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?