@nhi-nguyen
Active 4 years, 4 months ago-
Sezgin Ayabakan wrote a new post on the site MIS 0855-004: Data Science Spring 2018 6 years, 9 months ago
Here is the syllabus for the course.
You should read the syllabus carefully. Everything you need to know is in this document.
-
Sezgin Ayabakan wrote a new post on the site MIS 0855-001: Data Science Spring 2018 6 years, 9 months ago
Here is the syllabus for the course.
You should read the syllabus carefully. Everything you need to know is in this document.
-
Sezgin Ayabakan wrote a new post on the site MIS 0855-004: Data Science Spring 2018 6 years, 9 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 […]
-
Sezgin Ayabakan wrote a new post on the site MIS 0855: Data Science Fall 2017 6 years, 11 months ago
Dear All,
I am very sad to announce that our review session that was going to hosted by our ITA Prince is cancelled due to his absence. I apologize on behalf him. I’m in South Korea for our annual i […]
-
Sezgin Ayabakan wrote a new post on the site MIS 0855: Data Science Fall 2017 6 years, 11 months ago
Hi All,
As you know we won’t have class on Dec 8 (Friday) and Dec 11 (Monday) due to my conference travel to South Korea.
However, Prince will hold a review session on Dec 8 at 4pm in Alter 232.
Thank you […]
-
Sezgin Ayabakan wrote a new post on the site MIS 0855: Data Science Fall 2017 6 years, 11 months ago
Hi Everyone,
This is a reminder that our final exam will take place on Dec 15 Friday at 1pm. You will have 1 hour to complete the exam and it will be in our regular classroom–Alter 232. See the schedule of […]
-
Sezgin Ayabakan wrote a new post on the site MIS 0855: Data Science Fall 2017 6 years, 11 months ago
Here is the study guide for the third (final) exam.
-
Sezgin Ayabakan wrote a new post on the site MIS 0855: Data Science Fall 2017 6 years, 11 months ago
Here is the exercise.
And here is the spreadsheet you’ll need [In-Class Exercise 13.2 – VandelayOrdersAll.xlsx].
-
Sezgin Ayabakan wrote a new post on the site MIS 0855: Data Science Fall 2017 6 years, 11 months ago
Here is the exercise
-
Sezgin Ayabakan wrote a new post on the site MIS 0855: Data Science Fall 2017 6 years, 11 months ago
Leave your response as a comment on this post by the beginning of class on November 29. Remember, it only needs to be three or four sentences. For these weekly questions, I’m mainly interested in your op […]
-
Team Poland Spring
1) We chose to examine the data “Farmer Markets in New York State.” We want to analyze the difference between each farmer market based on their County, Location, Operation Hours, and Name to compare and come up with traits that offer a more successful market.
2) Our group members: Christopher B., Dominic E., Nhi N., Hayden T., Chavisa A. -
1) We are examining data that comes from each of our top 10 movies of all time. The data we will be examining from these movies are their rotten tomatoes scores, lMBd scores, movie ratings, box office success, etc.
2) Our group members: Andrew Kent, Seth Dennis, Janea Johnson, Stanley Levy, Kieran Bunney, Aislan Watt
-
Datanova
1) Our subject is the immunization rate of pertussis and its incidence percentage. The data were collected from 7th-grade students who attended public/private school in the state of California. If more and more parents choose to follow the scientific method of immunization, would that lower the incidence percentage2) Our group members: Hanyu Sun, Ziliang Zhang, Tianyun Li.
-
S.A.W.R (C.A.S & R&W)
1- The subject of our group project is employees salaries in Philadelphia. We want to analyze what jobs get paid highest and lowest and try to predict future best paying jobs in Philadelphia based on the last two years.
2- Our group members are: Sarah M, Amjad, Ryan N, and Will B.
-
1. The subject of our project is to see if the attendance of fans at a basketball game have any affect on the NBA team record
2. Our group Members are: Ian B, Branden M, William K, and Andrew K -
1. the topic of our project is to see if the more point being score in a game of a team will define their rank in the season.
