[Thử thách] Học phần 01 - Khóa 01 - Data, Data, Everywhere

To pass 80% or higher

Question 1

Which of the following statements correctly describe data and data analysis? Select all that apply

• Data analysis is creating new ways of understanding the unknown using raw data.
• Data analysis involves collecting, transforming, and organizing data.
• Data is a collection of facts.
• One goal of data analysis is to draw conclusions.

Question 2

Fill in the blank: Data science involves using _____ data to create new ways of modeling and understanding the unknown.

• raw
• transformed
• processed
• clean

Question 3

Which of the following activities are elements of data-driven decision-making? Select all that apply.

• Uncover trends or patterns
• Determine the problem to be solved
• Eliminate information derived from gut instinct
• Analyze data

Question 4

A software company wants to improve its customer experience scores by 3% over the next 30 days. A data professional works to achieve this objective by understanding current scores and how far away they are from desired scores. They then use data insights to help advance the company from where they are now to where they want to be next month. What does this scenario describe?

• Planning
• Future analysis
• Guiding business decisions
• Gap analysis

Question 5

Fill in the blank: Data analysts use a problem-oriented approach in order to _____, describe, and solve problems.

• revise
• identify
• design
• customize

Question 6

Which of the following statements correctly describe analytical thinking? Select all that apply.

• Visualization helps data analysts picture what they want to do with the data and how to be successful.
• Determining the fine points of a plan is an element of detail-oriented thinking.
• If two pieces of data trend in the same direction, they may or may not be correlated.
• Identifying and defining a problem, then solving it by using data in an organized manner describes analytical thinking.

Question 7

A data professional working at a nonprofit prepares for a project about community forestry. They use their analytical thinking skills to determine what they want to achieve with the data. They also prioritize staying focused and on track. Which aspect of analytical thinking does this scenario describe?

• Strategic thinking
• Detail-oriented thinking
• Problem-orientation
• Visualization

Question 8

What is the root cause of a problem?

• The problem’s consequences
• Why the problem occurs
• A symptom of the problem
• The impact of the problem

Question 9

A data professional is assigned a challenging data analysis task. In order to be able to work in an orderly and logical manner, they break down larger, more complex elements into smaller pieces. Which analytical skill does this scenario describe?

• Technical mindset
• Curiosity
• Data design
• Understanding context

Question 10

Which of the following examples demonstrate data-driven decision-making? Select all that apply.

• A dentist’s office uses specifics from patient records to track treatment outcomes and improve quality of care.
• An advertising company relies on the common sense of its copywriting team when creating a new campaign.
• A financial advisor interviews clients to assess their risk tolerance and investment goals in order to create personalized plans.
• A school district uses report cards to track performance and identify areas where students need additional support.