Reference no: EM133247844

Assignment:

Question 1. Data analytics are the various elements that interact with each other to provide, manage, store, organize, analyze and share data.

• Real
• False

Question 2. In data analysis, a model is a group of elements that interact with each other.

• Real
• False

Question 3. Fill the gap: _____ of data involves creating new ways to model and understand the unknown using raw data .

• science
• engineering
• analysis
• design

Question 4. Fill in the gap: The term _____ is defined as an intuitive understanding of something with little or no explanation.

• instinct
• personal opinion
• conscience
• rational thought

Question 5. Billings Upholstery has defined a problem that needs to be solved: finding a more eco-friendly way to produce the furniture it makes. A data analyst gathers relevant data, analyzes it, and uses it to draw conclusions. The analyst then shares his analysis with subject matter experts on the manufacturing team, who validate the findings. Finally, a plan is put into action. This scenario describes which process?

• data science
• Data-driven decision making
• Customer service
• Identification of trends

Question 6. Fill in the blank: People who are very familiar with a business problem are called _____. They are an important part of data-driven decision making.

• competitors
• customers
• interested parts
• subject matter experts

Question 7. A data analyst finishes analyzing data for a marketing project. The results are clear, so he presents the findings and recommendations to the client. What should he have done before this performance?

• Conducted a customer survey on results, conclusions and recommendations
• Archived datasets to keep them safe
• Shared results with subject matter experts on the marketing team to receive input from them
• Created a model based on the analysis results

Question 8. You read an interesting article in a magazine and you want to share it in the discussion forum. What do you need to do when posting? Select all applicable options.

• Include your email address for people to send questions or comments.
• Take credit for creating the article.
• Check the post for typos or grammatical errors
• Check if the article is relevant to the topic of data analysis.