David Schuff

One of the most important takeaways I have gained from Data Analytics is being able to communicate with a relational database through SQL. Today I actually had the opportunity in an interview with a UHS Director of Information Services, Supply Chain where he talked about the importance of SQL in their division of the supply chain. I communicated my experience with the computer language and my experience with joining tables and subselects in SQL during my time in this course.

To me, the most important takeaway from this course was learning about where data comes from, how it is stored, and how it can be transformed. Before this class, I did not think too much into the process, but now I know a lot more about it and totally understand it. If I were to explain what I have learned from this class to a future employer at a job interview, I would explain that we learned about different types of databases, cardinality in Entity Relationship Diagrams, schemas, SQL, and R. I would emphasize that all these topics helped me better understand how to interpret and gain insight out of data sets.

My most important takeaway from the course was how to visualize data effectively. In a future job interview, I would explain how I applied various strategies in data visualization like reducing chart junk and telling a story to place third overall in the data analytics track for the 2018 Data Analytics Challenge.

My most important takeaway from this class was how to utilize data that is gathered, by entering it into a data base, storing it, and transforming it. Another important takeaway was pulling data from a database by using SQL language. In future interviews, I can now explain to potential employers that I have abilities to take their data and translate it into way that they can improve their business. I would explain to them that I am familiar with SQL language, R studio, and data storage.

The most important takeaway from this course for me was the concept of data cleaning and using reliable sources of raw data to analyze. Through the various different exercises used throughout this course, we were always given “clean” data which allowed for easy analysis right away. In most cases, raw data can often times be unorganized or misleading which can cause many complications. In a job interview, I would explain the different methods we used to clean and find reliable data to ensure correct analysis.

The most important takeaway from MIS2502: Data Analytics is cleaning and modeling data with Entity Relationship Diagrams (ERD) and Schemas, transforming data, and using data mining to uncover hidden trends to support decision making. To a future employer, I would explain that I can communicate with any database because I have knowledge using MySQL, which is the foundation for communicating with databases that are similar to others like SAP. I can retrieve data using SELECT statements and summarize data from a relational database, and ultimately the data cube. I use association rules to uncover relationships among predictor variables.

Personally I feel the most important topic we’ve learned in this course was how to visualize analytical data. Prior to starting this course I didn’t know there was rules and guidelines of displaying data. When interviewing for a potential employer, I can advise them that during studies here at Temple University I have learned how to extract data, reconcile all that data to become analytical data and effectively conveying a story using that analytical data.

For me, the most valuable part of this course was exposure to R. I am an actuarial science major, and I have to take a predictive analytics exam using R. In my interviews I have described MIS as a way of utilizing data to help a business run and make decisions. I explained that I furthered knowledge of SQL and R.

The most important takeaway from this course for me was learning how to “visualize” data correctly, learn the structuring (in’s and out’s) of how a database functions, and also learning basic code and how to analyze a running script. I also found participating in the Data Analytics challenge to be a very interesting headache – it is definitely not a competition I ever thought I would be a part of.

In a future job interview I would explain how in class we learned the basics of several different coding languages (SQL, R), among numerous other strategies in data visualization: how to organize miscellaneous data, how to reduce chart junk, and how to ultimately read/analyze a plethora of chart and data info.

Overall a pretty challenging but very rewarding class.

To me the biggest takeaway is how applicable the whole body of work I learned this semester will be in the future. I learned to analyze data and how to present it as business information to future colleagues and clients. I put the skills learned to use by modeling and designing different database centric solutions. I can now assist in managing multiple database systems, source that data, make it homogenous, and generate an analysis and visualization to communicate the data as information. I also learned multiple coding languages and concepts using both SQL and R, two tools businesses rely on heavily.

The most important takeaway from this course for me was probably participating in the Analytics Challenge. I believe this was a good challenge because we had to deal with ambiguity and learn to utilize our resources when the answers weren’t as obvious. It was also a good experience because we used real-life data to create a visualization; it combined my analytical and creative sides. I would tell an interviewer that participating in this challenge allowed me to see how real data can be used to fix companies’ problems, as well as helped me understand how different components of this class come together.

I believe the most important thing to take away from this class is MySQL and data mining. I believe these two are the most beneficiary to me because of the way I could now explain data and view it in certain forms. I would explain to an employer that I can use these skills to my advantage in any data related problem that may have occurred or that will face me in the work day.

Being a digital marketing minor, I thought the data visualization unit was most important and relevant to my career. A lot of my current job revolves around me presenting data to my boss and I feel after this class I feel confident in my ability to present it in the right manner. When talking to a future employer I would speak about the data analytics challenge and how i went about selecting the most effective methods of data visualization.

How would you explain what you’ve learned to a future employer in a job interview?

The most important takeaway I got from the MIS 2502 course was how data and technology are constantly changing our lives. With the use of SQL and R, students in the class were able to discern how to effectively analyze, interpret, and display data in a way that explicitly communicates certain patterns. For example, using SQL, we were able to determine which type of movies certain customers watched. Through R, we were able to create decision trees to determine the customer profile that is most likely to repay his or her loans. To what I would explain to a future employer for a job interview, I would talk about the same material: I learned how to effectively use data to communicate certain information necessary to solve certain job problem sets.

