What should you do when posting? Select all that apply. You read an interesting article in a magazine and want to share it in the discussion forum. Data-driven decision-making is using facts to guide business strategy. Sharing the results of your analysis with people who are familiar with the business problem is an example of data-driven decision-making. Sharing the results of your analysis with colleagues who are very familiar with the business problem supports what practice? Subject-matter experts can offer insights into the business problem, identify inconsistencies in the analysis, and validate the choices being made. * Review the results of data analysis and identify any inconsistencies* * Offer insights into the business problem* * Validate the choices made as a result of the data insights* What do subject-matter experts do to support data-driven decision-making? Select all that apply. This company has put data at the heart of its business strategy in order to achieve data-driven decision-making. The analyst then shares their analysis with subject-matter experts from the manufacturing team, who validate the findings. A data analyst gathers relevant data, analyzes it, and uses it to draw conclusions. Gut instinct is an intuitive understanding of something with little or no explanation.īillings Upholstery has defined a problem it needs to solve: Find a more environmentally friendly way to produce its furniture. * Using your innate ability to analyze results * Manipulating data to match your intuition * Choosing facts that complement your personal experiences * An intuitive understanding of something with little or no explanation* Select the best description of gut instinct. The primary goal of a data analyst is to find answers to existing questions by creating insights from data sources. 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.Learn about key analytical skills (data cleaning, data analysis, data visualization) and tools (spreadsheets, SQL, R programming, Tableau) that you can add to your professional toolbox. Gain an understanding of the practices and processes used by a junior or associate data analyst in their day-to-day job.The quiz answers to Foundations: Data, Data, Everywhere – Coursera Google Data Analytics Professional Certificate Course 1.īy completing the five-week Coursera Google Data Analytics Professional Certificate course Foundations: Data, Data, Everywhere you will:.A summary of Coursera Google Data Analytics Professional Certificate Course 1 – Foundations: Data, Data, Everywhere, and.Coursera Google Data Analytics Professional Certificate Course 1 – Foundations: Data, Data, Everywhere Cliffs Notes covered here:
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