Module 1: Introducing Data Analytics and Analytical Thinking Answers (Part 1: Q1–15)
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In this post, I provide accurate answers and detailed explanations for Module 1: Introducing data analytics and analytical thinking of Course 1: Foundations: Data, Data, Everywhere – 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.
Here, we’ll walk through questions 1 to 15 with detailed explanations to support your learning.
To find answers to the remaining questions, check out the full module breakdown below:
Optional: Familiar with data analytics? Take our diagnostic quiz
Practice Quiz
1. Optional speed track for those experienced in data analytics
The Google Data Analytics Certificate provides instruction and feedback for learners hoping to earn a position as an entry-level data analyst. While many learners will be brand new to the world of data analytics, others may be familiar with the field and simply wanting to brush up on certain skills.
If you believe this course will be primarily a refresher for you, we recommend taking this practice diagnostic quiz. It will enable you to determine if you should follow the speed track, which is an opportunity to proceed to Course 2 after taking each of the Course 1 Weekly Challenges and the overall Course Challenge. Learners who earn 100% on the diagnostic quiz can treat Course 1 videos, readings, and activities as optional. Learners following the speed track are still able to earn the certificate.
If you aren't familiar with data analytics, this course was made for you! Feel free to skip this quiz and move forward through all of the course material.
Get ready to take the next step in your data analytics journey with the question below!
A clothing retailer collects and stores data about its sales revenue. Which of the following would be part of its data ecosystem? Select all that apply.
- The cloud that store its database ✅
- The databases of competing retailers
- The database of sales revenue ✅
- Records of its inventory ✅
Explanation:
A data ecosystem includes all elements interacting to produce, manage, store, and analyze data. For a clothing retailer, this would involve its sales revenue database, cloud storage, and inventory records. Competing retailers’ data is external and not part of the ecosystem.
2. What is the process of guiding business strategy using facts?
- Strategic improvement
- Data-driven decision-making ✅
- Analytical planning
- Identification of data and decisions
Explanation:
Data-driven decision-making involves leveraging data to guide strategic business decisions, ensuring choices are backed by factual analysis rather than intuition.
3. Fill in the blank: Curiosity, understanding context, having a technical mindset, data design, and data strategy are _____. They enable data analysts to solve problems using facts.
- thought processes
- analytical skills ✅
- personal insights
- business skills
Explanation:
These attributes form analytical skills, which help data analysts explore and solve problems effectively by using facts and logical reasoning.
4. The owner of a skate shop notices that every time a certain employee has a shift, there are higher sales numbers at the end of the day. After some investigation, the owner realizes that since the employee was hired, the store earns 15% more each month. In this scenario, the manager used which quality of analytical thinking?
- Correlation ✅
- Big-picture thinking
- Visualization
- Problem-orientation
Explanation:
The owner identified a correlation between the employee’s presence and increased sales. This analytical thinking quality involves recognizing relationships between data points.
5. Gap analysis is a process that could help accomplish which of the following tasks? Select all that apply.
- Spread awareness about income inequality based on local salaries
- Reduce a company’s carbon footprint based on its current emissions ✅
- Increase the efficiency of a car manufacturer based on its current assembly process ✅
- Improve accessibility for an educational app based on its current functionality ✅
Explanation:
Gap analysis examines current processes to identify areas for improvement, such as increasing efficiency, reducing emissions, or enhancing accessibility.
6. An advertising firm has used insights from its analytics team to create a strategy for improving sales. Now, they implement a plan to increase annual revenue. The firm is at which step of the data analysis process?
- Act ✅
- Share
- Analyze
- Process
Explanation:
The Act phase involves implementing insights to address business challenges, like increasing revenue based on analytical recommendations.
7. A data analyst adds descriptive headers to columns of data in a spreadsheet. How does this improve the spreadsheet?
- It adds context ✅
- It eliminates unnecessary details
- It improves the aesthetic appeal
- It clarifies the business strategy
Explanation:
Descriptive headers provide context, making it easier to understand and interpret the data’s structure and purpose.
8. This is a selection from a spreadsheet that ranks the 10 most populous cities in North Carolina. To alphabetize the county names in column D, which spreadsheet tool would you use?
- Alphabetize range
- Sort range ✅
- Name range
- Organize range
Explanation:
Using Sort range alphabetizes data, such as county names, enabling better organization and quicker data retrieval.
9. You are querying a database of manufacturing company suppliers. The column name for supplier identification numbers is supplier_id. What is the correct clause to retrieve only data about the supplier with identification number 85317?
- FROM supplier_id 85317
- COLUMN supplier_id = 85317
- SELECT supplier_id 85317
- WHERE supplier_id = 85317 ✅
Explanation:
The WHERE clause specifies criteria for data retrieval, narrowing down results to match the given condition.
10. Imagine you are sharing your data with a company stakeholder. Why might you display data with a data visualization instead of a table? Select all that apply.
- It helps them identify trends more quickly ✅
- It’s easy to understand ✅
- It thoroughly describes each data point
- It’s aesthetically pleasing ✅
Explanation:
Data visualizations simplify information sharing by presenting trends in an easy-to-understand and visually appealing format, making them ideal for stakeholders.
Test your knowledge on the data ecosystem
Practice Quiz
11. Which of the following statements best defines data?
- Data is an assortment of questions.
- Data is a business process.
- Data is a collection of facts. ✅
- Data is the use of calculations and statistics.
Explanation:
Data refers to factual information such as numbers, words, measurements, or observations that can be collected for analysis. By analyzing data, we can uncover patterns, draw conclusions, and make predictions to guide decisions effectively.
12. Fill in the blank: In data analytics, the data ecosystem refers to the various elements that interact with one another to produce, manage, store, _____, analyze, and share data.
- merge
- locate
- ingest
- organize ✅
Explanation:
The data ecosystem is a network of interconnected components that work together to manage data. These elements ensure data is efficiently stored, organized, and analyzed to provide meaningful insights.
13. Which of the following terms refers to the collection, transformation, and organization of data in order to draw conclusions, make predictions, and drive informed decision-making?
- Data elements
- Data life cycle
- Data insight
- Data analysis ✅
Explanation:
Data analysis involves processing raw data into actionable insights. This process enables businesses to identify trends, improve processes, and develop strategies based on evidence and facts.
14. An airline collects, observes, and analyzes its customers' online behaviors. Then, it uses the insights gained to choose what new products and services to offer. What business process does this describe?
- Data-driven decision-making ✅
- Performance measurement
- Collaboration with stakeholders
- Analytical thinking
Explanation:
This question highlights the importance of data-driven decision-making, a process where businesses rely on factual data rather than intuition to guide their strategies. By analyzing customer behaviors, the airline can identify market demands and improve its services accordingly.
Test your knowledge on proper use of the discussion forum
Practice Quiz
15. Which of the following examples is an appropriate use of the discussion forum?
- Asking other learners to give your resume to their employer
- Posting answers to quiz questions
- Sharing a photo of your new pet
- Asking a question about a lesson from this program ✅
Explanation:
Discussion forums are designed for learners to collaborate, ask questions, and share insights related to the course content. Using forums for unrelated topics or self-promotion is discouraged, as it detracts from the purpose of the platform.
That’s it for Part 1! Continue your learning journey with the next set of answers.
Next Part: Module 1: Introducing Data Analytics and Analytical Thinking Answers (Part 2: Q16–30)