Data Analytics Program Quiz 2

Data Analytics Quiz 2

Legal First Name

Legal Last Name

1. Why is data collection an essential part of data analytics?

It guarantees that all datasets are free from bias

It helps in making informed decisions based on accurate and relevant information

It eliminates the need for data cleaning and preprocessing

It ensures data is always perfectly structured

2. Which of the following is NOT a common step in data preparation?

Data Cleaning

Data Transformation

Data Integration

Data Corruption

3. In data preprocessing, what is the main purpose of handling missing values?

To prevent errors and improve model accuracy

To randomly fill missing values without analysis

To remove all rows with missing data, regardless of importance

To ensure that the dataset remains unchanged

4. Which of the following best describes database management in data analytics?

Organizing, storing, and retrieving data efficiently

Performing only statistical analysis on data

Generating visual reports from datasets

Using only relational databases for data storage

5. Which data-cleaning method is most appropriate for handling duplicate records?

Replacing missing values with the mean

Removing or merging duplicate records

Encoding categorical variables

Normalization

6. What is the primary purpose of creating summary statistics?

To replace raw data with summarized values

To make datasets smaller for storage efficiency

To eliminate the need for visualizing data

To gain insights into the overall distribution and characteristics of the data

7. Which of the following is a common method for detecting outliers in a dataset?

Principal Component Analysis (PCA)

Z-score or IQR analysis

Mean encoding

Data normalization

8. When integrating multiple data sources, which step is crucial to ensure consistency?

Keeping all original formats without modification

Removing all duplicate values without checking relevance

Data validation and standardization

Avoiding data cleaning to maintain raw values

9. Which statement about data normalization is TRUE?

It scales numeric data to a standard range

It removes missing values from the dataset

It converts all categorical data into numeric values

It increases the complexity of data analysis

10. Which of the following is an example of data preprocessing?

Writing SQL queries for database transactions

Storing data in cloud-based repositories

Designing a user interface for a data analytics dashboard

Transforming raw data into a structured format

Breaking News:

Send a message.

careers

Feedbacks

Data Analytics Program Quiz 2

Our Mentorship Programs

QUICK LINKS

NEED HELP?

CALL US DIRECTLY

MAIL US DIRECTLY

🎉 Join our community.