms to apply machine learning algorithms and data analytics techniques to solve complex business challenges. By the end of the module, participants will have acquire a solid foundation in leveraging machine learning and data analytics for strategic decision-making within modern businesses operating in the digital economy.
What You'll Learn
• Understand the fundamental principles of machine learning and data analytics, including key algorithms and techniques commonly used in business applications
• Develop the ability to apply machine learning and data analytics tools to real-world business problems, with a focus on identifying opportunities for automation and optimisation
• Gain proficiency in using popular programming languages such as Python for implementing machine learning models and conducting data analysis within a business context
• Acquire knowledge of ethical considerations and best practices related to handling sensitive business data when applying machine learning and data analytics techniques
• Demonstrate the capability to interpret results from machine learning models, communicate findings effectively, and make informed decisions based on insights derived from data analysis in a business setting
Entry Requirements
Nil