WSQ Capstone Project-Data Science & AI (SF) (Synchronous and Asynchronous E-Learning)
About This Course
This course contains 2 types of Capstone. Learners can choose any one of these.
Capstone on Data Science
The "Capstone Project-Data Analytics" module is the pinnacle of the data science program, allowing learners to apply their skills to real-world projects. They define objectives, acquire and prepare data, conduct exploratory analysis, apply advanced analytics techniques, evaluate results, and present findings. Using Microsoft Azure Machine Learning, learners gain hands-on experience and demonstrate proficiency in project management, data analysis, modeling, and communication.
Capstone on AI
The "Capstone Project-Generative AI" module teaches learners to build chatbots with Microsoft Copilot Studio. They research, set up, and create conversation flows with dynamic responses. Integration of media enhances user experience. Emphasizing proactive messaging and functionality extension, learners continuously optimize chatbots based on feedback and data. They develop fully functional chatbots adept at leveraging advanced features for tailored, user-centric solutions..
What You'll Learn
Capstone Project - Data Science -Skills outcome
1. Project management and planning: Learners develop skills in defining project objectives, creating methodology, and planning deliverables, showcasing proficiency in project management and planning.
2. Data acquisition and cleaning: Learners gain expertise in preparing and cleaning data from multiple sources, demonstrating proficiency in data acquisition and integration.
3. Exploratory data analysis (EDA): Learners acquire skills in performing EDA to gain insights and visualize relationships within the data, showcasing proficiency in data exploration and visualization.
4. Modelling techniques application: Learners apply modelling techniques to extract meaningful information from data, demonstrating proficiency in statistical analysis and modelling.
5. Presentation and documentation: Learners demonstrate proficiency in presenting findings with compelling visualizations and storytelling techniques, as well as documenting the project process, showcasing effective communication and documentation skills.
Capstone Project- Gen AI
1. Proficiency in research and evaluation: Learners develop the ability to research and evaluate Microsoft Copilot Studio, showcasing adaptability and research skills in assessing tools for chatbot development.
2. Technical setup and configuration: Learners gain mastery in setting up environments and configuring essential tools for chatbot development, demonstrating technical proficiency and adaptability in tool usage.
3. Effective conversation design: Learners acquire skills in creating and managing topics, utilizing entities and variables, and implementing proactive messaging strategies, showcasing expertise in designing effective conversation flows and user interactions.
4. Integration of multimedia and rich media: Learners learn to enhance chatbot interactions with rich media and attachments.
Entry Requirements
Academic Qualification - Minimum one credit in O level
English Proficiency - Minimum IELTS 5.5 or its equivalent
Knowledge & Skill requirement: Logical thinking skills