Module 3: Optional: Use your portfolio
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In this post, I provide accurate answers and detailed explanations for Module 3: Optional: Use your portfolio of Course 8: Google Data Analytics Capstone: Complete a Case Study – Google Data Analytics Professional Certificate.
Whether you’re preparing for quizzes or brushing up on your knowledge, these insights will help you master the concepts effectively. Let’s dive into the correct answers and detailed explanations for each question.
Test your knowledge on effective interview techniques
1. An elevator pitch gives potential employers a quick, high-level understanding of your professional experience. What are the key considerations when creating an elevator pitch? Select all that apply.
- Focus on your process over the results ✅
- Consider your audience’s interests ✅
- Keep it fresh by not over-practicing it
- Make sure it’s short enough that it can be explained to someone during an elevator ride ✅
Explanation:
Key considerations for an elevator pitch include keeping it short, focusing on your process over results, and tailoring it to your audience’s interests. Practicing is essential to ensure confident delivery.
2. What are the key purposes of discussing a case study during an interview? Select all that apply.
- Outline your thinking about a data analytics scenario for your interviewer ✅
- Ask your potential employer questions about the company
- Negotiate a fair salary for the position
- Recommend real-world solutions based on your own work ✅
Explanation:
Discussing a case study during an interview demonstrates your thinking process and ability to recommend real-world solutions. It is not the time to ask questions about the company or negotiate salary.
3. If an interviewer says, “Tell me about yourself,” it’s important to limit your response to topics related to data analytics.
- True
- False ✅
Explanation:
When asked to “Tell me about yourself,” include relevant skills and experiences from all areas, not just data analytics, to provide a comprehensive and positive representation.
4. During an interview, you will likely respond to technical questions, practical knowledge questions, and questions about your personal experiences. What strategies can help you prepare to respond effectively? Select all that apply.
- Copy real-world examples from more experienced professionals to include in your responses
- Write down your answers to common questions ✅
- Practice your responses until they feel natural and unrehearsed ✅
- Brainstorm examples from your own experiences that support your answers ✅
Explanation:
To prepare for an interview, brainstorm personal examples, write down answers to common questions, and practice until responses feel natural. Avoid copying examples from others.
5. Imagine that an interviewer asks, “How do you maintain data integrity?” What topics does this question give you the opportunity to discuss? Select all that apply.
- The reasons you strongly preference SQL over spreadsheets for data cleaning
- The impact that issues with your data can have on business decisions ✅
- The methods you would use for error checking and data validation ✅
- The importance of reliability and accuracy in good data analysis ✅
Explanation:
The question about maintaining data integrity allows you to discuss methods for error checking and validation, the importance of reliability and accuracy in data analysis, and the impact of data issues on business decisions.
Related contents:
Module 1: Learn about capstone basics
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