Corey C. Kalkanoglu

– Corey Kalkanoglu
– Management Information Systems / Senior
– 2013 summer internship with data analytics department

Without this class, I would not know anything about Data Analytics. This class taught us data analytics through data software / systems such as ERD Diagrams and SAS. This class was very useful since it engaged […]

I am a Management Information Systems major. Data driven decision making is very helpful because it helps predicts the future decisions. How can companies create an outlook strategy without data? Yes, it is […]

In week thirteen, our class learned about association mining. This is finding relationships between variables in large databases and discovering which items predict the occurrence of other items. A great example […]

Amazon.com uses segmentation to find its target audience, which eventually turns into profit. When someone is searching for a product, Amazon.com customizes each search by recommending other similar products. […]

The Sum of Squared Errors is measured by cohesion and separation. Respectively, they are used to measure the “close” and “well – separated” relation between the objects in a cluster. Both cohesion and separation […]

Both cluster cohesion and separation are essential in clustering since they are responsible for measuring the relation between the cluster sum of squares. Cohesion measures how closely the objects are in the […]

Data mining is useful for discovering similarities in the music corporation. It deals with radio lists, compact discs databases, vinyl databases, cassette, and digital purchases. Data mining also comes into […]

In order for SpotCrime to work, it needs data analytics. SpotCrime is an example of data analytics since it depends on police reports and demographic data. Plus users have the same access as police do when […]

In week twelve, we discussed cluster analysis which is grouping data so that elements in a group will be different from elements in other groups. Or the elements in a group will be similar to another group. […]

Data warehouse is used for analyzing data. It is helpful for storing historical and recent data, which then is useful for writing reports for annual comparisons. A data mart appears as a layer included in the […]

True because data cubes seem to be more reliable than transactional data. I may be wrong, but aren’t data cubes created from transactional data? This means that converting transactional data into data cubes […]

In week ten, we learned about classifications and decision trees. This topic reminded me of the ERD Diagram concept. Decision trees are a model that predict of cases of a dependent variable based on one or more […]

In week nine, we learned about data mining the evolution of data analytics. The two methods that deal with data mining/analytics is prediction and description methods. These methods help assist employees and […]

In week seven, our class focused on the concept, Extract Transform Load. This refers to the process in database usage and in data warehousing, which involves extracting data from outside sources and transforming […]

In week six, we learned about transferring data into dimensional modeling, such as Data Marts and Data Cubes. This helps with managers/employees who aren’t familiar with softwares like MySQL Workbench to retrieve […]

For week five, we continued learning about MySQL Workbench’s techniques such as creating and editing tables, retrieving data, and deleting that data. By creating and editing tables, we needed to add or delete […]

In week four, we learned about MySql Workbench which helps organize data into a database system. Not only collects, but it makes it easier for someone to retrieve the data as well. In MySQL Workbench, data is […]

In week four, we learned about MySql Workbench which helps organize data into a database system. Not only collects, but it makes it easier for someone to retrieve the data as well. In MySQL Workbench, data is […]

In week three I learned the importance of Entity Relational Diagram (ERD) and MySQL/WorkBench. ERD doesn’t only collect data but its store and organizes it into tables. Organizing data into tables helps prevent […]