Practice Data Analytics Languages Questions and Answers

• Which of the following is an example of moving average forecasting?
• A data analyst is tasked with understanding customer churn for a subscription-based business. Which of the following steps should they prioritize immediate...
• Which of the following best defines the role of a data analyst within an organization?
• In defining KPIs for a marketing campaign, what is the most critical aspect a data analyst should ensure?
• What is the most challenging step in the data analysis process and why?
• Which technique best ensures that data storytelling is impactful for business stakeholders?
• Which of the following is the most critical factor for implementing predictive analytics in the finance industry for risk modeling?
• In healthcare, how can trend analysis most effectively enhance patient care?
• Which of the following techniques is most effective for detecting fraud in online transactions?
• What is the primary advantage of customer segmentation in marketing?
• How does supply chain optimization benefit from predictive analytics?
• Which of the following scenarios best exemplifies the use of semi-structured data in an organization?
• What differentiates big data from traditional data in terms of its defining characteristics?
• Which of the following is the most accurate example of metadata?
• How does metadata contribute to effective data management in large-scale data systems?
• What is a key distinction between metadata and primary data in a database context?
• Which data collection method is best suited for obtaining real-time data from a third-party application?
• What is the primary purpose of data cleaning in the data analysis process?
• What is a common method to handle missing data in a dataset?
• Which of the following is an effective method for handling inconsistent data in a merged dataset?
• 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?