Weekly Challenge 1

Question 7 A data analyst finishes analyzing data for a marketing project. The results are clear, so they present findings and recommendations to the client. What should they have done before that presentation? A) Shared the results with subject-matter experts from the marketing team for their input B) Created a model based on the results of the analysis C) Archived the datasets in order to keep them secure D) Surveyed customers about results, conclusions, and recommendations

A) Shared the results with subject-matter experts from the marketing team for their input Including insights from people who are familiar with the business problem is an example of data-driven decision-making.

Question 2 In data analytics, a model is a group of elements that interact with one another. A) True B) False

B) False In data analytics, a data ecosystem is a group of elements that interact with one another.

Question 1 Which of the following options describes data analysis? A) Creating new ways of modeling and understanding the unknown by using raw data B) The collection, transformation, and organization of data in order to draw conclusions, make predictions, and drive informed decision-making C)The various elements that interact with one another in order to provide, manage, store, organize, analyze, and share data D)Using facts to guide business strategy

B) The collection, transformation, and organization of data in order to draw conclusions, make predictions, and drive informed decision-making Data analysis is the collection, transformation, and organization of data in order to draw conclusions, make predictions, and drive informed decision-making.

Question 6 To get the most out of data-driven decision-making, it's important to include insights from people very familiar with the business problem. Identify what these people are called. A)Stakeholders B) Competitors C) Customers D) Subject-matter experts

D) Subject-matter experts Subject-matter experts are very familiar with the business problem and can look at the results of data analysis to validate the choices being made.

Question 4 Select the best description of gut instinct. A) An intuitive understanding of something with little or no explanation B) Choosing facts that complement your personal experiences C) Manipulating data to match your intuition D)Using your innate ability to analyze results

A) An intuitive understanding of something with little or no explanation Gut instinct is an intuitive understanding of something with little or no explanation.

Question 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? A) Data-driven decision-making B) Data science C) Identification of trends D) Customer service

A) Data-driven decision-making This company has put data at the heart of its business strategy in order to achieve data-driven decision-making.

Question 3 Fill in the blank: Data _____ involves creating new ways of modeling and understanding the unknown by using raw data. A) science B) design C) engineering D) analysis

D) analysis