The most important takeaway for me was learning the purpose and effectiveness of ERDs. ERDs have a unique purpose inside many businesses and learning all about them has helped me in previous interviews and will also help in future interviews. In an interview I had recently, they actually had an ERD posted on the wall behind the interviewer. It was an ERD of the HR department’s hiring process. The interviewer and I discussed the ERD during the early part of the interview and I believe it is one of the reasons that I was asked to come back for a second round.

I believe that the biggest takeaway from this course would be my ability to use R and my SQL. I only have one more semester before I will be entering the business world where I will be working with Risk Advisory. Specifically, data trees in R are helpful because they are able to tell the percentage of the likeliness for a person to do something, for example repay a mortgage. After this course, I will be able to tell my future employer that I am able to take data files in order to run scripts into different ways to visualize and understand the data. Since technology and big data are taking over the business world, my ability to use these programming languages may put me beyond some other candidates in line for a similar position.

The most important takeaway for me from the course is data visualization. I learnt how to transform lots of data into table, charts and infographics which is easier for people to understand the information. I would explain to a future employer that the technical skills I learnt from this class includes ERD, SQL and R. Those are some languages that really useful to analyze data.

For me, the most important takeaway from the MIS 2502 course was learning how data is collected, displayed, stored, manipulated/transformed, and interpreted. I learned how data and technology are changing our lives every day. The use of SQL and R helped me expand my experiences in software use. SQL is used by many companies, including the one I Intern at currently.
To a future employer in a job interview, I would explain to them some of the assignments we had done in this class to provide an example of how I used SQL and R and how I collected, displayed, stored, transformed, and interpreted. Providing an example always a way to provide employers with an idea of how you work.

The most important takeaway from this class is how to analyze and interpret data. I never knew how to use MySQL before this class so that was a big part for me. I would explain to an employer than I can use these skills I’ve acquired in order to organize and interpret data for a particular problem.

My most important takeaway from this course are ways to organize and analyze data using MySQL, RStudio, ERD diagram and etc. And learning about how to transform those datas to make it easier to understand. After this course, I would be able to tell my future employer about the technical skills I’ve learned and how to apply it to different issues in the business world.

The most important thing I learned in this class was how to use tools tools such as R and data visualation software like Tableau to be better. I leave this term ‘better’ intentially vauge because I will use these tools to be a better intern at EY for FSO Assurance, a better leader in my organization, Student Center for the Public Trust, a better student as I go on to the Temple MAcc program next year, a better networker by implementing visuals like pictograph on my LinkedIn, and a more effective ‘household leader’ because I can better analyze the data I collect on our bills, etc. There are limitless uses to the things we learned in this class.
If I was to explain this in an interview, I would say high-level, I learned data integrity and how to better work with and leverage data, low-level, I would give specific examples of the items I mentioned above.

The most important takeaway from the course in my opinion was learning SQL and Rstudio. I believe having an idea of how they work will come in handy when interviewing for jobs. I would explain to a future employer that I know how to SELECT, DELETE, ALTER, etc. statements in SQL as well as interpret information from Rstudio.

The most important takeaway from the course for me was learning how to communicate with SQL servers. SQL is a very useful tool that I see myself using in the future. Also, I was amazed at how I could master using complicated joins to find specific data that I wanted. I would explain to a future employer that I learned the necessary skills to draw data from a table and analyze that specific data. In addition, I would tell them that I learned how to store data and fix inaccuracies in data which would allow me to give the data they have meaning.

I think one of the most important and useful takeaways from the course is the knowledge of excel functions such as VLOOKUP, Pivot Tables and Concatenate. These are tools that may not be the most advanced skills learned this year, but they are great ways to organize large amounts of data and helpful for data visualization. I would explain to a future employer that this class has given me practical skills that I can use right away, such as these excel skills, SQL and Rstudio.

The most important takeaway from this course comes directly from all the exercises and homework of SQL and R. The analytics of data is on the rise and having an extra skillset is always prevalent. I’ve already been able to speak upon my ability to analyze data and any employer has always been interested in what I have said. As a risk major, I explain how I am differentiated in that I would be able to predict risk better because I can look at numbers behind premiums and claims.

The most important takeaway I personally got from the course was learning about SQL & R. These two programs helped me better understand how to analylize a data list and how to read the outcome in a clean way. I also learned more about data, how it is transformed and read. It was also helpful to know what types of data visualizations were important and more appealing to a user. I would explain to a future employer I would emphasize all the lessons ive leafned and mostly about how these programs have helped me look at data more efficently.

The most important takeaway from this class was understanding where data comes and how it can be organized to be easily understood. The process of how data is transformed, stored, and relayed is important because it creates a foundation for further applications of data usage. I would explain to a future employer that I have background in SQL and R and that I understand the core mindset behind the actual coding.

