Search Results for: Analytics

Since there are so many areas of data analytics, it would be impossible to cover each of them extensively in one semester. We were to research a topic from a list and talk about how it relates to data analytics and certain concepts we covered in the semester. The topic I chose was ‘Internet of Things’ and what I found was not to my surprise, that it goes hand in hand with data analytics, and also almost all technology. This project, and course truly showed me how big data analytics is in the real world; It is the basis of information systems.

MIS 2502 Extra Credit – Arnav Khurana

1. Include the goals, results, project URL (if applicable), and what you learned in a brief paragraph.
2. Once approved, the description is automatically displayed in a post on your e-portfolio.

The goal of this project was to learn more about a topic that connects to our class. It was an opportunity to display an understanding of data analytics that can one day be used in discussion with future employers. I chose to learn about the Internet of Things and how it can collect data from a variety of devices to make our lives easier. IoT allows too interact with and make decisions based on a lot of data that has been organized and analyzed for us. IoT

1. mis 2502 extra credit assignment

https://community.mis.temple.edu/mis2502sec751fall2021/2021/11/02/assignment-extra-credits-and-pro-points/

Research a current topic on Data Analytics not covered extensively in class. Create a 300-400 word write up that includes:

• A brief overview of the topic (i.e., what is it and why is it important).
• How the topic relates to the material we have covered in MIS2502. How does it build on the concepts covered in the course? What are the related topics in MIS2502?
• An example that describes how this tool or technique has been applied in practice.

What I learned:

I learned about how quantum computing actually works and the science behind it. I also learned how the topics I learned in MIS 2502, especially about data mining and analytics can be improved by quantum computing and used by companies in the future if the technology is ever made more available.

 

1. The goal of this project was to give more information on a specific topic that relates to the Data and Analytics curriculum. In summarization, I learned more about NoSQL and its implication into data and analytics.    extra credit

Text Mining and Sentiment Analysis

Research paper on a topic in data analytics for the course MIS 2502. I learned about text mining and sentiment analysis. Within the project, I researched how these tools work and can be applied to business and other applications in the real world.

 

1. Include the goals, results, project URL (if applicable), and what you learned in a brief paragraph.
2. Once approved, the description is automatically displayed in a post on your e-portfolio.

Natural Language Processing

The goal of this project was for me to dig deeper into exploring an aspect of data analytics and how it applies in the real world.  As a result, I learned about natural language processing, and how it is a necessity for machines to interact with humans on a more personal level.  By structuring unstructured text/audio data, NLP allows machines to communicate with humans, which is already making it easier for professionals and everyone else alike to attain information at an unmatched pace.

1. MIS Data Analytics Write Up – Quantum ComputingInclude the goals, results, project URL (if applicable), and what you learned in a brief paragraph
   1. The goal of this project was to explore a subject not discussed in class that relates to data and analytics. Furthermore, it demonstrated an ability to read and comprehend an aspect of data and analytics and convey our understanding. Through this project, I learned the basics of quantum computing and how it related to data and analytics. In addition, I looked at how this might change data and analytics moving forward.
2. Once approved, the description is automatically displayed in a post on your e-portfolio.

I wrote a paper on Artificial Intelligence(AI) describing and giving insight into weak AI and strong AI. I also gave a brief background on the origins of AI and how AI developed over history. I also described and gave examples of how AI is being used and implemented into tech today. I used various credible sources as references, which allowed me to gain a deeper understanding of AI and what it can do, and what it is capable of. Finally, I used the knowledge that I gained in Data and Analytics to compare AI to the use of R. In this comparison, I spoke on how R can make predictions and meaning for a data set.

MIS 2502 Extra Credit Assignment

In the following assignment, I was assigned to research a list of topics on Data Analytics that are not covered in class. The topic that I chose was cloud computing.

After doing my research on the topic, I briefly discussed what cloud computing is and how it is important. I then went on to relate it back to the topic of Extract Transform

and Load (ETL), which was taught in the course. I wrapped up the assignment by showing an example of how AWS does cloud-based ETL through their service AWS Glue.

 

Brandon Nelson Social Network Analytics Write Up

This assignment was a brief write up assignment for MIS 2502. The task was to write about a subject we didnt cover in class, and relate it to a topic we did learn.