Menu iconMenu iconData Analysis Foundations with Python
Data Analysis Foundations with Python

Quiz for Part I: Setting the Stage

Multiple Choice Questions

  1. Which of the following sectors does NOT typically employ data analysis?  
    • a) Healthcare
    • b) Finance
    • c) Fast-food
    • d) Marketing
  2. What makes Python suitable for data analysis?
    • a) Readability
    • b) Rich Libraries
    • c) Community Support
    • d) All of the above
  3. Which Python library is commonly used for data manipulation and analysis?
    • a) TensorFlow
    • b) Pandas
    • c) PyTorch
    • d) Matplotlib
  4. What is the first stage in the data analysis process?
    • a) Data Cleaning
    • b) Model Evaluation
    • c) Data Collection
    • d) Problem Definition
  5. What is the term for a model that performs well on the training data but poorly on unseen data?
    • a) Underfitting
    • b) Overfitting
    • c) Just right fitting
    • d) No fitting

Multiple Choice Questions

  1. Which of the following sectors does NOT typically employ data analysis?  
    • a) Healthcare
    • b) Finance
    • c) Fast-food
    • d) Marketing
  2. What makes Python suitable for data analysis?
    • a) Readability
    • b) Rich Libraries
    • c) Community Support
    • d) All of the above
  3. Which Python library is commonly used for data manipulation and analysis?
    • a) TensorFlow
    • b) Pandas
    • c) PyTorch
    • d) Matplotlib
  4. What is the first stage in the data analysis process?
    • a) Data Cleaning
    • b) Model Evaluation
    • c) Data Collection
    • d) Problem Definition
  5. What is the term for a model that performs well on the training data but poorly on unseen data?
    • a) Underfitting
    • b) Overfitting
    • c) Just right fitting
    • d) No fitting

Multiple Choice Questions

  1. Which of the following sectors does NOT typically employ data analysis?  
    • a) Healthcare
    • b) Finance
    • c) Fast-food
    • d) Marketing
  2. What makes Python suitable for data analysis?
    • a) Readability
    • b) Rich Libraries
    • c) Community Support
    • d) All of the above
  3. Which Python library is commonly used for data manipulation and analysis?
    • a) TensorFlow
    • b) Pandas
    • c) PyTorch
    • d) Matplotlib
  4. What is the first stage in the data analysis process?
    • a) Data Cleaning
    • b) Model Evaluation
    • c) Data Collection
    • d) Problem Definition
  5. What is the term for a model that performs well on the training data but poorly on unseen data?
    • a) Underfitting
    • b) Overfitting
    • c) Just right fitting
    • d) No fitting

Multiple Choice Questions

  1. Which of the following sectors does NOT typically employ data analysis?  
    • a) Healthcare
    • b) Finance
    • c) Fast-food
    • d) Marketing
  2. What makes Python suitable for data analysis?
    • a) Readability
    • b) Rich Libraries
    • c) Community Support
    • d) All of the above
  3. Which Python library is commonly used for data manipulation and analysis?
    • a) TensorFlow
    • b) Pandas
    • c) PyTorch
    • d) Matplotlib
  4. What is the first stage in the data analysis process?
    • a) Data Cleaning
    • b) Model Evaluation
    • c) Data Collection
    • d) Problem Definition
  5. What is the term for a model that performs well on the training data but poorly on unseen data?
    • a) Underfitting
    • b) Overfitting
    • c) Just right fitting
    • d) No fitting