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Practice Data Analytics Languages Questions and Answers

Which of the following R functions is used to perform a t-test for comparing the means of two independent samples?
Which of the following is a primary advantage of using Tableau for building interactive dashboards?
In the context of risk modeling for credit scoring, which of the following factors is least likely to be used in predicting a person’s creditworthiness?...
Which of the following best describes the main objective of predictive analytics in healthcare, particularly in the context of improving patient care?
When performing trend analysis for forecasting sales, which of the following methods is most commonly used to identify future trends based on historical da...
Which of the following is the most effective data collection method for gathering real-time data from a website or application?
Which of the following is a key difference between structured and unstructured data?
Which of the following best explains why sampling is used in data analysis?
Which of the following is the key difference between probability-based and non-probability-based sampling techniques?
Which sampling technique involves dividing the population into mutually exclusive subgroups and then randomly selecting samples from each subgroup?
To reduce bias in a sampling process, which of the following strategies is most effective?
Which of the following is the primary purpose of exploratory data analysis (EDA)?
In exploratory data analysis (EDA), which of the following is the primary goal?
In descriptive statistics, which of the following measures is least affected by extreme values (outliers)?
Which of the following statements best describes the role of data visualization in data analysis?
Which of the following methods is most appropriate for forecasting future values in time series data with a consistent trend and seasonality?
Which of the following methods is used to ensure stationarity in time series data, a critical prerequisite for ARIMA modeling?
Which of the following Excel functions is most appropriate for dynamically summarizing data from multiple tables by matching a key value?
In SQL, which of the following best describes the role of a subquery within a SELECT statement?
Which of the following Python libraries is most suitable for handling large datasets efficiently and performing complex data manipulations?
Which visualization library in R is most effective for creating interactive, web-based data visualizations?
A retail company is experiencing declining sales despite increasing website traffic. Which of the following steps best aligns with a data analyst's respons...
You are tasked with analyzing sales data from multiple sources for a quarterly report. The raw data contains missing values and duplicate records. What sho...
A company wants to reduce its high customer churn rate. As a data analyst, which metric is most important to focus on during your initial analysis?
You are combining sales data from three different sources, each with slightly different column names for the same information (e.g., "Product_ID," "ProdID,...
A team leader requests a dashboard to display key performance indicators (KPIs) for the sales department. What is the most important consideration when des...
A hospital uses a data-driven approach to improve patient care. They identify that patients with similar conditions respond differently to treatments based...
A retail chain wants to predict next month's sales based on historical data and seasonal trends. Which of the following methods is the most suitable for th...
A company notices a sudden spike in product returns during a specific quarter. Which type of analysis should be conducted to identify the root cause and pr...
A bank notices unusual activity in a customer’s account, such as multiple large withdrawals in a short period. What is the most appropriate technique to ...
A marketing team wants to segment customers based on their purchasing frequency and average transaction value. Which framework is most appropriate for this...
A company is analyzing customer feedback to classify it into two groups: "Positive" and "Negative." What type of data and analysis is being employed?
Which of the following is an example of semi-structured data?
In a machine learning experiment, the company wants to predict future sales based on advertising spend. What is the dependent variable in this scenario?
Which characteristic best distinguishes big data from traditional data?
Which of the following is the best example of metadata in a database system?
A company wants to analyze customer sentiment about their new product by extracting data from Twitter. Which data collection method is most appropriate for...
You receive a dataset with missing values in multiple columns. What is the most effective approach to handle these missing values?
A dataset contains "USA," "United States," and "U.S." as country entries. What is the best way to resolve these inconsistencies?
Which technique is most appropriate to handle skewed numerical data in a dataset?

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