Practice Data Analytics Languages Questions and Answers

• 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?
• Which storage method is most suitable for managing large-scale unstructured data like videos or social media posts?
• A data analyst is tasked with evaluating customer feedback from a population of 1,000,000 survey responses. Why is sampling an essential technique in this ...
• Which of the following is an example of non-random sampling?
• A company divides its employees into departments (e.g., HR, IT, Marketing) and then selects random samples from each department for a satisfaction survey. ...
• How can selection bias be minimized in a survey of employee job satisfaction?
• What factor is the most critical when determining the appropriate sample size for a study?
• If a dataset has a mean significantly higher than the median, which of the following is most likely true?
• Which visualization tool is best suited for creating interactive dashboards with advanced business intelligence capabilities?
• A scatter plot reveals a strong positive linear relationship between two variables. Which of the following is the most appropriate statistical measure to c...
• In hypothesis testing, which of the following best describes the p-value?
• A study estimates the average weight of a population with a 95% confidence interval of (65 kg, 75 kg). What does this mean?
• A company notices an increase in sales every December due to holiday shopping. Which component of time series data does this represent?
• Which of the following forecasting methods is most suitable for data with a linear trend but no seasonality?
• In time series decomposition, which component is removed to achieve stationarity?
• Which test is commonly used to check stationarity in time series data?
• Which of the following scenarios demonstrates an appropriate application of time series analysis?
• You have a dataset with sales data for multiple regions and months. You want to calculate the total sales per region and then filter the regions with total...
• Given the following tables: Orders (OrderID, CustomerID, OrderDate) and Customers (CustomerID, CustomerName, City), what SQL query will return the names of...
• Which Python library is most commonly used to calculate the correlation matrix of a dataset in preparation for predictive modeling?
• In R, which function is used to perform a t-test for comparing the means of two independent samples?