Week 1: Introducing data analytics
1. Data analysis is the various elements that interact with one another in order to provide, manage, store, organize, analyze, and share data.
- True
- False
2. In data analytics, a model is a group of elements that interact with one another.
- True
- False
3. Fill in the blank: The primary goal of a data _____ is to create new questions using data.
- designer
- analyst
- engineer
- scientist
4. Fill in the blank: The term _____ is defined as an intuitive understanding of something with little or no explanation.
- personal opinion
- rational thought
- gut instinct
- awareness
5. A company defines a problem it wants to solve. Then, a data analyst gathers relevant data, analyzes it, and uses it to draw conclusions. The analyst shares their analysis with subject-matter experts, who validate the findings. Finally, a plan is put into action. What does this scenario describe?
- Data science
- Data-driven decision-making
- Customer service
- Identification of trends
6. What do subject-matter experts do to support data-driven decision-making? Select all that apply.
- Offer insights into the business problem
- Review the results of data analysis and identify any inconsistencies
- Collect, transform, and organize data
- Validate the choices made as a result of the data insights
7. You have just finished analyzing data for a marketing project. Before moving forward, you share your results with members of the marketing team to see if they might have additional insights into the business problem. What practice does this support?
- Data analytics
- Data science
- Data-driven decision-making
- Data management
8. You read an interesting article about data analytics in a magazine and want to share some ideas from the article in the discussion forum. In your post, you include the author and a link to the original article. This would be an inappropriate use of the forum.
- True
- False
9. Which of the following options describes data analysis?
- The various elements that interact with one another in order to provide, manage, store, organize, analyze, and share data
- Creating new ways of modeling and understanding the unknown by using raw data
- The collection, transformation, and organization of data in order to draw conclusions, make predictions, and drive informed decision-making
- Using facts to guide business strategy
10. In data analytics, what term describes a collection of elements that interact with one another to produce, manage, store, organize, analyze, and share data?
- The cloud environment
- A modeling system
- A data ecosystem
- A database
11. Select the best description of gut instinct.
- Choosing facts that complement your personal experiences
- An intuitive understanding of something with little or no explanation
- Manipulating data to match your intuition
- Using your innate ability to analyze results
12. A furniture manufacturer wants to find a more environmentally friendly way to make its products. A data analyst helps solve this problem by gathering relevant data, analyzing it, and using it to draw conclusions. The analyst then shares their analysis with subject-matter experts from the manufacturing team, who validate the findings. Finally, a plan is put into action. This scenario describes data-driven decision making.
- True
- False
13. Fill in the blank: _______ are an important part of data-driven decision-making because they are people familiar with the business problem and can offer insight into the results of data analysis.
- Customers
- Competitors
- Subject-matter experts
- Stakeholders
14. Consulting with experts in the marketing department about your marketing analysis is an example of what process?
- Data analytics
- Data-driven decision-making
- Data management
- Data science
15. You have recently subscribed to an online data analytics magazine. You really enjoyed an article and want to share it in the discussion forum. Which of the following would be appropriate in a post? Select all that apply.
- Checking your post for typos or grammatical errors.
- Including an advertisement for how to subscribe to the data analytics magazine.
- Giving credit to the original author.
- Including your own thoughts about the article.
16. Which of the following could be elements of a data ecosystem? Select all that apply
- Sharing data
- Producing data
- Gaining insights
- Managing data
17. If you are using data-driven decision-making, what action steps would you take? Select all that apply.
- Surveying customers about results, conclusions, and recommendations
- Gathering and analyzing data
- Sharing your results with subject matter experts
- Drawing conclusions from your analysis
18. What do subject-matter experts do to support data-driven decision-making? Select all that apply.
- Collect, transform, and organize data
- Offer insights into the business problem
- Review the results of data analysis and identify any inconsistencies
- Validate the choices made as a result of the data insights
19. Fill in the blank: When following data-driven decision-making, a data analyst will consult with ______ .
- subject matter experts
- stakeholders
- managers
- customers
20. What is the purpose of data analysis? Select all that apply.
- To drive informed decision-making
- To create models of data
- To draw conclusions
- To make predictions
21. A data analyst is someone who does what?
- Designs new products
- Creates new questions using data
- Solves engineering problems
- Finds answers to existing questions by creating insights from data sources
22. What tactics can a data analyst use to effectively blend gut instinct with facts? Select all that apply.
- Use their knowledge of how their company works to better understand a business need.
- Focus on intuition to choose which data to collect and how to analyze it.
- Ask how to define success for a project, but rely most heavily on their own personal perspective.
- Apply their unique past experiences to their current work, while keeping in mind the story the data is telling.
23. To get the most out of data-driven decision-making, it’s important to include insights from people very familiar with the business problem. What are these people called?
- Subject-matter experts
- Customers
- Stakeholders
- Competitors
24. A music streaming service is looking to increase user engagement on their platform. The CEO decides to leverage the company's user data and tasks the data analysts with uncovering unknown trends and characteristics of the companies user base. This strategy is known as what?
