Pregunta 1 Which of the following options describes data analysis? 1 punto The various elements that interact with one another in order to provide, manage, store, organize, analyze, and share data Creating new ways of modeling and understanding the unknown by using raw data The collection, transformation, and organization of data in order to draw conclusions, make predictions, and drive informed decision-making Using facts to guide business strategy 2. Pregunta 2 In data analytics, what term describes a collection of elements that interact with one another? 1 punto A modelling system The cloud environment A data ecosystem A database 3. Pregunta 3 Fill in the blank: Data _____ involves creating new ways of modeling and understanding the unknown by using raw data. 1 punto science analysis engineering design 4. Pregunta 4 What tactics can a data analyst use to effectively blend gut instinct with facts? Select all that apply. 1 punto Focus on intuition to choose which data to collect and how to analyze it. Ask how to define success for a project, but rely most heavily on their own personal perspective. Use their knowledge of how their company works to better understand a business need. Apply their unique past experiences to their current work, while keeping in mind the story the data is telling. 5. Pregunta 5 A furniture manufacturer wants to find a more environmentally friendly way to make its products. A data analyst helps solve this problem by gathering relevant data, analyzing it, and using it to draw conclusions. The analyst then shares their analysis with subject-matter experts from the manufacturing team, who validate the findings. Finally, a plan is put into action. This scenario describes data science. 1 punto True False 6. Pregunta 6 What do subject-matter experts do to support data-driven decision-making? Select all that apply. 1 punto Collect, transform, and organize data Validate the choices made as a result of the data insights Review the results of data analysis and identify any inconsistencies Offer insights into the business problem

Ans 1) The collection, transformation, and organization of data in order to draw conclusions, make predictions, and drive informed decision-making. Thus, option C is the correct option.

What is data organization?

By classifying the raw data into various categories, data organization is the process of organizing the data. Observations of the various variables are included in this raw data. Data organization includes things like arranging the grades students received for various subjects.

Time spent searching for any information from a data source that hasn't already been organized grows as time goes on and our volume of data expands. To better grasp the idea of and need for data organization, let's take a look at the example below.

Putting the raw data in an understandable order is known as data organization. Classification, frequency distribution charts, picture representations, graphical representations, and other methods of data organization are all used.

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