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Practice Data Analytics Languages Questions and Answers

Which of the following features in Power BI allows for dynamically filtering data across multiple visuals with a single control element?
A data analyst is tasked with improving operational efficiency by examining employee performance metrics and identifying bottlenecks. Which of the followin...
In the context of the data analysis process, what is the main purpose of the "modeling" stage?
When identifying business problems, what is the first step a data analyst should take to ensure clarity and effectiveness in solving the problem?
Which of the following methods is most commonly used during data wrangling to handle missing values in a dataset?
What is the main advantage of using data storytelling in presenting data-driven insights?
Which of the following statements correctly differentiates between continuous and categorical data?
Which of the following is an example of semi-structured data ?
What is the difference between samples and populations in data analysis?
What is the primary difference between Big Data and traditional data ?
Why is metadata crucial in the management of data?
Why is sampling commonly used in data analysis, especially when dealing with large datasets?
Which of the following best differentiates random sampling from non-random sampling techniques?
Which of the following sampling techniques is most suitable when the population is divided into distinct subgroups, and it is important to ensure each subg...
Which of the following strategies is most effective in avoiding selection bias when choosing a sample for analysis?
Which of the following is not a measure of central tendency?
Which of the following best describes the seasonal component in time series data?
What is the primary advantage of using the ARIMA (AutoRegressive Integrated Moving Average) model for forecasting time series data?
Which of the following is the correct decomposition of time series data into its components?
In the context of time series analysis, the Dickey-Fuller test is used to:
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...

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