- Data analytics decision-making
- Data science decision-making
- Data management decision-making
- Data-driven decision-making
25. You read an interesting article in a magazine and want to share it in the discussion forum. What should you do when posting? Select all that apply.
- Check your post for typos or grammatical errors
- Include your email address for people to send questions or comments
- Make sure the article is relevant to data analytics
- Take credit for creating the article
26. A data scientist is someone who does what?
- Creates new questions using data
- Finds answers to existing questions by creating insights from data sources
- Solves engineering problems
- Solves engineering problems
27. Data analysts act as detectives to uncover clues within the data. Like a detective, a data analyst may use their _______ to solve business problems.
- personal opinion
- rational thought
- gut instinct
- awareness
28. In data-driven decision-making, a data analyst would share their results with subject matter experts and draw conclusions from their analysis. What else would a data analyst do in data-driven decision-making?
- Identification of trends
- Determining the stakeholders.
- Survey customers about results, conclusions, and recommendations
- Gather and analyze data
29. Fill in the blank: _________ is the act of consulting with subject-matter experts about the results of your data analysis.
- Data analytics
- Data science
- Data management
- Data-driven decision-making
30. Data ______ is the collection, transformation, and organization of data in order to draw conclusions, make predictions, and drive informed decision-making.
- science
- analysis
- ecosystem
- life cycle
31. Fill in the blank: The primary goal of a data _____ is to find answers to existing questions by creating insights from data sources.
- engineer
- scientist
- analyst
- designer
32. Sharing your results with subject matter experts and gathering and analyzing data are carried out in data driven-decision-making. What else is included in this process?
- Determining the stakeholders
- Identification of trends
- Drawing conclusions from your analysis.
- Surveying customers about results, conclusions, and recommendations
33. Fill in the blank: The people very familiar with a business problem are called _____. They are an important part of data-driven decision-making.
- subject-matter experts
- customers
- competitors
- stakeholders
34. Fill in the blank: When posting in a discussion forum, you should always check your post for _______ and grammatical errors
- support
- typos
- importance
- popularity
35. Fill in the blank: Hardware, software, and the cloud all interact with each other to store and organize data in a _____.
- cloud environment
- modeling system
- database
- data ecosystem
36. Gut instinct is an intuitive understanding of something with little or no explanation.
- True
- False
37. You have just received the results of your latest analysis about the effectiveness of your firm’s recent marketing campaign. However, because you want to follow data-driven decision-making you share your results with colleagues from the marketing department for their validation. In this role, these colleague’s are acting as what?
- competitors
- subject-matter experts
- customers
- stakeholders
38. Finding answers to existing questions by creating insights from data sources is the primary goal of a data analyst.
- True
- False
39. Fill in the blank: In data science, ________ is when a data analyst uses their unique past experiences to understand the story the data is telling.
- rational thought
- gut instinct
- awareness
- personal opinion
40. The objective of data analysis is to draw conclusions, make predictions, and drive informed decision-making. In order to do this, a data analyst must do which of the following with data? Select all that apply.
- Organize it
- Transform it
- Collect it
- Sell it
41. Fill in the blank: Data ecosystems are made up of elements that _____ with each other. This makes it possible for them to produce, manage, store, organize, analyze, and share data.
- interact
- unite
- gain insights
- problem-solve
42. Fill in the blank: The primary goal of a data _____ is to create new questions using data, instead of analyzing data to find answers to existing questions.
- designer
- scientist
- engineer
- analyst
43. Fill in the blank: The terms _____ are defined as an intuitive understanding of something with little or no explanation. Select all that apply.
- awareness
- gut instinct
- personal opinion
- rational thought
44. A data analyst at Billings Upholstery is trying to find more environmentally friendly way to produce furniture. The data analyst gathers relevant data, analyzes it, and uses it to draw conclusions. Then they share this analysis with subject-matter experts in manufacturing. Once the subject-matter experts have reviewed the analysis, a plan is put into action. What process does this scenario describe?
- Customer service
- Data science
- Data-driven decision-making
- Identification of trends
45. Fill in the blank: A collection of elements that interact with one another to produce, manage, store, organize, analyze, and share data is known as a data ______ .
- environment
- model
- cloud
- ecosystem
46. In data-driven decision-making, a person who is very familiar with the business problem is known as a subject-matter expert.
- True
- False
47. Fill in the blank: When posting in a discussion forum, you should make sure that any articles discussed are _______ to data analytics.
- popular
- unique
- well known
- relevant
48. As a data analyst, you finish analyzing the latest marketing data. If you are following the data-driven decision making process, what should you do next?
- Survey customers about results, conclusions, and recommendations
- Create a model based on the results of the analysis
- Share the results with subject-matter experts from the marketing team for their input
- Archive the datasets in order to keep them secure