Data Science Process Form
Test your knowledge of the data science workflow with this quiz. All questions are related to the steps and concepts in the Data Science Process Form.
Which of the following is typically the first step in the data science process?
*
Data Collection
Model Deployment
Feature Engineering
Model Evaluation
Select all steps that are part of the data preparation phase.
*
Data Cleaning
Data Transformation
Model Training
Data Integration
Other
What is the primary goal of exploratory data analysis (EDA)?
*
To build predictive models
To summarize data characteristics
To deploy models
To collect more data
Rate your confidence in identifying data leakage during model validation.
*
1
2
3
4
5
Match each data science step to its correct description.
*
Rows
Description
Data Collection
Collecting raw information
Identifying missing values
Testing model on unseen data
Presenting results to stakeholders
Data Cleaning
Collecting raw information
Identifying missing values
Testing model on unseen data
Presenting results to stakeholders
Model Evaluation
Collecting raw information
Identifying missing values
Testing model on unseen data
Presenting results to stakeholders
Communication
Collecting raw information
Identifying missing values
Testing model on unseen data
Presenting results to stakeholders
Which evaluation metric is most suitable for an imbalanced classification problem?
*
Accuracy
Precision-Recall
Mean Squared Error
R-Squared
Briefly describe a challenge you have faced in feature engineering.
*
Which tool is commonly used for data visualization in Python?
*
Scikit-learn
Matplotlib
TensorFlow
NLTK
List two common methods for handling missing data in a dataset.
*
Select the correct order of the main steps in a typical data science project.
*
Data Collection → Data Cleaning → Feature Engineering → Model Training → Model Evaluation → Communication
Model Training → Data Collection → Feature Engineering → Data Cleaning → Communication → Model Evaluation
Data Cleaning → Data Collection → Model Evaluation → Feature Engineering → Model Training → Communication
Communication → Model Evaluation → Model Training → Feature Engineering → Data Cleaning → Data Collection
Submit Quiz
Should be Empty: