1) What is data analytics? a) A process of inspecting, cleaning, transforming, and modeling data with the goal of discovering useful information, informing conclusions, and supporting decision-making. b) A way to store data in a database. c) A way to visualize data. d) A way to analyze data. 2) What are the different types of data analytics? a) Descriptive, predictive, and prescriptive. b) Univariate, bivariate, and multivariate. c) Time series, cross-sectional, and panel. d) Qualitative and quantitative. 3) What are some of the benefits of data analytics? a) Improved decision-making, increased customer insights, reduced costs, and increased innovation. b) Better understanding of the market, improved customer service, and increased employee productivity. c) Faster time to market, improved product quality, and increased customer satisfaction. d) All of the above. 4) What are some of the future trends in data analytics? a) The rise of big data and the Internet of Things. b) The increasing use of artificial intelligence and machine learning. c) The growing importance of data ethics and privacy. d) All of the above. 5) What are some of the challenges of data analytics? a) Data quality, data volume, data velocity, and data variety. b) Lack of data skills, lack of data infrastructure, and lack of data governance. c) Data privacy, data security, and data bias. d) All of the above.

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