Accenture Data Science Analyst Interview Questions and Answers

Code to find anagrams in an array of strings

• Iterate through the array of strings

• Sort each string alphabetically

• Check if the sorted strings are equal to identify anagrams

Python list addition allows combining lists using the '+' operator or the extend() method.

• Using '+' operator: list1 + list2 results in a new list combining both.

• Example: [1, 2] + [3, 4] results in [1, 2, 3, 4].

• Using extend() method: list1.extend(list2) modifies list1 in place.

• Example: list1 = [1, 2]; list1.extend([3, 4]) results in list1 being [1, 2, 3, 4].

• List addition does not perform element-wise addition; it c...read more

To analyze the problem of poor performance of certain pizza outlets after the pandemic, start by identifying potential factors and gathering data.

• Identify potential factors such as changes in consumer behavior, supply chain disruptions, or local regulations

• Gather data on sales, customer feedback, employee turnover, and operational costs

• Analyze the data to identify patterns and correlations

• Develop hypotheses and te...read more

PII stands for Personally Identifiable Information. It refers to any data that can be used to identify an individual.

• Examples of PII include name, address, phone number, email address, social security number, driver's license number, passport number, and date of birth.

• PII can also include biometric data such as fingerprints or facial recognition data.

• It is important to protect PII to prevent identity theft and oth...read more

Precision and recall are two metrics used to evaluate the performance of a classification model.

• Precision measures the proportion of true positives among all positive predictions.

• Recall measures the proportion of true positives among all actual positives.

• Both metrics are important in different scenarios, depending on the cost of false positives and false negatives.

• For example, in a medical diagnosis scenario, reca...read more

Variance and standard deviation are measures of spread or dispersion of a dataset.

• Variance is the average of the squared differences from the mean.

• Standard deviation is the square root of variance.

• They are used to understand the distribution of data and to compare different datasets.

• Higher variance or standard deviation indicates more spread or variability in the data.

• Lower variance or standard deviation indicates...read more

Understanding the basics of deep learning and machine learning problems is crucial for data science analysts.

• Deep Learning (DL) involves neural networks with multiple layers, suitable for complex tasks like image recognition.

• Machine Learning (ML) encompasses algorithms that learn from data, such as linear regression for predicting outcomes.

• Example of DL: Convolutional Neural Networks (CNNs) for classifying images ...read more

Proficient in Python with experience in data analysis and visualization.

• Experience in using Python libraries such as Pandas, NumPy, and Matplotlib.

• Ability to write efficient and optimized code for data manipulation and analysis.

• Familiarity with machine learning algorithms and their implementation in Python.

• Experience in web scraping and data extraction using Python.

• Proficient in using Jupyter Notebook for data ana...read more