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Shana Pote wrote a new post on the site MIS 0855: Data Science Fall 2016 8 years, 2 months ago
Here is the exercise.
And here is the spreadsheet you’ll need [In-Class Exercise 2.1 – 2015 Car Fuel Econ [Start]].
And here is the completed data dictionary for your reference In-Class Exercise 2.1 – […]
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Shana Pote wrote a new post on the site MIS 0855: Data Science Fall 2016 8 years, 2 months ago
Here are the instructions in word (and as a PDF). Make sure you read them carefully!
When your assignment is complete, you’re going to email the document to me in .docx or .pdf format at MIS […]
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Shana Pote wrote a new post on the site MIS 0855: Data Science Fall 2016 8 years, 2 months ago
Some quick instructions:
You must complete the quiz by the start of class on September 12, 2016. The quiz is based on the readings for the whole week.
When you click on the link, you may […]
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Shana Pote wrote a new post on the site MIS 0855: Data Science Fall 2016 8 years, 2 months ago
Class,
Through Monday, 9/5/16, I will have limited access to Internet and email. I
will check for email at least 1x/day, and respond immediately to urgent requests.All other email will be responded to wh […]
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Shana Pote wrote a new post on the site MIS 0855: Data Science Fall 2016 8 years, 2 months ago
Here is the exercise.
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Shana Pote wrote a new post on the site MIS 0855: Data Science Fall 2016 8 years, 2 months ago
Here is the exercise.
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Shana Pote wrote a new post on the site MIS 0855: Data Science Fall 2016 8 years, 2 months ago
Leave your response as a comment on this post by the beginning of class on September 7, 2016. Remember, it only needs to be three or four sentences. For these weekly questions, I’m mainly interested in your o […]
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Shana Pote wrote a new post on the site MIS 0855: Data Science Fall 2016 8 years, 2 months ago
Some quick instructions:
You must complete the quiz by the start of class on September 5, 2016.
Note, there is no class being held on September 5 (Labor Day), but the quiz is still due by 8am […] -
Shana Pote wrote a new post on the site MIS 0855: Data Science Fall 2016 8 years, 2 months ago
We are all drowning in data, and so is your future employer. Data pours in from sources as diverse as social media, customer loyalty programs, weather stations, smartphones, and credit card purchases. How can you […]
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Shana Pote wrote a new post on the site MIS 0855: Data Science Spring 2016 8 years, 6 months ago
Dear all,
I have completed grading all submissions for late assignments, quizzes, and weekly questions. All Extra Credit and exam grades have been calculated and entered as well, and final grades have been […]
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Shana Pote wrote a new post on the site MIS 0855: Data Science Spring 2016 8 years, 7 months ago
Here is the exercise.
And here is the spreadsheet you’ll need [In-Class Exercise 13.2 – VandelayOrdersAll.xlsx].
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Shana Pote wrote a new post on the site MIS 0855: Data Science Spring 2016 8 years, 7 months ago
Here is the exercise.
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Shana Pote wrote a new post on the site MIS 0855: Data Science Spring 2016 8 years, 7 months ago
Here is the study guide for the third exam, which will be on Wednesday, May 4, 8:00am in Alter 0A232 (same room we’ve been in all along).
Friday, April 22, (if there’s time after group presentations) and all […]
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Shana Pote wrote a new post on the site MIS 0855: Data Science Spring 2016 8 years, 7 months ago
Here is the exercise.
And here is the spreadsheet you’ll need for the exercise [In-Class Exercise 12.2 – Sentiment Analysis Tools.xlsx].
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Shana Pote wrote a new post on the site MIS 0855: Data Science Spring 2016 8 years, 7 months ago
Leave your response as a comment on this post by the beginning of class on April 13, 2016. Remember, it only needs to be three or four sentences. For these weekly questions, I’m mainly interested in your o […]
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Alex Freeman, Alice Nguyen, Matt Major, and I will be working together for Assignment #4. We found a dataset from opendataphilly.org which includes information about employees of the city of Philadelphia and their annual salary and overtime pay. We will use this data to answer questions about relationships found within the data.
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Katherine Braccio, Alice Nguyen, Alex Freeman and I are working on the group project. Our dataset provides salary information for employees of the City of Philadelphia. We are going to use this to find average salary by department, and most overtime per department.
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Nancy Nam, Joshua Affainie, Mark Negro, and Jason Ly. Our project will focus on answering when, where and how to book the best plane ticket. Our Data set will come from numerous sources. The goal is to get closer insights on the most economical way to purchase a flight (domestic and overseas).
