CSF 7.1 Assessment - Data Science as Storytelling

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Which wombat do you most relate to at this moment?

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What does a data scientist do?

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Analyzes and interprets complex data sets

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Which of the following is the best description of data selection? Options: Data scientists have to use all of the data collected when storytelling. Data scientists can choose any smaller part of the data collected when storytelling, as any part of the data will work equally well. Data scientists will definitely introduce bias when selecting a smaller part of the data, as there isn’t any way to eliminate or detect bias. Data scientists choose to use a specific smaller part of the data collected when storytelling, to reduce noise from unimportant details.

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Data scientists choose to use a specific smaller part of the data collected when storytelling, to reduce noise from unimportant details.

Answer explanation

Data selection is an important step in the data analysis process, where data scientists choose a specific subset of data to use for their analysis. This is often done to reduce the amount of noise in the data, by removing irrelevant or unimportant data points.

Choosing a specific subset of data can help to focus the analysis on the most relevant information, and can make it easier to communicate the results of the analysis to others. However, it is important to be aware of the potential for bias when selecting data, and to use appropriate methods to minimize any bias that may be introduced.

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Which of the following tasks is necessary for data storytelling? Options: Use as many words as possible. The information conveyed should be general, not about a specific customer’s problem. Provide multiple viewpoints to show how various stakeholders are affected. Assume the clients understand the problem already and start immediately with the proposed solution.

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Provide multiple viewpoints to show how various stakeholders are affected.

Answer explanation

Data storytelling involves using data to tell a compelling story that conveys a message or insights to the audience. To effectively communicate the story, it is important to consider the needs and perspectives of the audience. Providing multiple viewpoints can help to engage different stakeholders and show how the data and insights are relevant to their interests and concerns.

Using as many words as possible is not necessary for data storytelling, as the goal is to convey the message in a clear and concise manner. The information conveyed should not be general but rather specific to the problem being addressed. Assuming that clients understand the problem already and starting immediately with the proposed solution may lead to confusion and miscommunication.

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What is data noise?

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Random fluctuations or inconsistencies in data that can affect the accuracy of analysis

Answer explanation

Data noise refers to random fluctuations or inconsistencies in data that can affect the accuracy of analysis. It is often caused by errors or interference in data collection, such as measurement errors, environmental factors, or human error. Data noise can make it difficult to identify patterns or trends in data, and can lead to inaccurate or misleading conclusions. Data analysts must be aware of data noise and use appropriate techniques to reduce its impact on their analysis, such as data cleaning, data normalization, and statistical analysis techniques.

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How confident do you feel about this topic?

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Very confident, Mostly confident, Somewhat confident, Not confident at all