Practice Tools And Technologies In Business Analytics (18.4) - Data Science for Business and Decision- Making

Practice: Tools and Technologies in Business Analytics

Lesson 18.4Data Science for Business and Decision- Making

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10 questions

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5 cards from this section. Quick, good the night before a test.
Exercise
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Quiz
4 questions · about 3 min · pass mark 70%. Hints available.
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6 sample questions

Question 1.
Name one tool used for data wrangling.
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Think of Python libraries.
Question 2.
What is the main purpose of visualization tools?
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Consider how graphs help us understand data.
3Question 3.
Which tool is commonly used for data wrangling?
- Tableau
- Pandas
- XGBoost
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Remember, data wrangling is about cleaning data.
4Question 4.
True or False: Visualization tools are only used for presentation after the analysis is complete.
- True
- False
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Consider the role of visuals in communicating throughout data processing.
Question 5.
Consider a scenario where a company decides to implement Tableau for their analytics. They want to create several visual dashboards for different departments. How would they integrate this tool with existing systems?
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Think about data connectivity and the flow from raw data to visualization.
Question 6.
You are tasked with optimizing model deployment for a CRM application. Explain the steps you would take to ensure that your machine learning model remains effective over time.
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Consider how ongoing assessment and updates can impact model performance.

6 more questions in this section. Enroll free to practise them all.