طراحی جلسات مدل‌سازی پیش‌بینی

Act as 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.

Output strictly in Persian language.