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Alissa Smith, Eugene Seto, Jake Montana, and I are working together for Assignment 4. Our project will show how and why salaries for players in the MLB have changed over time. We will also compare the salaries of the players by league and by team.
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Erin Kelly, Grace Hirsch, and I are going to be looking at and analyzing the City of Philadelphia employee salaries that was just released last week. We will be seeing which departments earn the most gross salary and which have earned the most YTD overtime pay, as well as some other factors from the data.
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Jose has been added to our group!
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Sakeena McLain-Cook
Shuyue Ding
Xiaoxu Liu
Gabriella Baldini
Cavin VuongOur data set is from opendataphilly.org and it list salaries and YTD overtime pay of City of Philadelphia workers. We will use the data to compare and contrast different departments regarding salary and overtime.
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Sergio Campos, Kira Chumtong, Rahsaam Ray, Junaid Farnum, and myself are working together for our final MIS project. Our data set is coming from the Stats page of the official NBA website. We’re comparing the statistics of the Rookie Players in order to gather information on how they’ll compare to each other.
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Jordan Motter, David D’Angelo, Isaiah Carrol, John Forsythe, and I are working together on the final project. We will be comparing the stats of Lebron James and Michael Jordan through the first 5 seasons to see who had the better start to their careers. We will be gathering our stats from Basketball-Reference.com
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Group Members: Tae Shin, Elena Ciapparone, Bradon Shaffer, Colin Krouse, and Ryan Gibbons
Subject: NCAA Regular Season/Tournament Upsets
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I’ve been added to this group as well
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Shana Pote wrote a new post on the site MIS 0855: Data Science Spring 2016 8 years, 7 months ago
Leave your response to the question below as a comment on this post by the beginning of class on April 13, 2016. It only needs to be three or four sentences.
What was the most important takeaway (from your p […]
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I think the most important take-away from this course was to see how often we interact with data and how important data has become. As we look forward to post-graduation plans, I think this course demonstrated that we will all use data on a daily basis, regardless of our major. I would tell a future MIS0855 scholar to take the course and make sure they are absorbing all of the knowledge being offered, as it will prove to be extremely useful to them in the near future.
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The most important takeaway is to understand how important data is and how much it affects our daily lives. First, I believe data analysis is going to continue to improve and the way we use data in the future will be very different. Therefore, I would not explain to a future MIS0855 scholar about any data software or systems because they may have a more advanced system. However, I will tell them the fundamental purpose of data analysis; which is to organize data and present it in a way that the user can easily understand the solutions from the analysis.
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In my opinion, I think the most important takeaway from this course was seeing how much we interact with data and what we can do with the data we obtained. This course taught me that data is everywhere and that we interact with it in some way everyday. It also taught me how to use different programs such as, Tableau, Excel, and Piktochart to organize and display the data that I am analyzing.
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Personally, I think that the most important takeaway was learning a variety of different techniques to analyze data. This course introduced many ways to get deep information from data sets by managing to use programs Tableau, which allow us to make a many different graphs in order to see data in different ways as well as Excel to be able to filter and search for specific parts of data. Now that I’ve realized that data is everywhere in our daily lives, I think it’s great that I’ll be able to analyze it and go in depth with it even more.
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The most important takeaway from this course is how much you learn about data and not necessarily how much you learn how to work with data. The weekly readings provided very real-world, practical examples of how data interacts with all of us in multifaceted ways every day. I never realized how much data I personally interacted with, especially in terms of social media. I really enjoyed our in class activities and assignments, as I learned why certain functions work and in which ways various functions are applicable through those assignments. This course will benefit me in the long run, as I will have a base knowledge of complex data analytics tools and applications in the MIS world.
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The most important thing that I can take away from this course is to not take information as true at first glance. This class has helped me become more skeptical of data and online articles. I think this is a great thing because the saying “don’t believe everything on the internet” is extremely importance. I’ve been able to effectively question information I have been receiving and determine its effectiveness since starting this class. When talking about this class I would tell other people about the sheer volume of information that data can teach an individual and how prevalent it is in today’s society.
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I think the most important takeaway from this course for me is how important data is in our daily lives and the many ways we can affect it and how it affects us. Another important takeaway has to be how the smallest mistakes can skew or drastically change a result or analysis. The course teaches you to be through in an analysis and to look for mistakes
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I think the most important takeaway was that data is everywhere in our daily lives and it how it affects us. Also, it shows how the data affects the decisions we make. If I had to explain this class to a scholar, I would tell them that they would learn how to interpret data into information and knowledge. Also, how to understand data visualization and meaning behind them.
