UZT learners can learn more about their requirements by checking the UZT infopack
Module 1: AI for Business Analytics | |
Sprint 1 | Introduction to AI and Common Use Cases |
Sprint 2 | AI for Accessing and Communicating Data |
Sprint 3 | AI for Analytical Insights |
Sprint 4 | AI for Advanced Use Cases |
Module 2: ( |
Can be taken in any order) |
Personal Project | AI Capstone Project |
Specialization |
Structured approach to data analysis
...
Introduction to Data Analytics AI |
Module 3-10: (Optional and can Can be taken in any order) | Optional|||
Personal Project | AI Capstone Project | ||
Specialization | Python for Data Analytics | ||
OptionalSpecialization | Communicating Analysis Results: Tableau/Power BI | ||
OptionalSpecialization | Specialization: Product Analyst | ||
OptionalSpecialization | Specialization: Marketing Analyst | ||
OptionalSpecialization | Specialization: Payments/Monetization Analyst | ||
OptionalSpecialization | Specialization: Risk Analyst | ||
OptionalSpecialization | Specialization: Financial Analyst | Optional | AI Capstone Project |
Specialization | Main Analysis Types | ||
Specialization | Introduction to Data Analytics AI |
Note that specializations are not available for scholarship recipients. For more details, please refer to the document that applies to you:
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*Turing College reserves the right to update and (or) amend the program curriculum and its structure as well as release new program versions. |