Computer ethics question: Let's assume CSULB has a student retention department that keeps track of all student majors, along with how well students are progressing through their college careers. Let's also assume that CSULB knows where all students live. Now, let's assume CSULB used that data in an effort to identify whether students from certain areas excel better in certain majors, simply by evaluating the datasets mentioned above. This would be an example of what type of data science practice? Answer Choices: data merging data matching data mining
Computer ethics question:
Let's assume CSULB has a student retention department that keeps track of all student majors, along with how well students are progressing through their college careers. Let's also assume that CSULB knows where all students live.
Now, let's assume CSULB used that data in an effort to identify whether students from certain areas excel better in certain majors, simply by evaluating the datasets mentioned above.
This would be an example of what type of data science practice?
Answer Choices:
data merging
data matching data mining
Data science practice is the systematic and multidisciplinary approach to extracting insights, knowledge, and valuable information from data. It involves a series of steps, including data collection, data cleaning, data analysis, and data interpretation, with the ultimate goal of solving complex problems, making informed decisions, and uncovering hidden patterns or trends. Data scientists use a combination of statistical analysis, machine learning, data visualization, and domain knowledge to extract meaningful insights from vast and often unstructured datasets. These insights can be used for a wide range of applications, from improving business operations and predicting future trends to scientific research and decision-making in various fields.
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