Im having a hard time with this class and I need help with this assignment. Use the case study in the resources section.

For this assignment, you will return to your role as an intern at Nutri Mondo, an organization that uses data science to address issues related to food insecurities and other food-related issues. Read the message from the director of Nutri Mondo, Susana Maciel, to set the context for your assignment this week:

SUBJECT: DATA UNDERSTANDING AND DATA PREPARATION

FROM: SUSANA.MACIEL@NUTRIMONDO.ORG
TO: YOU

Hello,

So, I just want you to know that the data science team is telling me you are doing great! I hope you feel the same way. I know data science gets pretty technical. But I promise you that this team not only loves what they do, they are great at explaining their processes if you don’t have all the technical skills they do…yet. 😊

Now that you are up to speed with our project on food insecurity, you know that the next step of the data science methodology is Data Understanding and Data Preparation. The team will explain it a lot more, and there is some content from IBM that will go over the general details as well. And just so you know, I am as excited as you are to see how the data science team constructed their data set from the data they collected and how they are exploring and preparing the data—I haven’t seen it yet!

I am sure I will read all about it in your next reports.

Regards,

Susana Maciel
Director
Nutri Mondo

To prepare for this assignment, review this week’s Learning Resources. Then go the World of Data Science to visit São Paolo and Miami to view the Data Understanding and Data Preparation video.
For this assignment, write a report to your director at Nutri Mondo. In your report:

• Describe the steps taken by the data science team to construct the data set for the case study.
• Describe the initial patterns identified by the team and what these patterns might mean
• Describe how the data science team is exploring and preparing the data

Your report should be 5–8 paragraphs.

Resources:

https://mym.cdn.laureate-media.com/2dett4d/Walden/DSCI/2010/WorldOfDataScience/index.html#

https://www.ibm.com/developerworks/opensource/library/ba-cleanse-process-visualize-data-set-1/index.html?ca=drs-