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The most important takeaway from this class is that data is everywhere and it can be manipulated in many different ways. It can be shown in different amounts of visualizations and tables to project a certain view point or outliers. Therefore, I would describe this class as a way to explain data in a sense where it relates back to society and manipulating the data to show what exactly you or anyone else is looking for.
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In my opinion, the most important takeaway is to do your homework and research on your data and find out the credibility of it. In my opinion, it is common for someone to simply trust data they are given, which can cause big problems in your analysis. Not all data sets are free of bias etc. One thing I would tell to a fellow scholar is that it really opens your eyes to the same topic I just mentioned. You will never look at data in the same way again, and that is a good thing. Always be skeptical of your data!
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In my opinion the most important takeaway from this class is how important data is in our daily lives and how it affects our lives. I had learned that data is a part of my life in more ways than one such as in social media. The data I produce on social media can change what will show up on my feed and advertised for me. I also learned how mistakes in data can have large consequences like the Lehman Brothers sale where 179 toxic deals had to be be bought based off of hidden Excel cells that should have been deleted. I have learned now how to be more aware of the data I am using and how to correctly manipulate it. For a future MIS0855 scholar, I would say this course is that they will learn how data is more than just numbers on a spread sheet. What is contained that sheet can be interpreted into knowledge that can help them make decisions and conclusions about real life events. Also, how to question the data they come across and how credible it is to be used in their lives.
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The most important lesson I can take away from this class is that data and its analysis have a power otherwise unnoticed in my life. The capabilities of data analysis and drawing conclusions based upon large quantities of otherwise useless information to human analysis is the forefront of most business and tech fields. If an individual like myself wishes to graduate college with relevancy to the workforce a deep grasp of data analysis is necessary and most useful.
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In my opinion, the most important lesson I have taken away from this course is that data is everywhere and has a major impact on our lives. Data is important to learn about because of its power after analysis and the decisions that can be made according to our analysis of the data. Also, with technology constantly growing as we move into the future, things like insurance companies changing their rates on a daily basis is one of the major changes that could happen. Overall, knowledge about how data works and could be evaluated will help me in the future and I would tell a future MIS0855 scholar that this course will also help them deeply understand how data works, how to analyze the data, and properly display that information and knowledge.
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I believe that the most important takeaway from this course is to recognize how much data we interact with on a daily basis. It is also important to understand how data analysis leads to decision making which impacts our lives. This course showed me how important data is in our world today. I also learned about different ways to analyze and understand data. I believe that this course can teach a future student how to recognize the importance of data, and how to make informed decisions based on their knowledge of the analyzed data.
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I think the biggest takeaway for me was being able to utilize Excel and Tableau to transform and understand data. We are always around data, even without knowing it, and in most jobs there will be some type of data usage, so being able to use the data was the biggest takeaway for me. I would tell a future MIS0855 scholar that the class can be as easy or as difficult as you make it; all the work in-class and out is necessary to understanding the material. Also, do all the work on time!
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I think the most important take away from this semester was learning how to look for outliers and possibly messed up data in a data set. I feel that this skill will help me in my future career. I would say that MIS0855 was about recognizing data in your everyday life and learning how to analyze it and make sense of it to come to different conclusions.
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I think the most important takeaway from this course for me is how to work with data-based programs. I have rudimentary knowledge in Microsoft, but this course is the first I have heard of Tableau, Hadoop, Piktochart and et cetera. Because it is inevitable that I will work with data in my future career, I think it is important to have a run down of major data analysis software and some needed practice in order to navigate my way around the workplace later on. If I have to explain this course to someone else, I would say this is a wonderful entry-level course for any beginner who wants to seriously consider MIS as a focus of their academics and career.
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The most important takeaway from this course for me was gaining a better understanding of data and how often we use it. Data visualization tools like Tableau help to better interpret this data and I’m glad that I got an opportunity to learn how to use this tool. This understanding will help me not only in my business career, but in my personal life as well!
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I believe the biggest takeaway to this course is that Data really is EVERYWHERE around you. Everything from the people your surrounded by, to the phone you use everyday is all data and is constantly changing by the minute. Using the programs we have used in class such as Tableau, help us to look at these data changes in a more appealing way to those who are more inclined to learn visually then by auditory. My knowledge for EXCEL has no doubt increased dramatically ever since i began this course.
The best way to describe this class, is that you are visually creating data to use and studying just how deep Data and Metadata really is. It is not just simply numbers and letters. It is so much more than that.
