Data Analytics (DATA)

This course  equips students with the knowledge, skills, and ethical principles necessary to excel in the field of data analytics and contribute meaningfully to data-driven decision-making in diverse professional settings. It aims at the following learning outcomes:

1. Proficiency in Data Analytics Techniques:
   • Develop a robust expertise in data analytics techniques, including proficiency in using various data analytics tools, understanding their functionalities, and knowing how to apply them effectively. This encompasses the full spectrum of data analytics, from data collection and preprocessing to exploratory analytics (EXA), predictive analytics (PRA), diagnostic analytics (DAN), and prescriptive analytics (PAN).
2. Effective Project Management and Communication:
   • Acquire comprehensive project management skills for data analytics, allowing you to plan, execute, and oversee data analytics projects from start to finish. This includes skills in data collection, data cleaning, model development, and result interpretation. Additionally, learn how to communicate your findings and insights clearly and persuasively to a wide range of audiences, whether they are technical experts or non-technical decision-makers.
3. Ethical and Responsible Data Usage:
   • Understand the ethical considerations surrounding data analytics, including privacy, data security, and regulatory compliance. Learn how to handle data responsibly and lawfully, ensuring that data usage aligns with ethical standards and legal requirements. This includes recognizing the implications of data biases and potential societal impacts.
4. Continuous Learning and Interdisciplinary Collaboration:
   • Cultivate a commitment to continuous learning in the rapidly evolving field of data analytics. Stay updated with the latest techniques, tools, and industry best practices to remain competitive in the job market. Also, foster an appreciation for interdisciplinary collaboration, recognizing that data analytics often involves working with professionals from diverse fields, such as business, healthcare, finance, and more, to address complex challenges and unlock new opportunities through data-driven insights.