Outline
Outline
The Statistical Data Science Specialization builds on students' previous experience in statistics and mathematics to enable them to develop complex models for a wide variety of data types and draw inferences. A strong emphasis is also placed on developing an understanding of underlying statistical theory and statistical computational abilities.
What you'll learn
- have demonstrated narrower knowledge and understanding in a further field of study that is typically at a level that, whilst supported by advanced textbooks, includes some aspects that will be informed by knowledge of the forefront of Statistical Data Science, GC1
- can apply their narrower knowledge and understanding in a manner that indicates a professional approach to the field, and have competencies typically demonstrated through devising and sustaining arguments (to both specialist and non-specialist audiences) and solving problems within Statistical Data Science, including using digital technologies, GC2, GC3
- can gather and interpret relevant data within Statistical Data Science to inform judgements that include reflection on relevant social, scientific, or ethical issues, including being aware of the diversity of international perspectives associated with Statistical Data Science, and how these impact upon the practice of the field, GC4, GC5
- display a high standard of professional behaviour, including effective time management, both independently and as a team member, GC6