Student portfolio

1. Include the goals, results, project URL (if applicable), and what you learned in a brief paragraph.
   1. This project required us to connect to a Web API that has COVID data and statistics for multiple countries. We then had to use this data to display summary statistics and calculations. You can find my summary statistics website at: http://misdemo.temple.edu/tuk81923/Bonus_Assignment/
2. Once approved, the description is automatically displayed in a post on your e-portfolio.

The project can be found here: http://misdemo.temple.edu/tui14173/MIS2402_API_Project/

The goal of the assignment was to utilize the Covid data API provided and write five functions about current Covid cases, tests, and deaths. The result was to create a functioning webpage with five working buttons. I learned about how to use and write a callback function, how APIs are used to pull information, and how to connect HTML, an API, and Jquery within one project.

Link:http://misdemo.temple.edu/tuj09873/PRO%20Point%20Assignment/PRO%20Point%20Assignment.html

Microsoft Project 2016 Essential Training

This course showed me how to set up a schedule in Microsoft Project. I learned the basics of how to use it for lots of project management needs. It taught me how to troubleshoot common issues and make changes depending on a project’s needs. Overall, this course was a good starting point for utilizing Project in the future.

Learning Design Thinking: Lead Change in Your Organization

As my professor, Courtney Minich, PMP, said to us in class, there are always people who want change, but no who wants to lead it. This course taught me how to lead change and solve problems using design thinking. It shows how an organization can be successful with this mindset. I hope to be able to use the knowledge gained from this course to help an organization one day.

Become an Agile Project Manager

Through this course, I learned a lot about what the agile methodology really is. This course went over the benefits of agile practices and how agile differs from the traditional waterfall method. There are different frameworks, but scrum was used as the main example. I learned how a company might transition into agile and different software that can be utilized to organize an agile team. I hope to continue learning about project management!

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 assignment was to dive deeper into data analytics. The assignment asked for a paper explaining a data analytics topic, how this topic related to what we learned in class, and then a real-world example of this topic. Below is my assignment on big data.

Emeline Beck

MIS 2502

11/12/2020

The world creates 2.5 quintillion bytes of data per day. Every like on Instagram, text sent, and Google search goes into this number. In fact, 90% of the data in the world was created within the last two years and the volume doubles every two years. This is big data. The true definition of big data is a large volume of data of different varieties (structured and unstructured) coming in at a quick velocity (in real-time). With all this information coming in, companies can organize it to make well rounded projected business decisions. Some ways businesses use big data is marketing, expansion, and time and cost-efficiency. Big data is first gathered, then stored, retrieved, and then interpreted to make these important company decisions.

In our course, we got firsthand experience with some of the databases and tools to store and retrieve big data. Big data is also related to our lessons about structured vs. unstructured data. Structured data is pre-defined and formatted to a structure, unstructured data is the opposite, not pre-defined and not formatted. Relational databases are an example of structured data, semi-structured data include CSV, JSON, and XML, while unstructured data is images, text, and documents. Through relational databases like MySQL and MongoDB, big data is sorted and organized so that it can be easily accessed with querys and interpreted to make decisions. The good thing about relational databases is that the information is imported once, which reduces redundancy. Normalization allows each table to be unique, a very important quality when 2.5 quintillion bytes of data circulate every day.

Although almost all companies use relational databases to simplify their data a specific company is Uber. In fact, Uber uses MySQL! Uber says that MySQL allows its operators to use the data stored in the tables, without having to understand the underlying technologies. By using MySQL Uber can access all information about customers and their demographics, as well as their rides and payment. They can also access information about the drivers, their demographics, car details, and all the data in between. With this data, they can make decisions about hiring, improving their direction mapping, and advertising their product.

“Big Data: What It Is and Why It Matters.” SAS, www.sas.com/en_us/insights/big-data/what-is-big-data.html.

Itamar Ben Hemo Posted on March 27. “Big Data Statistics: How Much Data Is There in the World?” Rivery, 12 June 2020, rivery.io/big-data-statistics-how-much-data-is-there-in-the-world/.

Shiftehfar, Reza. “Uber’s Big Data Platform: 100+ Petabytes with Minute Latency.” Uber Engineering Blog, 6 Apr. 2020, eng.uber.com/uber-big-data-platform/.

The purpose of this assignment was to research a topic relating to data analytics that was not covered thoroughly in class and show that I can understand and describe it. For this assignment, I did a 300-word writeup focusing on NoSQL databases. I learned more about the four different types of NoSQL databases and how they differ from relational databases. Additionally, I was able to research different software used for each of the different types of NoSQL databases and find some real-world examples of when and why they have been used.

1. Include the goals, results, project URL (if applicable), and what you learned in a brief paragraph.

The goal of this project was to research a topic of Data Analytics not covered extensively in class and write a write-up on the topic. The results of this project was the write-up that I typed after researching my topic which was big data.

Extra credit-Big Data

MIS2502-Extra-Credit

What I learned

I learned about big data through this project. Big data is collected by organizations for many purposes. Some of them are for analysis, predictive modeling, and data mining. The classifications of big data are structured, semi-structured, and unstructured data. Big data is important to organizations because it helps them make business decisions or for example, marketing campaigns based on the data. I learned that big data cannot be easily analyzed or processed efficiently by traditional management tools because of  the massive size of the data.  Some examples of where big data can come from are from social media databases like Twitter data feeds, clickstreams on websites, emails, etc. An example of a company that uses big data is Netflix.

2.Once approved, the description is automatically displayed in a post on your e-portfolio.

This project focused on the impact of artificial intelligence in the broad field of data analytics in relation to MIS 2502. The goals of this project were to identify how successful artificial intelligence would be in the field of data analytics and potentially give an outlook for how the future may look with AI integration in the tasks of clustering, data association, relational diagrams, decision trees, and structured & semi-structured data. The future of AI looks bright, especially for individuals in the data analytics and business field. As companies begin to develop further into automation, the costs of their goods and services will decrease, resulting in better pricing for consumers. The impact will be extraordinary, with AI being able to consistently and effectively update CRMs instantaneously, while also identifying segments of individuals to better market a product to. Overall, AI will serve as a better compass for businesses to identify trends and market segments faster than any individual could ever.

The aim of this project is to research a topic on data analytics not covered extensively in class and more fully understand and describe a facet of data analytics. I learned about the history and use of artificial intelligence in my research, dating back to the Turing Test in the 1950s. Overall, AI can boost the functionality of data analytics with the capacity to skim through large datasets and pick out subtle trends.

Please find my write-up at the link below.

AI in Data Analytics_ CSabanas 12.5.2020

1. Include the goals, results, project URL (if applicable), and what you learned in a brief paragraph.

The goal of this assignment was to research one topic, connect it to the things we learned in MIS 2502, and provide a real-world example. I chose to research Artificial Intelligence and the use of AI in data analysis to find patterns and make decisions. Through this project, I learned a lot about how AI works with data analysis. I also discovered the vast amount of ways AI is used in the real world for data analysis.

Artificial Intelligence Research Assignment

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