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Two Marks Questions (Prepare all questions) Define Business Analytics. What is Big Data? Define Exploratory Data Analysis (EDA). What is Hypothesis Testing? What is the Null Hypothesis? Define Predictive Analytics. What operations can be done while cleaning the data? Mention the two important sources of data. What is data privacy and security? List any four characteristics of data quality. List the 5 V’s of Big Data. Define Data-Driven Decision Making. What is meant by data ethics? Five Marks Questions What are the 5 V’s of Big Data? Explain with examples. Explain in detail the skills of a Business Analyst. Differentiate between Business Intelligence and Data Science. Explain the different types of Analytics. Explain the concept of Data Exploration and Visualization. Differentiate between Business Analysis and Business Analytics. Explain the process of Analytical Decision-Making. State the benefits of Data-Driven Marketing. Explain the different visualization tools. Ten Marks Questions Explain in detail the types of Analytics along with relevant examples. Explain in detail the concept of Data Visualization with different tools and examples. How will you implement customer segmentation, targeting, and positioning in Marketing Analytics? How will you achieve operational excellence using operational analytics? An organization with 1,000 employees is experiencing high turnover rates, with an average annual turnover of 15%. The HR department has collected data on employee demographics, job satisfaction, and performance ratings. Using HR Analytics, how would you analyze this data to identify the root causes of employee turnover and recommend evidence-based strategies to reduce turnover rates? Discuss how "Patient Care Optimization and Healthcare Delivery" can be improved with Analytics. What is Data Visualization? Explain any five types of plots. Explain the major elements of Hypothesis Testing. Define EDA. Discuss the major techniques of EDA and explain the application of EDA. What are the benefits and challenges of Predictive Analytics in Healthcare? What do you mean by Statistical Analysis? Discuss the key components of statistical analysis. What is the role of statistical tools in hypothesis testing? Discuss the Market Analysis and Risk Management in the Agriculture domain.

Bhai hey sagla chatgpt la taak ani revise kar ekda ani bass MG

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@@pranjalkulkarni0506 An organization with 1,000 employees is experiencing high turnover rates, with an average annual turnover of 15%. The HR department has collected data on employee demographics, job satisfaction, and performance ratings. Using HR Analytics, how would you analyze this data to identify the root causes of employee turnover and recommend evidence-based strategies to reduce turnover rates? How will you achieve operational excellence using operational analytics? Discuss how "Patient Care Optimization and Healthcare Delivery" can be improved with Analytics.

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