Practice Data Analytics Languages Questions and Answers

• Which of the following functions in Excel is used to combine data from multiple columns into one?
• A financial organization is aiming to reduce operational costs by analyzing transactional data to identify inefficiencies. Which of the following roles sho...
• During the data analysis process, which of the following steps is primarily focused on removing inaccuracies and ensuring the dataset's reliability?
• To help a retail business increase its conversion rate, a data analyst should start by defining which of the following metrics?
• Which of the following techniques is most suitable for handling and organizing an unstructured dataset with textual data?
• A data analyst has generated insights on customer retention trends. To effectively communicate these insights, which of the following techniques would be m...
• A data analyst at a bank is tasked with developing a credit scoring model to assess loan applicants' eligibility. Which of the following statistical method...
• A hospital data analyst is tasked with building a model to predict patient readmission rates based on historical data. Which method should the analyst prio...
• An e-commerce company wants to understand the trend of holiday season sales over the past decade to forecast future sales. Which analysis method should the...
• In developing a fraud detection model for online transactions, a data analyst should use a technique capable of identifying anomalous patterns. Which of th...
• A retailer wants to segment its customers to optimize targeted marketing campaigns. Which of the following approaches would be most effective for customer ...
• A company wants to analyze customer reviews by categorizing them as “Positive,” “Neutral,” or “Negative.” What type of data are these categorie...
• When dealing with data from a social media platform that includes posts, images, and metadata, what type of data format is this dataset classified as?
• Which of the following is an example of an independent variable in a data analysis model that predicts employee productivity based on training hours?
• Which of the following statements best describes the primary difference between big data and traditional data?
• In data management, what role does metadata play when working with a large dataset of customer transactions?
• Which of the following is the primary benefit of using APIs over web scraping for data collection from a website?
• In data cleaning, which technique is most effective in handling outliers in a dataset that could skew analysis?
• When integrating multiple datasets, which approach helps resolve inconsistencies and create uniformity across all data sources?
• Which data transformation technique would be best for converting categorical variables, such as “Gender” (Male, Female), into a format usable in machin...
• To ensure data is accurate and complete before beginning analysis, which data validation technique is most commonly used?
• In data analysis, why is sampling often preferred over analyzing an entire population?
• What is a key difference between random sampling and non-random sampling?
• Which sampling technique is most suitable when a population has distinct subgroups that should be represented proportionally?
• Which method helps to reduce bias when creating a sample from a population for analysis?
• Which of the following factors should primarily determine the sample size in a data analysis project?
• Why is Exploratory Data Analysis (EDA) considered a crucial step in the data analysis process?
• Which measure of central tendency is most appropriate when data has extreme outliers?
• Which type of data visualization is most useful for identifying the relationship between two continuous variables?
• In hypothesis testing, what does a low p-value (e.g., p < 0.05) suggest about the null hypothesis?
• When using descriptive statistics, which measure is best for understanding data variability?
• In time series analysis, which component is best described as the long-term movement in data values that is not affected by seasonal or random fluctuations...
• Which of the following methods is most commonly used for ensuring that time series data is stationary?
• In time series forecasting, which method combines the concepts of autoregression and moving averages with differencing to make non-stationary data stationa...
• Which test is commonly applied in time series analysis to determine whether a series is stationary?
• Which forecasting method is most appropriate for time series data with a consistent trend but no seasonality?
• In Excel, you want to summarize sales data by region and product category, displaying the sum of sales for each combination. Which feature should you use f...
• In SQL, which type of JOIN will return all rows from the left table and the matching rows from the right table, filling with NULLs where there is no match?
• Which Python library is primarily used for data manipulation and analysis, offering tools for reshaping, merging, and aggregating datasets?
• Which statistical language is widely used for performing advanced statistical operations and visualizations, particularly popular in academia and research?