5. **What are the ethical considerations to keep in mind when conducting data analysis on user data?
4. **How does machine learning integrate with traditional data analysis methods, and in what situations is it most beneficial?
3. **What are the common pitfalls in data cleaning and preprocessing, and how can they be avoided?
2. **How can data visualization tools enhance the storytelling aspect of data analysis?
**What is the difference between descriptive and inferential statistics in the context of data analysis?
What are the most common statistical methods used in data analysis, and how do you decide which method to apply to a given dataset?
How can data visualization techniques enhance the interpretation of complex data sets?
What steps are involved in preparing data for analysis, and why is data cleaning essential?
How do you handle missing or incomplete data while performing data analysis?
What are the key differences between descriptive, predictive, and prescriptive data analysis?
