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Data Science

This course enables students to model and interpret data. With a comprehensive combination of theory and practice, you will learn how to construct, analyse and present integrated data sets and deliver valuable insights for their organisations.

  • Duration: 12 weeks plus final assessment
  • Delivery Mode: Online


The course introduces you to Data Science concepts, principles of statistical analysis, data interpretation and visualisation techniques, aspects of probability models, data cleaning and manipulation, pattern recognition and learning and statistical methods.

Students will use Python programming language to solve work-based big data problems, learn how to classify data sets into structured, semi- structured and unstructured data and apply their own code to work with this data. 


  • Introduction to Python Programming/ Machine Learning/Plot types
  • Data scraping, parsing and down- sampling
  • Data set fusion, filtering, slicing and dicing
  • Schema validation and reconciliation
  • Data manipulation, array programming, data frame
  • Sources of data problems
  • Co-occurrence grouping of data
  • Statistical distribution fitting/ statistical significance of fitting
  • Statistics
  • Python Programming

On completion of this course, you will have created the following assets:

  • A variety of Python programmes
  • A selection of Data Science models for specific data sets


Assignments are centred on work-based business challenges.  

Students will be given course-specific assignments that both reinforce the learning and provide work-based experience of applying new skills. All assignments are subject to a rigorous assessment framework.

Assessments for this specific course will include weekly quizzes.

Members – book your place at this event for the special price of just  €1350

Membership means more than saving on events. You can also network with like-minded professionals, and gain recognition of your experience and expertise. Learn more about membership benefits.

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  • Price:

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