1) Which of the following is not a common data type in data analytics? a) Numeric b) Text c) Imaginary d) Date and Time 2) What does "Big Data" refer to? a) Any data that is large in physical size b) Extremely complex data c) Data that cannot be analyzed d) Large and complex datasets that are difficult to process with traditional methods 3) Why is data quality important in data management? a) It is not important; any data will suffice. b) High-quality data leads to more accurate decision-making and analysis. c) It only affects data visualization. d) Data quality is only relevant for small datasets. 4) What is data analytics? a) The study of ancient data b) The process of extracting insights from data c) A type of data storage format d) A programming language 5) What is the primary goal of descriptive analytics? a) Predict future outcomes b) Summarize and understand historical data c) Generate actionable recommendations d) Improve data security 6) What is the primary goal of data understanding in the data analytics process? a) Data visualization b) Data cleaning c) Data exploration and familiarization d) Data modeling 7) Which method is used to handle missing data during data understanding? a) Replacing missing values with the mean of the column b) Ignoring missing values c) Encrypting the missing data d) Deleting the entire dataset 8) Which of the following is not a key step in the data analytics and data mining process? a) Data collection b) Data cleaning c) Data visualization d) Data encryption 9) Which of the following is not a common method for data cleaning? a) Removing duplicate records b) Replacing missing values with random numbers c) Correcting data entry errors d) Standardizing data formats 10) What is the term for missing data in a dataset? a) Null values b) Placeholder data c) Ghost data d) Perfect data

Data Analytics Quiz

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