As part of my CAS (Creativity, Activity, Service) journey, I participated in the GenAI-Powered Data Analytics Job Simulation offered through Forage, an online platform that provides free virtual work experience programs designed by leading global companies. The course simulated the real-world tasks of a data analyst working with generative AI tools to interpret, visualize, and communicate insights from data. This experience allowed me to explore how artificial intelligence is transforming the data analytics field while also developing key professional and ethical skills.
LO1 – Identify own strengths and develop areas for growth
Through this simulation, I discovered that I am particularly strong in data visualization and logical analysis, as I could interpret patterns in datasets effectively. However, I also realized I needed to strengthen my prompt engineering and AI tool usage, especially when asking GenAI models to perform specific analytical tasks. This experience helped me identify new areas for growth in both technical and communication skills.
LO2 – Demonstrate that challenges have been undertaken, developing new skills in the process
The simulation required learning how to integrate AI-powered tools into traditional data workflows, which was initially challenging. For example, using GenAI to clean messy data or summarize complex trends took experimentation and persistence. By tackling these challenges, I developed new skills in AI-assisted data analysis, problem-solving, and adaptive thinking, which are crucial for a future career in technology or analytics.
LO3 – Demonstrate how to initiate and plan a CAS experience
I chose this simulation independently after researching opportunities that aligned with my interest in technology and data science. I set clear goals: to understand how AI can enhance data analysis and to gain virtual work experience that mirrors industry standards. I scheduled specific days to complete each task and reflected on what I learned after each stage. This shows that I was able to initiate, plan, and manage my CAS experience effectively.
LO4 – Show commitment to and perseverance in CAS experiences
Completing the simulation required discipline and consistency. Each module involved learning new concepts and applying them to practical exercises, such as interpreting datasets and using GenAI to generate insights. Even when I faced difficulties understanding how AI models interpret instructions, I persisted and used online resources to overcome those challenges. This perseverance helped me complete the program successfully.
LO5 – Demonstrate the skills and recognize the benefits of working collaboratively
Although the simulation was individual, it emphasized collaboration in professional settings, showing how data analysts work with teams using AI tools. It also simulated communication with virtual colleagues and stakeholders, highlighting the importance of clear and ethical communication. This experience helped me recognize that collaboration between humans and AI systems can significantly improve decision-making and productivity.
LO6 – Demonstrate engagement with issues of global significance
The simulation addressed AI’s impact on the global workforce and how technology can both empower and disrupt industries. Understanding data ethics, bias, and automation has global implications, especially in how organizations use AI responsibly. By exploring these themes, I engaged with the broader discussion about AI’s global significance and its role in shaping the future of work.
LO7 – Recognize and consider the ethics of choices and actions
The program included reflection on ethical AI usage, such as preventing data bias, maintaining transparency, and ensuring fairness in automated decision-making. I learned that as future data professionals, we must consider the consequences of our choices not just for efficiency but for ethical integrity. This experience deepened my understanding of responsible innovation and the moral aspects of data-driven technologies.
