| Modules | Credits | |||||||||||||||||||||||||||
| Data Science Foundations | 20 | |||||||||||||||||||||||||||
| Probability and statistics for data analysis | 20 | |||||||||||||||||||||||||||
| Advanced Predictive Modelling | 20 | |||||||||||||||||||||||||||
| Data Analysis and Visualisation | 20 | |||||||||||||||||||||||||||
| Data Mining, Machine Learning and Artificial Intelligence | 20 | |||||||||||||||||||||||||||
| Advanced Computing Research Methods | 20 | |||||||||||||||||||||||||||
Requirements
- Recognised Level 6 Qualification or any other eqivalent Qualification
Features
- The principal objective of the OTHM Level 7 Diploma in Data Science qualification is to develop the knowledge and skills and construct the means for extracting business-focused insights from data. This requires an understanding of how value and information flows in a business, and the ability to use that understanding to identify business opportunities.
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