Foundations for Data Science Criteria Points Question 1 Find the summary statistics for numerical columns and observations. (use describe function) 4 Question 2 observations on the acceptance rate for each campaign 4 Question 3 observations on acceptance rate for each campaign according to the income level 7 Question 4 Write the code and your observations on average amount spent on different products across all campaigns 7 Question 5 Write the code and your observations on average number of purchases from different channels across all campaigns 7 Question 6 Write the code and your observations on percentage acceptance for different categorical variables across all campaigns 7 Question 7 Write the code and your observations on the percentage amount spent on different products for each category of the mentioned categorical variables 7 Question 8 observations on percentage purchases from different channels for different categories of the income_cat column 4 Question 9 Find the correlation matrix for the columns mentioned below and visualize the same using heatmap 3 Question 10 Based on your analysis, write the conclusions and recommendations for the CMO to help make the next marketing campaign strategy 10Foundations for Data Science Criteria Points Question 1 Find the summary statistics for numerical columns and observations. (use describe function) 4 Question 2 observations on the acceptance rate for each campaign 4 Question 3 observations on acceptance rate for each campaign according to the income level 7 Question 4 Write the code and your observations on average amount spent on different products across all campaigns 7 Question 5 Write the code and your observations on average number of purchases from different channels across all campaigns 7 Question 6 Write the code and your observations on percentage acceptance for different categorical variables across all campaigns 7 Question 7 Write the code and your observations on the percentage amount spent on different products for each category of the mentioned categorical variables 7 Question 8 observations on percentage purchases from different channels for different categories of the income_cat column 4 Question 9 Find the correlation matrix for the columns mentioned below and visualize the same using heatmap 3 Question 10 Based on your analysis, write the conclusions and recommendations for the CMO to help make the next marketing campaign strategy 10Foundations for Data Science Criteria Points Question 1 Find the summary statistics for numerical columns and observations. (use describe function) 4 Question 2 observations on the acceptance rate for each campaign 4 Question 3 observations on acceptance rate for each campaign according to the income level 7 Question 4 Write the code and your observations on average amount spent on different products across all campaigns 7 Question 5 Write the code and your observations on average number of purchases from different channels across all campaigns 7 Question 6 Write the code and your observations on percentage acceptance for different categorical variables across all campaigns 7 Question 7 Write the code and your observations on the percentage amount spent on different products for each category of the mentioned categorical variables 7 Question 8 observations on percentage purchases from different channels for different categories of the income_cat column 4 Question 9 Find the correlation matrix for the columns mentioned below and visualize the same using heatmap 3 Question 10 Based on your analysis, write the conclusions and recommendations for the CMO to help make the next marketing campaign strategy 10Foundations for Data Science Criteria Points Question 1 Find the summary statistics for numerical columns and observations. (use describe function) 4 Question 2 observations on the acceptance rate for each campaign 4 Question 3 observations on acceptance rate for each campaign according to the income level 7 Question 4 Write the code and your observations on average amount spent on different products across all campaigns 7 Question 5 Write the code and your observations on average number of purchases from different channels across all campaigns 7 Question 6 Write the code and your observations on percentage acceptance for different categorical variables across all campaigns 7 Question 7 Write the code and your observations on the percentage amount spent on different products for each category of the mentioned categorical variables 7 Question 8 observations on percentage purchases from different channels for different categories of the income_cat column 4 Question 9 Find the correlation matrix for the columns mentioned below and visualize the same using heatmap 3 Question 10 Based on your analysis, write the conclusions and recommendations for the CMO to help make the next marketing campaign strategy 10

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