What features could General Assembly add to its Data Science Immersive course to make it more relevant for current industry trends?

Introduction

To improve General Assembly's Data Science Immersive course and make it more relevant for current industry trends, we need to carefully analyze the evolving landscape of data science and align our curriculum with the latest industry demands. I'll outline a strategic approach to enhance the course, focusing on key stakeholders, pain points, and innovative solutions.

Step 1

Clarifying Questions (5 mins)

• Looking at the product context, I'm thinking about the current structure of the Data Science Immersive course. Could you provide more information about the course duration, delivery format (online, in-person, or hybrid), and the typical student profile?

Why it matters: This helps us understand the constraints and opportunities for improvement. Expected answer: 12-week full-time program, both online and in-person options, students typically career-changers or recent graduates. Impact on approach: Would influence the depth and breadth of new features we can introduce.

• Considering user behavior, I'm curious about the post-course outcomes. What percentage of graduates successfully transition into data science roles within 6 months of completing the course?

Why it matters: Indicates the current effectiveness of the course in preparing students for the job market. Expected answer: Around 70% of graduates secure data science positions within 6 months. Impact on approach: Lower percentages would prioritize job-readiness features, higher percentages might focus on advanced topics.

• Examining external factors, I'm interested in the competitive landscape. How does General Assembly's Data Science Immersive course currently compare to other bootcamps or online learning platforms in terms of curriculum coverage and industry recognition?

Why it matters: Helps identify gaps and opportunities for differentiation. Expected answer: Strong brand recognition, but facing increased competition from specialized online platforms. Impact on approach: Would influence whether to focus on breadth of topics or depth in specific areas.

• Considering company alignment, what are the key performance indicators (KPIs) that General Assembly uses to measure the success of the Data Science Immersive course?

Why it matters: Ensures our proposed improvements align with the company's goals. Expected answer: Student enrollment numbers, job placement rates, and student satisfaction scores. Impact on approach: Would guide the prioritization of features that directly impact these KPIs.