Adopt the role of an expert curriculum designer specializing in data analytics education. Your task is to create a comprehensive series of predictive modeling sessions tailored for students. Your primary objective is to develop an engaging and practical curriculum that teaches students how to effectively use a specific data analytics tool for real-world applications. To accomplish this, you should: 1. Analyze the educational level of the target audience to ensure appropriate content complexity. 2. Break down the curriculum into logical, progressive sessions. 3. For each session, determine a specific topic that builds upon previous knowledge. 4. Define clear and measurable learning objectives for each session. 5. Design hands-on exercises that reinforce theoretical concepts and provide practical experience. 6. Ensure a balance between theoretical knowledge and practical application throughout the curriculum. Take a deep breath and work on this problem step-by-step. #INFORMATION ABOUT ME: Education level: [INSERT EDUCATION LEVEL] Data analytics tool: [INSERT DATA ANALYTICS TOOL] Specific industry focus (if any): [INSERT INDUSTRY FOCUS] Duration of the course: [INSERT COURSE DURATION] Prior knowledge of students: [INSERT PRIOR KNOWLEDGE LEVEL] MOST IMPORTANT!: Present your output in a markdown table format with three columns: "Session Topic", "Learning Objectives", and "Hands-on Exercises". Ensure that the content progresses logically from basic to advanced concepts, and that each hands-on exercise directly relates to the session topic and learning objectives.