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Data Science Interview Challenge
course content

Course Content

Data Science Interview Challenge

Data Science Interview Challenge

1. Python
IntroductionChallenge 1: List ComprehensionChallenge 2: String ManipulationChallenge 3: Dictionary ManipulationChallenge 4: Nested LoopsChallenge 5: ClassesTheoretical Questions
2. NumPy
Challenge 1: Array CreationChallenge 2: Array ManipulationChallenge 3: Statistical InsightsChallenge 4: Handling Missing ValuesChallenge 5: Subarray SortingTheoretical Questions
3. Pandas
Challenge 1: DataFrame CreationChallenge 2: Data GroupingChallenge 3: Indexing and MultiIndexingChallenge 4: Altering DataFrameChallenge 5: Iterating Over DataTheoretical Questions
4. Matplotlib
Challenge 1: Fundamentals of PlottingChallenge 2: Other Graph TypesChallenge 3: SubplotsChallenge 4: Customizing PlotsChallenge 5: Adding Text to PlotsTheoretical Questions
5. Seaborn
Challenge 1: Visualizing DistributionsChallenge 2: Exploring Categorical DataChallenge 3: Relational PlotsChallenge 4: Regression PlotsChallenge 5: Matrix PlotsTheoretical Questions
6. Statistics
Challenge 1: Probabilities and DistributionsChallenge 2: Bayes' TheoremChallenge 3: Hypothesis TestingChallenge 4: Confidence IntervalsChallenge 5: CorrelationTheoretical Questions
7. Scikit-learn
Challenge 1: Data ScalingChallenge 2: Basic Model CreationChallenge 3: PipelinesChallenge 4: Cross-validationChallenge 5: Hyperparameter TuningTheoretical Questions

bookTheoretical Questions

1. How does the `hue` parameter in Seaborn functions enhance your visualizations?
2. In Seaborn's `displot()`, what happens if you set the `kde` parameter to `True`?
3. When visualizing correlations between multiple variables in a dataset, which Seaborn function might you use?
4. Which Seaborn function would you use to visualize the central tendency of a distribution with the spread of the data?
5. What is the primary difference between `sns.lmplot()` and `sns.regplot()`?
6. Which of the following Seaborn functions is specifically designed to show pairwise differences in a categorical variable distribution using scatter or line plots?
7. How does Seaborn relate to Matplotlib?
8. In what scenario might you choose Seaborn over Matplotlib for your visualizations?
9. When dealing with a large dataset, which library is generally more performance optimized?
10. Why might one use Matplotlib directly when working with Seaborn?
11. How can you adjust the style of a Seaborn plot?
12. Which statement is true regarding the customization and flexibility of Matplotlib and Seaborn?
How does the `hue` parameter in Seaborn functions enhance your visualizations?

How does the hue parameter in Seaborn functions enhance your visualizations?

Select the correct answer

In Seaborn's `displot()`, what happens if you set the `kde` parameter to `True`?

In Seaborn's displot(), what happens if you set the kde parameter to True?

Select the correct answer

When visualizing correlations between multiple variables in a dataset, which Seaborn function might you use?

When visualizing correlations between multiple variables in a dataset, which Seaborn function might you use?

Select the correct answer

Which Seaborn function would you use to visualize the central tendency of a distribution with the spread of the data?

Which Seaborn function would you use to visualize the central tendency of a distribution with the spread of the data?

Select the correct answer

What is the primary difference between `sns.lmplot()` and `sns.regplot()`?

What is the primary difference between sns.lmplot() and sns.regplot()?

Select the correct answer

Which of the following Seaborn functions is specifically designed to show pairwise differences in a categorical variable distribution using scatter or line plots?

Which of the following Seaborn functions is specifically designed to show pairwise differences in a categorical variable distribution using scatter or line plots?

Select the correct answer

How does Seaborn relate to Matplotlib?

How does Seaborn relate to Matplotlib?

Select the correct answer

In what scenario might you choose Seaborn over Matplotlib for your visualizations?

In what scenario might you choose Seaborn over Matplotlib for your visualizations?

Select the correct answer

When dealing with a large dataset, which library is generally more performance optimized?

When dealing with a large dataset, which library is generally more performance optimized?

Select the correct answer

Why might one use Matplotlib directly when working with Seaborn?

Why might one use Matplotlib directly when working with Seaborn?

Select the correct answer

How can you adjust the style of a Seaborn plot?

How can you adjust the style of a Seaborn plot?

Select the correct answer

Which statement is true regarding the customization and flexibility of Matplotlib and Seaborn?

Which statement is true regarding the customization and flexibility of Matplotlib and Seaborn?

Select the correct answer

Everything was clear?

How can we improve it?

Thanks for your feedback!

Section 5. Chapter 6
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