Data Analytics and Visualisation

Most modules require a 2.2 degree in a related discipline or equivalent professional experience. Should you have any queries regarding your eligibility, please contact us at info@advancecentre.ie

N.B. Required to have completed computer programming at degree level.

On completion of this module the learner will/should be able to:

• Apply techniques such as feature scaling, standardisation, missing data handling and encoding to preprocess and clean data.
• Visualise the processed data graphically, identify the correlation between the features, interpret the linear/non-linear relationships in the data.
• Make meaningful inferences from the data, remove/retain features based on variable importance.
• Create interactive dashboard for data visualisation.
• Identify patterns in the data using exploratory data analysis and clustering techniques.
• Discriminate patterns in new data using trained discriminative classification models.
• Summarise, analyse, and relate research in the area of exploratory data analysis and pattern recognition in writing. Appreciate the data ethics and constraints that apply to the use of data in real-world scenarios.
• Design, implement and test a real world problem using the above learned techniques.