Data Science for Technologists

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Course overview
  • Level: Intermediate
  • Study period: 16 weeks
  • Author: AIAT
  • Evaluation: 
    Self-Assessment/Projects
  • Rich learning experiences:
    300-400 hours
In this subject, students are introduced to the fundamental concepts and processes of Data Science, focusing on the analysis of data. They will learn to use the statistical programming package R to perform comprehensive statistical analyses. The course covers modern modeling and solution techniques essential for solving decision-making problems across business, industry, and public services. Emphasis is placed on the importance of recognizing and testing model assumptions to ensure robust and reliable results.

Students will research the application of data science in various organizational contexts to identify specific uses of data science methods. They will critically evaluate key characteristics of data sets, including data quality and profile, and use R language tools to conduct exploratory data analysis and create data visualizations for diverse data sets. The course also involves selecting appropriate statistical methodologies for real-world problems, implementing these methods to analyze data sets, and conducting tests to validate the models used. Additionally, students will analyze complex data science problems through data manipulation, visualization, and statistical investigation, critically evaluating the outcomes. The subject also incorporates the application of self-regulated learning concepts to help students plan, monitor, and evaluate their performance in tasks.

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Our Facilitator

Dr. Ziggy Zdziarski

Artificial Intelligence Researcher

Dr. Ziggy Zdziarski is a researcher and lecturer in Artificial Intelligence, uniquely equipped with a PhD in AI, a Master’s in Philosophy, and a Master’s in Theology. His interdisciplinary expertise bridges technical innovation with ethical and philosophical insights, enabling him to tackle complex challenges in AI with a holistic approach. Dr. Zdziarski has made significant contributions to the field of AI through his research, teaching, and thought leadership. Beyond academia, he runs a successful blog at www.zbigatron.com, where he shares insights on AI, technology, and philosophy. His YouTube channel (@zbigatron) further extends his outreach, offering engaging content that simplifies AI concepts for learners and enthusiasts worldwide. With a passion for advancing AI responsibly, Dr. Zdziarski is dedicated to empowering the next generation of AI professionals while fostering meaningful conversations about the intersection of technology, ethics, and humanity.
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