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I think the most take away from the class is how to understand data and get useful information from our daily life, because data is all around us, like everywhere in our life. I would say this course is about understand and be able to use data to a future MIS0855 scholar, and to be sure, at least understand bias, and be able to avoid it in the future.
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My most important take away from this class is how much more powerful a visualization is rather than just raw data.A well created visual gives the audience a lot of information and knowledge in a quick way, looking at raw numbers would take days to extract the same insight. The best way to describe this class is that a student will be using tableau and excel for their knowledge to easily understand the data sets.
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I learned way more than I originally expected but the most important takeaway from this course was the impact of data. I never realized how much of an impact it has and how it really is everywhere. Yet, an even more important takeaway would be making my major MIS, which is very possible. I would describe this class as an insightful introduction into the world of data. MIS sounds like a complicated turn off but this is helpful and relevant for everyone, no matter the major.
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I believe that the most important takeaway from this course was how to create data visualizations out of massive data sets to more quickly come to conclusions and make decisions. This knowledge and skill of data manipulation will be very useful in the business world, no matter the type of work one goes into. I would describe this class as a course that teaches the skills to take a large data set and manipulate it into something that almost anyone can understand. The knowledge gained in this class can be applied to our daily lives.
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For me, I think working with data and excel and the experiences from combining these two will stay with me as I go forward in the business school. Prior to data science I can honestly say I felt anxious every time a recruiter would mention working with excel. I just never really worked with the software and hence did my best to avoid it when doing past assignments. I never knew excel can do so much honestly! Technical stuff has never been my forte but i think seeing data raw and organized with software like tablaue and excel has definitely made me more comfortable.
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I think the most important thing I’ve taken from this course is how to use data in many aspects of business and life. Knowing the difference between good and bad data is also very important. Data will be a part of any field I go into, so having a foundation will help me in the long run.
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The most important take away from this course was learning how to analyze data through relevant mediums such as Excel and Tableau. Data analytics plays a huge role in every job industry and can be useful to everyone. For me, this class helped me to decide on a clear career path. I want to work with marketing and data and I now know how I can link the two fields together to get results. Next semester, I am taking the next level, MIS 2101,so I feel as if I may have an advantage because I am already familiar with data analytics.
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In my opinion, the biggest takeaway that I got from this course was how much more effective data visualizations and infographics are, as opposed to actual numbered data. Visualizations summarize the data in a quick and easy way for the users to understand what is going on within the data. I would tell a future MIS 0855 scholar that this class gives you the basic understand about data and all of its components. I’d let them know that this class will help in many other courses and work opportunities.
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The most important take-away in my point of view if how prevalent data is in our everyday lives, and how it is used in almost any field (not just business) so it is very important to know and understand what makes up data and how data interacts with each other and the world around us. I would tell a future MIS scholar that this course is all about data and its purpose in our everyday lives, and how versatile and plentiful data is.
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In my opinion, the most important take away from MIS0855 is the combination of facts of how often we interact with data in our day to day lives and knowing how all of this data can be manipulated and misrepresented. Having this knowledge allows us to recognize misrepresented data in our day to day lives and makes us now think more critically off statistics that we view on the news.
If i had to describe data science to another person i would summarize it like this; Data Science teaches you about the what data is, how we obtain it, how we convert it to knowledge, and how we represent and clean it. -
I would say the most important takeaway from this course is learning about the Tableau software. Learning how to use data from excel spreadsheets and importing them to visualize data will prove rather useful for future classes. I believe that this aspect can help interpret, and project data in a way that allows audiences to view data more easily.
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Shana Pote wrote a new post on the site MIS 0855: Data Science Spring 2016 8 years, 7 months ago
Here is the exercise.
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Shana Pote wrote a new post on the site MIS 0855: Data Science Spring 2016 8 years, 7 months ago
Some quick instructions:
You must complete the quiz by the start of class on April 11, 2016. The quiz is based on the readings for the whole week.
When you click on the link, you may see a Google sign in […] -
Shana Pote wrote a new post on the site MIS 0855: Data Science Spring 2016 8 years, 7 months ago
Here is the exercise.
And here is the excel spreadsheet you will need to complete this exercise [In-Class Exercise 11.2 – NCAA 2013-2014 Player Stats].
Here is the answer key.
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Shana Pote wrote a new post on the site MIS 0855: Data Science Spring 2016 8 years, 7 months ago
On March 23, 2016, we had a guest presenter, one of my students from Fall 2015 semester, Logan Peterson. Logan is a sophomore Marketing student, also pursuing a double minor in Management Information Systems, and […]
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