Dragnet Data Analysis/Data Science Skill Test

About the Prep Pack

This updated 2025 Dragnet Data Analysis/Data Science Skill Test Prep Pack is built for professionals applying to data-driven roles in banks, oil & gas, telecoms, fintech, and public service where Dragnet conducts technical screening.

From Excel data modeling to Python-based analysis, statistics, SQL, and business intelligence logic, this pack is your ultimate prep tool for scoring high in the Dragnet Data Assessment.

Whether you’re applying as a Data Analyst, Data Scientist, or BI Developer, this pack provides all the tools you need to pass with confidence.

What You’ll Get

•  100+ Dragnet-style data analysis & logic questions

•  Excel-based data interpretation & formula-based calculations

•  SQL queries & result prediction

•  Python & R for data cleaning and transformation

•  Business statistics & probability

•  Data visualization concepts (e.g., dashboards, chart types, KPI interpretation)

•  Real-world case analysis with answers

•  Step-by-step solutions and expert tips

 Why This Pack Works

•  Focused on Dragnet’s actual test formats and logic

•  Ideal for roles requiring analytics, modeling, and insight generation

•  Boosts speed with practical exercises, not just theory

•  Free lifetime updates for future versions

Sample Questions and Answers

1. Which Excel function returns the average of values that meet a condition?

A. AVERAGE
B. MEANIF
C. AVERAGEIF
D. IFAVERAGE

Answer: C. AVERAGEIF
Explanation: AVERAGEIF(range, criteria, [average_range]) calculates conditional averages.

2. What does this SQL query return?

A. Employees with more than 10 years of service
B. Departments with more than 10 employees
C. Employee IDs
D. Total employees

Answer: B. Departments with more than 10 employees
Explanation: GROUP BY + HAVING filters groups with count > 10.

3. In a dataset, which metric is most sensitive to outliers?

A. Median
B. Mode
C. Mean
D. Range

Answer: C. Mean
Explanation: The mean is heavily influenced by extreme values.

4. What Python function is used to remove duplicates from a DataFrame column?

A. .drop()
B. .remove_duplicates()
C. .unique()
D. .drop_duplicates()

Answer: D. .drop_duplicates()
Explanation: .drop_duplicates() removes duplicate rows or column values.

5. Which chart is best for visualizing parts of a whole?

A. Line chart
B. Bar chart
C. Pie chart
D. Scatter plot

Answer: C. Pie chart
Explanation: Pie charts show proportional parts of a dataset.

6. What is the probability of getting a 4 in a single roll of a fair 6-sided die?

A. 1/3
B. 1/6
C. 1/2
D. 1/4

Answer: B. 1/6
Explanation: Each side has an equal 1 in 6 chance.

7. Which Python library is commonly used for data visualization?

A. TensorFlow
B. Pandas
C. NumPy
D. Matplotlib

Answer: D. Matplotlib
Explanation: Matplotlib is widely used for plots, charts, and graphs.

8. A company had 500 sales in January and 600 in February. What is the percentage increase?

A. 20%
B. 25%
C. 16.6%
D. 10%

Answer: B. 20%
Explanation: (600 – 500) / 500 × 100 = 20%

9. What is the main goal of regression analysis?

A. Group data into clusters
B. Predict numerical outcomes
C. Classify data
D. Reduce dimensions

Answer: B. Predict numerical outcomes
Explanation: Regression is used for forecasting continuous values.

10. What does ETL stand for in data engineering?

A. Extract, Transform, Load
B. Evaluate, Train, Launch
C. Enter, Trace, Link
D. Execute, Track, List

Answer: A. Extract, Transform, Load
Explanation: ETL is the data pipeline used in analytics systems.

Ideal For:

• Data Analysts & Data Scientists

• BI Analysts and Data Engineers

• Graduate Trainees and Entry-to-Mid Level Analysts

• Candidates preparing for Dragnet-administered data tests

Ready to prove your data skills?
Download the Dragnet Data Analysis / Data Science Skill Test Pack now and practice with real test questions, expert walkthroughs, and practical case logic.