Curiosity, understanding context, having a technical mindset, data design, and data strategy are the 5 essential aspects of __ thinking and skills

Curiosity, understanding context, having a technical mindset, data design, and data strategy are the 5 essential aspects of __ thinking and skillsCuriosity, understanding context, having a technical mindset, data design, and data strategy are the 5 essential aspects of __ thinking and skills drop zone empty.ContextCuriositySensingAnalytical

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.1 pointpersonal insightsanalytical skillsthought processesbusiness skills

Question 8Fill in the blank: In data-driven decision making, data analysts use five analytical skills of curiosity, understanding context, having a technical mindset, data design, and _______ .1 pointforward-lookingefficiencydata strategyintuition

ill in the blank: For a data analyst, curiosity is the analytical skill of seeking out new ______ and experiences in order to gain knowledge.1 pointchallengesstakeholdersinvestmentscolleagues

1.Question 1Fill in the blank: The analytical skill of ______ involves seeking out new experiences in order to gain knowledge. 1 pointdata strategyhaving a technical mindsetcuriosityunderstanding context 2.Question 2Identifying the motivation behind data collection and gathering additional information about are examples of which analytical skill?1 pointA technical mindsetData strategy Understanding contextData design3.Question 3Fill in the blank: A data analyst with a technical mindset would break things down into smaller steps or pieces and work with them in an orderly and ______ way.1 pointcreativecleverlogical curious 4.Question 4Fill in the blank: In data analysis, data strategy involves managing the people, processes, and _____ .1 pointtoolsproceduresconsentprojects5.Question 5Correlation is the aspect of analytical thinking that involves figuring out the specific details that help you execute a plan.1 pointTrueFalse6.Question 6A company has recently tasked their data science team with figuring out what is causing the decline in production at one of their plants. The data analysts ask a number of questions trying to get to the root cause of the problem. This technique is known as what?1 pointStrategizingThe five whys CuriosityInquiry7.Question 7An airport wants to make its luggage-handling process faster and simpler for travelers. A data analyst examines and evaluates how the process works currently in order to achieve the goal of a more efficient process. What methodology do they use? 1 pointThe five whysGap analysis StrategyData visualization8.Question 8Data-driven decision-making involves the five analytical skills: curiosity, understanding context, having a technical mindset, data design, and data strategy. Each plays a role in data-driven decision-making.1 pointTrueFalse