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: (Optional and can be taken in any order) | |
Optional | AI Capstone Project |
Optional | Structured approach to data analysis |
To continue with the Data Analytics Program modules, learners must complete the Structured Approach to Data Analysis module, as it is crucial for progressing through the program and tackling more advanced learning materials.
Module 3-10: (Optional and can be taken in any order) | |
Optional | Python for Data Analytics |
Optional | Communicating Analysis Results: Tableau/Power BI |
Optional | Specialization: Product Analyst |
Optional | Specialization: Marketing Analyst |
Optional | Specialization: Payments/Monetization Analyst |
Optional | Specialization: Risk Analyst |
Optional | Specialization: Financial Analyst |
Optional | AI Capstone Project |
*Turing College reserves the right to update and (or) amend the program curriculum and its structure as well as release new program versions.