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My project analyzes factors that correlate to the gender of varies patients with lung cancer. It shows strong correlation in factors such as snoring. I used a decision tree that was used in MIS 2502.

The project was to find a suitable dataset that wasn’t used in class to create and analyze a decision tree. I found a dataset that was a combination of approved and denied loan applicants. From this project, I got more practice with decision trees and analyzing the results to make predictions. I also learned which data can and can’t be used to make a decision tree because I had to search for data that could be split. For the project, I had to identify the best minimum split, the highest probability, the lowest probability, and 4 data points that could be predicted by the tree.

For this project, I was required to find a csv dataset online that had not been used in class before, run a decision tree analysis on the dataset, and answer questions related to the decision tree. I found a dataset on Kaggle that had data on patient glucose level, blood pressure, age, genetic predisposition for diabetes, and other predictors, as well as a 0 or 1 value to show that the patient was diabetic. Using this data, I made a decision tree that showed the probability of a patient being diabetic based on the predictors. After I was done making the decision tree, I answered various questions such as the best minimum split value, which had the highest/lowest probability, and to list some datapoints and their probabilities. This was a solo project, all the work was done myself. I gained a deeper insight into how decision trees work, and I feel more confident in using datasets to make predictions.

 

For my class project, I used data from civil birth registration in New York state. The objective of this class project is to analyze ranked baby names that fall below 50th place and those within or up to the 50th rank. I used a decision tree for my analysis. I found the minimum split was at 20 and maximum to set 3 in order to have more clarity and less branches. I found that a majority of baby names were ranked below 50. They also were not of the ethnicity of asian or non-hispanic. The rarest probability of someone’s baby name being found in the data set were below rank 50, asian ethnicity, and not male. In conclusion, I discovered that the rank of the baby’s name doesn’t significantly impact whether they have a rare name, as both the highest and lowest probabilities were observed among names ranked below the top 50.

Leading Change Link: https://www.linkedin.com/learning/learning-design-thinking-lead-change-in-your-organization/welcome?u=2206009

Microsoft Project Link: https://www.linkedin.com/learning/microsoft-project-2016-essential-training/welcome?u=2206009

Within these courses I learned various things that will hopefully help me throughout my professional career. In the Leading Change course we learned much about Design Thinking, and both the mindset and approach we should have when adhering to it. One of the major concepts within this course was alignment and how to keep all members of a team aligned to achieve our goals.

In the Microsoft Project course we learned about navigating throughout the platform. Setting up calendars and using templates can be beneficial to everyone on the team. There are various tasks you can create that all have different purposes, including milestone, recurring and summary. I don’t have much experience with Microsoft Project so I thought this course was insightful and helpful overall.

I believe a combination of the things I learned within these two courses have made me a more well-rounded person when it comes to the workplace and I’m glad I took them.

The goal of this project was to learn more about project management through a LinkedIn Learning course. The LinkedIn Learning course that I completed was, “Learning Design Thinking: Lead Change in Your Organization.” In this course, I learned what design thinking is and how I can apply the design thinking mindset to solving problems and leading change within an organization. This course talked about the different collaboration strategies that are involved in design thinking, such as prototyping, concepting, and customer journey mapping. These activities are all very engaging and encourage team members to bounce their ideas off one another. One lesson in this course that stood out to me was about the team leap activity. This activity requires team members to get to know each other better by sharing things about themselves, such as working styles and development goals. Understanding the people you will be working with on a project is a key to being successful when completing that project. Overall, I learned several new skills and strategies from this course that will be useful to me in my future career. CertificateOfCompletion_Learning Design Thinking Lead Change in Your Organization

For the project I found a JSON data source from the internet that showed monthly caused of death from 2014 to 2019. I  then coded a web page that when you press the button, calculates the average number of homicides that occurred in 2014 and the average number of homicides that occurred in 2019 from the data on the JSON source. It then displays those numbers on the webpage.

The task for this project was to analyze a data set of our choice using jQuery’s and ajax calls. We were to calculate different summary statistics, and write a potential hypothesis that we could test. I leaned more about the structure of data and datasets may be similar, but they are never the same. Furthermore, you have to be careful of the data you use to make sure that the code iterates through the data correctly.
Here is the project url:

https://misdemo.temple.edu/tuo47980/ProPoints/PRO_point_PROJECT.html

In the LinkedIn Learning course on Microsoft Project 2016, I gained an understanding of proficient project setup. tI learned about the strategic configuration of work tasks, milestones, and recurring tasks. The instructor touched on resource management, their availability, and associated costs. The course also talked about task interlinking for constructing a realistic project schedule. Additionally, it showed the utilization of Project 2016’s novel features, such as multiple timelines and the “Tell me what you want to do” functionality. The learning objectives, spanning efficient project initialization to resolving scheduling intricacies and disseminating project information, equipped me with a practical toolkit for project management using Microsoft Project 2016.

Certificate – CertificateOfCompletion_Microsoft Project 2016 Essential Training

For this project, I chose a JSON file from a database website and created a webpage that displays information about the data. The JSON file that I used contained infromation about Battery Electric Vehicles & Plug-in Hybrid Electric Vehicles in Washington State. With this data, I found the average model year of BEVs and PHEVs, average electric range of BEVs and PHEVs, and the total number of BEVs and PHEVs in Seattle, WA. I did this by iterating through the data to find the desired information for each topic. Additionally, I created the buttons, headings, and hypothesis for the page. The MIS2402 Pro Point Project taught me how to break down and understand large sources of data. The project was challeging, but it helped me gain a better understanding of JSON.

MIS DEMO URL: https://misdemo.temple.edu/tup44662/MISPRO/ProPoint.html