### Q1: What are the key differences between structured and unstructured data, and can you provide an example of each?  
### Q2: How would you summarize the process of ETL in data warehousing, and what role does it play in data analytics?  
### Q3: What are the main types of analytics in data analysis, and how do they differ from one another?  
### Q4: In what scenarios would a low-code approach be more beneficial than hands-on coding for business applications?  
### Q5: Describe a situation where a mixed approach could enhance business application development using data analytics.  
### Q6: How does hands-on coding contribute to the effectiveness of data-driven business strategies?  
### Q7: What are some effective communication techniques for presenting complex data analytics findings to a non-technical audience?  
### Q8: How can one improve their communication skills to better collaborate with technical teams when discussing data warehousing concepts?  
### Q9: What strategies can be employed to ensure that business stakeholders understand the implications of data analytics results?