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
This course substitutes for an internship. Students learn Data Science fundamentals, focusing on data analysis with R. They evaluate data quality, create visualizations, apply statistical methods to real-world problems, and emphasize model testing and self-regulated learning for robust results. 

Master the fundamentals of Data Science, including data analysis techniques, data wrangling, and the use of R programming. 

Critically evaluate data quality and perform exploratory data analysis, creating meaningful visualizations using various data visualization techniques. 

Apply modern statistical and machine learning methods to solve real-world decision-making problems across various domains. 

Test and validate statistical models and algorithms to ensure robust and reliable results, focusing on model evaluation and validation techniques. 

Develop self-regulated learning skills to plan, monitor, and evaluate personal performance in data science tasks, incorporating concepts of data ethics and responsible data usage. 

Unlock your career's potential with an industry-recognized professional qualification certificate

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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