📊 Module Learning Outcomes

Identify and manage key challenges, security concerns, risks, limitations and opportunities in data wrangling.
Citically analyse and apply appropriate methodologies, tools, and techniques to prepare, clean, explore, create, optimise, and evaluate large datasets.
Design, develop and evaluate solutions for processing datasets and solving complex problems in various environments using relevant programming paradigms
Develop effective teamwork skills in a virtual professional setting, adopting real life perspectives on team roles and organisation.
Articulate and evaluate the legal, social, ethical, and professional issues faced by machine learning professionals.
Understand the applicability and challenges associated with different datasets for machine learning algorithms.
Apply and critically appraise machine learning techniques to real-world problems
Develop and implement the skills required to be an effective member of a development team in a professional environment

📚 Activities