For me, the idea of “garbage in, garbage out” is very important for data analysis. It is the big issue that the people who design data systems are not the users. Moreover, the users do not understand IT enough and can not predict uncertain business conditions and how these conditions affect the way to store and extract data. The ineffective communication, which can come from lack of knowledge either one of two fields (IT and business), causes issues at the first step of design ERD and schema. Of course, the most important takeaway from this class is modeling data and how to eliminate to create dirty data at the design step or even how to clean data.
In future interview, I would explain that this class helps me to have background knowledge to design data, to make me beware of the distance of skillsets, needs, and wants between the data designers and the users, to know how to use many types of tools like MySQL Workbench, advance Excel with Pivot Tables, Pitktochart, RStudio, and to get the studying tips how to learn to use a new tool or software from my MIS 2502 professor.

In my opinion, the most important takeaway from this course was VLOOKUP, Pivot Tables and Concatenate of Excel. Although I’m not major in MIS, but I think it will helps me a lot in my future career. Those skills helps me in organize the massive datas and helpful for data visualization. I would explain to a future employer how this excel skills, SQL and Rstudio helps me have a better understand in datas and how I use this data analysis to help and support my works.

For me, this course helped me a lot. I was not in MIS major, but after this class, I felt it is very useful in my future career. I learned how to use SQL and R studio to deal with a huge amount of data. Our lives will be full of data in the future, so these tools will help me very much.

The most important takeaway from this course was learning how to retrieve data through SQL and writing and understanding queries and how to do Data Mining and make plotter charts. It was fun to learn and do all the assignments as it gave me information about so many different aspects of Data Analytics. While talking to my employer, I will let them know about my learning of SQL, R-studio and Pivot tables and how i have learned all these things and I enjoyed it.

The most important lessons that I will take away from this course is the SQL. Knowing SQL is very important in today’s world where there are billions of data being created and stored. Being able to organize and pull the data is a very good skill to have. SQL is a very important skill that employer will be happy to see on the resume. and i would explain the employer the ease of getting data quickly and efficiently which would help in decision making.

For me, the most important thing I learn from the course is mySQL and Rstudio. Understand these two platforms and how data is stored will help me stand out during interview. In addition, the data visualization assignment is also a good project to put in the portfolio so that employer could see how I understand data and apply what I learn in practice.

The most valuable part of the course for me was exposure to SQL and R studio. I believe that understanding the basics of SQL and R studio will be quite beneficial to my marketing degree and will set me apart from other marketing candidates who may not have exposure to these fields. I would explain to an employer that I have a great understanding, as well as knowledge of the basic functions, of SQL and R studio that I am able to build upon.

While there was an abundant source of important information from this course, the most important takeaway for this course is understanding how to gather data from CSV files and import them to R. Then we can collect this analysis to implement clustering of data, decision trees, data mining, etc. This data can be used to predict certain outcomes which could benefit millions of people. This type of information would be beneficial in life after college.

The mos important takeaway from Data Analytics for me was learning both MySQL and getting an into to RStudio. Having a knowledge and the skill set to use different analysis tools has helped me in my ability to be able to transform and extract value from data. It shows employers that I have the ability to pick up on new technologies quickly and have a more well rounded view of data analytics.

I believe the most important takeaway was learning how databases work, from figuring out what requirements a particular database might need to implementing a schema. Most of us deal with sort of database every day, so as MIS students, it is very important for us to understand the “behind the scenes.” I also really enjoyed learning the basics on how to use SQL and RStudio and I plan on continuing to learn R on my own.

In a job interview, I’d argue that knowing how to manipulate data and quickly extract relevant information is a crucial advantage. As we’ve seen in class, many of the things that we have done through the softwares can be done by hand. However, a task that would take a human being a couple minutes or hours can be executed in seconds through a program when you know speak its “language.”

To me, the most important takeaway was learning how to use MySQL. It was awesome to be able to add it to my resume and to learn how to create my own database within mySQL as well as extract data from an existing database. I would describe this class as teaching me the fundamentals of big data and how to work with data. I would say that it taught me how to both extract and input data from/into a database and how to gather insights from data through different statistical tests.

For me, the biggest take away from data analytics was just how to play with data in general.Last year, when I attempted the data analytics challenge, I had no idea where to start or what I was looking at. This year when I attempted it, I knew exactly what to do to make the data readable and meaningful, and had a variety of tools at my disposal. Though I used excel for the challenge and prefer using it in general, I feel comfortable using R for statistics and manipulating scripts to output the data I want.

The most important things I learned from the course are MySQL and Rstudio. They are both very useful tools for us to deal with data. I can use MySQL to get data out of the database or put new data into the database. I understand how RStudio analyzes data and could use it to do three analytics tasks: decision tree, clustering, and association rule mining. If I get an interview, I would explain to the recruiter how to extract, transform and load data effectively and how to apply data mining and predictive analytics to generate business value for the company.

Awesome ! Wishing you all the very best. !!!