In this project, you will create data visualizations to answer a customer ask. For an overview of the project, please download the file provided at the end of this page.
Customer Ask Preview
XYZ Corporation uses data to develop marketing profiles on people. These profiles are then sold to numerous companies for marketing purposes. You work at XYZ as part of a team of data analysts. Your team has just been given a new project working with UVW College, a local college looking to bolster enrollment. UVW has chosen a salary as a key demographic to determine criteria for marketing its degree programs. You must develop marketing profiles using data supplied by the United States Census Bureau, and you will be focusing on $50,000 as a key number for salary. There are many key variables that must be assessed for individuals making less than and more than $50,000, including age, gender, education status, marital status, occupation, etc.
For example, if the data show that the majority of individuals making less than $50,000 is under 34 years old, male, single, and has a high school diploma, the college can market to this demographic with tuition amounts, program concentrations, and even ground or online programs appropriate to this demographic.
To achieve its enrollment target, the marketing team at UVW would like to develop an application to find the factors that determine the individual's income. One way to accomplish this is to use the United States Census Bureau data provided by the XYZ company. The marketing team wants to group the factors that can be used in the development of their proposed model/application. They also want the application to predict the income of an individual based on different values of the input parameters so that they can tailor their marketing efforts when reaching out to the individuals.
Week 1 Assignment Connect with your team members. What are your strengths and weaknesses? What will be your main channel of communication as you work together?
Determine your team name and post it in the group discussion. Have fun with your name!
Moving Forward We recommend that you get an early start on the team project. As a team, review the customer ask so you can understand what is expected and divide the work among team members.
We invite you to familiarize yourself with the data that you will be using to complete the project:
Dataset: https://archive.ics.uci.edu/ml/machine-learning-databases/adult/
Description of the column names: https://archive.ics.uci.edu/ml/machine-learning-databases/adult/adult.names
Course Project Checkpoints:
Your Executive Report and Systems Documentation Report (group submissions) are both due at the end of Unit 6.
Your Individual Contribution Report (individual submission) is due in Unit 8.