Last Updated: Aug 16, 2026
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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Data Acquisition and Preprocessing | 30% | - Data cleaning and validation
|
| Topic 2: Data Exploration and Statistical Analysis | 25% | - Inferential statistics
|
| Topic 3: Data Modeling and Machine Learning Basics | 20% | - Supervised learning fundamentals
|
| Topic 4: Data Visualization and Communication | 15% | - Visualization with Matplotlib and Seaborn
|
| Topic 5: SQL and Database Integration | 10% | - Python-database connectivity
|
1. What does a Pearson correlation coefficient value of -0.9 imply about the relationship between two numerical variables?
A) A moderate non-linear association
B) A weak positive relationship
C) No correlation
D) A strong negative linear relationship
2. When analyzing a dataset of customer ages, you calculate the mean, median, and mode. What does it indicate if all three values are approximately equal?
A) The dataset has a normal distribution
B) The dataset contains outliers
C) The dataset is positively skewed
D) The dataset is uniformly distributed
3. What will the following function return?
def average(*args):
return sum(args) / len(args)
average(4, 5, 6)
A) 15
B) 5.0
C) (4, 5, 6)
D) Error
4. Which of the following would best validate the uniqueness of a primary key in a Pandas DataFrame?
A) df['id'].fillna()
B) df['id'].duplicated().any()
C) df['id'].isnull().sum()
D) df['id'].nunique()
5. What is a best practice when organizing data in a spreadsheet for analysis?
A) Place charts in the middle of data tables
B) Use consistent column headers across all sheets
C) Merge cells to reduce redundancy
D) Apply conditional formatting to entire rows only
Solutions:
| Question # 1 Answer: D | Question # 2 Answer: A | Question # 3 Answer: B | Question # 4 Answer: B | Question # 5 Answer: B |
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