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Practice Listening: Multiple Choice, Single Answer ID: #43890 Short Data science
Instructions ›
You will see a video explaining the true purpose of data science. Listen to the recording and answer the multiple-choice question by selecting the correct response. Only one response is correct.

Transcript:

Data science is not about making complicated models. It's not about making awesome visualisations, and it's not about writing code. Science is about using data. To create as much impact as possible for your company. Now impact can be in the form of multiple things. It could be in the form of insights in the form of data products or in the form of product recommendations for a company not to do those things. Then you need tools like making complicated models or data visualisations. Writing code, but essentially as a data scientist, your job is to solve real company problems using data and what kind of tools you use. We don't care.

What is the main goal of data science according to the speaker?

* Listen to the recording and select the correct answer

Result:

AI explanationShows the answer. Tap to open.
Option 4: "Using data to solve real company problems."

Explanation: This option is correct as it aligns perfectly with the main idea presented in the text. The speaker highlights that the essence of data science is to use data to create impact by solving real company problems, which is the core goal of a data scientist.

Option 1: "Creating complicated models."

Explanation: This option is incorrect because the text explicitly states that data science is not about making complicated models. The speaker emphasizes that the focus should be on using data rather than on the complexity of the models.

Option 2: "Developing impressive visualisations."

Explanation: This option is also incorrect as the speaker mentions that data science is not about making awesome visualisations. The main point is that visualisations are not the goal of data science, but rather a tool that may be used.

Option 3: "Writing effective code."

Explanation: This option is incorrect because the speaker clearly states that writing code is not the primary focus of data science. The emphasis is on solving problems with data, not on the coding aspect.

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