100 words each

Q1. Discuss the phases where a data analytics team would spend most and least time. Explain why.

Q2. Identify the tools that would be used for data preparation and model building phases and include example of scenarios where they can be used.

Q3. Describe the data types used in R.

Q4. What is meant by hypothesis testing? Define null and alternative hypotheses. Provide examples.

Q5. Define type I and II errors associated with hypothesis testing. Which of the two errors is worse than the other?



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