Which of the following best describes the goal of developing an analytics mindset:Question 4Answera.perform basic analysis to understand the quality of the underlying data and its ability to address the business questionb.comprehend the process needed to clean and prepare the data before analysisc.recognize what is meant by data quality, be it completeness, reliability or validityd.recognize when and how data analytics can address business questions

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

0:00[MUSIC] With this course, you'll become an expert on strategic business analytics. As we'll explain later, we'll help you develop four sets of skills needed to leverage value from data. Analytics, IT, Business, and Communication.Play video starting at ::25 and follow transcript0:25We'll discuss a wide variety of examples from the business world. Different functions such as marketing or supply chain, and different sectors such as the telecommunications sector, the retail sector, the public sector, and so on. In order to analyze the related data. We'll present different techniques, use the strategic business analytics. How to find groups of similar and dissimilar observations. How to find relationships between causes and consequences. How to make forecasts, and how to make all those techniques relevant for your business.Play video starting at :1:4 and follow transcript1:04Actually, we will pay special attention to the business aspect of those questions.Play video starting at :1:9 and follow transcript1:09What is the actual problem we want to solve? And how can we make our conclusions really convincing, actionable, and efficient?Play video starting at :1:19 and follow transcript1:19At the end of each module, there will be a recital of the different techniques for helping you to wrap up the tools and techniques presented during this module.Play video starting at :1:31 and follow transcript1:31There will be then a quiz to complete. For the last module, we will require you to produce a business level output of your analysis that will be evaluated by the other partic

The simple definition of analytics is the science of analyzing raw data in order to identify patterns or conclusions from the data.Question 6AnswerTrueFalse

How should an organization ensure that its business analytics initiatives are on the right track?  A. By avoiding the measurement of outcomes.  B. Establishing clear metrics and KPIs to gauge the success.  C. Solely relying on anecdotal feedback.  D. Assessing success based only on financial gains.

Which of the following describes using data analytics to inform business operations?answerRaw data analysisMarket analysisData-driven business decisionsResearch analysis