What did you learn about presenting technical skills when you reviewed resumes from other data analysts?Which skills do you think will be most useful for securing a job as a data analyst?What are some additional skills you would include if you had more room on your resume? How might you highlight these skills in other sections?

Which parts of your experience do you think will be most important to securing a job interview?Are there any parts of your experience that might seem less relevant to a data analyst role, but may have given you transferable skills?In what ways do you hope to develop more experience in the future?

When applying to jobs as a data analyst, your resume is often a hiring manager’s first impression of you. Curating the content on your resume is crucial to improving your chances of getting an interview. Prepare to create or improve your own resume by doing the following:Check out resume samples on the internet and other best practices guides for inspirationDescribe how you will apply the successful techniques you find to your own resume

Which of your skills and ways of thinking will help you become a successful data analyst? Why will these skills help you become a successful data analyst?

Question 2Skills such as problem-solving, communication, and storytelling are critical to the role of a Data Analyst. And like most soft skills, you’re either good at them, or you’re not; these skills cannot be acquired over time. 1 pointTrueFalse

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