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Practice Data Analytics Languages Questions and Answers

What is the key difference between SQL and NoSQL databases in terms of data storage?
Why is sampling an essential method in data analysis, especially when dealing with large datasets?
Which of the following is the main characteristic that differentiates random sampling from non-random sampling techniques?
Which sampling technique is most appropriate when the population is naturally divided into groups that differ significantly from each other?
Which of the following is the primary reason why bias occurs in sampling?
How is the optimal sample size determined in statistical analysis?
In Exploratory Data Analysis (EDA), which of the following is the primary purpose of using histograms?
Which of the following statements about the mean, median, and mode is true when applied to a dataset with a skewed distribution?
Which of the following is a key advantage of using box plots over histograms for visualizing data?
In hypothesis testing, a p-value of 0.03 indicates that:
Which of the following data visualization tools is specifically designed for creating interactive dashboards for business analytics?
A time series dataset shows monthly sales data for a retail store over the last three years. After performing decomposition, you observe that the residual ...
In time series analysis, the Dickey-Fuller test is used to:
Which of the following forecasting methods would be most suitable for a time series that exhibits both a long-term trend and seasonality?
If a time series exhibits a cyclical pattern that does not follow a fixed period (e.g., economic cycles), which of the following decomposition methods woul...
In time series forecasting, which of the following is true regarding the impact of autocorrelation on the model?
Which of the following is the most appropriate way to handle missing values when performing data analysis in Excel using a Pivot Table?
In SQL, which of the following is the correct syntax for joining three tables—customers, orders, and products—where orders and products share the colum...
In Python, which of the following functions in the Pandas library is used to merge two DataFrames df1 and df2 on a common column id?
Which of the following methods in the Seaborn library is used to create a scatter plot to visualize the relationship between two variables x and y?
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?

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