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?