Practice Tools and Technologies in Business Analytics - 18.4 | 18. Data Science for Business and Decision- Making | Data Science Advance
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18.4 - Tools and Technologies in Business Analytics

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Learning

Practice Questions

Test your understanding with targeted questions related to the topic.

Question 1

Easy

Name one tool used for data wrangling.

💡 Hint: Think of Python libraries.

Question 2

Easy

What is the main purpose of visualization tools?

💡 Hint: Consider how graphs help us understand data.

Practice 4 more questions and get performance evaluation

Interactive Quizzes

Engage in quick quizzes to reinforce what you've learned and check your comprehension.

Question 1

Which tool is commonly used for data wrangling?

  • Tableau
  • Pandas
  • XGBoost

💡 Hint: Remember, data wrangling is about cleaning data.

Question 2

True or False: Visualization tools are only used for presentation after the analysis is complete.

  • True
  • False

💡 Hint: Consider the role of visuals in communicating throughout data processing.

Solve 2 more questions and get performance evaluation

Challenge Problems

Push your limits with challenges.

Question 1

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?

💡 Hint: Think about data connectivity and the flow from raw data to visualization.

Question 2

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.

💡 Hint: Consider how ongoing assessment and updates can impact model performance.

Challenge and get performance evaluation