![]() In data analytics, what term describes a collection of elements that interact with one another?ĭata ecosystems are made up of elements that interact to produce, manage, store, organize, analyze, and share data.įill in the blank: The primary goal of a data _ is to find answers to existing questions by creating insights from data sources. What do data analysts do during the ask phase? They ask effective questions and collaborate with leaders and managers to define the business challenge and project objectives.Ħ) Act: Answers to week 1 quiz questionsĭata analysis is the various elements that interact with one another in order to provide, manage, store, organize, analyze, and share data.ĭata analysis is the collection, transformation, and organization of data in order to draw conclusions, make predictions, and drive informed decision-making. The data analysis process phases are ask, prepare, process, analyze, share, and act. Other variations of the data analysis life cycle include: EMC’s data analysis life cycle, SAS’ iterative life cycle, Project-based data analytics life cycle, Big data analytics life cycle, and Data life cycle based on research. Share: Communicating and interpreting resultsĪct: Putting your insights to work to solve the problem Prepare: Data generation, collection, storage, and data managementĪnalyze: Data exploration, visualization, and analysis Google’s data analysis life cycle model is comprised of six steps applicable to any data analysis.Īsk: Business Challenge/Objective/Question The data analysis life cycle is the process of going from data to decision. You may also be interested in Google Data Analytics Professional Certificate quiz answers. Week 5: Discovering data career possibilities.Week 3: Exploring the wonderful world of data.Explore job opportunities available to you upon program completion, and learn about best practices in the job search.Conduct an analytical thinking self-assessment.Evaluate the role of analytics in the data ecosystem.Discover a wide variety of terms and concepts relevant to the role of a junior data analyst, such as the data life cycle and the data analysis process. ![]()
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