2. Group members: Lihong, Khoa, Shuting -
1.Our group subject is to analyze the CPI for food from 2015 to 2018. Specifically, our team will analyze the changes in food price indexes.
2.Group members: Chengye H., Zihao P., Xiaohan S. Zhongzheng S. -
.1. The subject of our project is to see if the attendance of fans at a basketball game have any affect on the NBA team record
2. Our group Members are: Ian B, Branden M, William K, and Andrew K -
1. Our group project is to analyze ridership of Indego bike share bikes.
2. Our group members are: Zach, Sean, Jack, Jake, Subin -
We chose to do police shootings around the country, the number of people killed during these standoffs, and looking at both parties during these incidents.
Teammates: Will Mobley, Erin Buckley, Zaur Bilalov, Bafode Keita, Kiba Kone, and Vignesh Sanuvalva
Reply
-
-
Sezgin Ayabakan wrote a new post on the site MIS 0855: Data Science Fall 2017 6 years, 11 months ago
Some quick instructions:
You must complete the quiz by the start of class on November 27
When you click on the link, you may see a Google sign in screen. Use your AccessNet ID and password to sign […] -
Sezgin Ayabakan wrote a new post on the site MIS 0855: Data Science Fall 2017 6 years, 11 months ago
Here is the assignment that is worth 2 points on your end semester class average. Due December 4.
-
Sezgin Ayabakan wrote a new post on the site MIS 0855: Data Science Fall 2017 6 years, 11 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].
-
Sezgin Ayabakan wrote a new post on the site MIS 0855: Data Science Fall 2017 6 years, 11 months ago
Here is the exercise.
-
Michelle Purnama joined the group Temple MIS 6 years, 11 months ago
-
Sezgin Ayabakan wrote a new post on the site MIS 0855: Data Science Fall 2017 6 years, 12 months ago
Here is the assignment. Due Dec 4.
-
Sezgin Ayabakan wrote a new post on the site MIS 0855: Data Science Fall 2017 6 years, 12 months ago
Here is the exercise.
Here is the excel spreadsheet you will need to complete this exercise [In-Class Exercise 11.2 – NCAA 2013-2014 Player Stats]
-
Sezgin Ayabakan wrote a new post on the site MIS 0855: Data Science Fall 2017 6 years, 12 months ago
Here is the exercise.
-
Sezgin Ayabakan wrote a new post on the site MIS 0855: Data Science Fall 2017 6 years, 12 months ago
Leave your response as a comment on this post by the beginning of class on November 15,. Remember, it only needs to be three or four sentences. For these weekly questions, I’m mainly interested in your opinions, n […]
-
One of the biggest issues we faced was deciphering all of the data. There was a huge amount of data which contained multiple errors and it was very difficult to pick my way through. Once the data was deciphered it went off without a hitch, but this initial challenge was very tough to overcome.
-
If I were to try and access the data from Blackboard, the columns would represent course, grades, assignments, and announcements. The columns would then have the name of the course, the grade in it, assignments, and the announcements as well as the names of the instructors/professors.
-
I would use Amazon.com where the columns would be the departments, deals, browsing history, sign in, orders, cart. In each column starting with departments, includes all the categories where you can choose to buy something, the deals would have all the types of deals, the browsing history will show you what you have searched up, the sign in would show you a text box to enter username and password, the orders will show you orders, and the cart will show you what you have added to your cart.
-
I’m in charge of emailing list for Temple Consulting Club. I keep track of attendance as well as active membership of students. Th columns are: Student Name, TUID, TUEmail, Graduated Year, Major. The rows are the data insert of attendees and upcoming active members of the club.
-
I usually use WebAssign, the site that allows professors to assign the homework online. The score of the homework will be graded by computer, so I can see my score after I finish the assignments. I can rerecord my list of the score by creating each row for each assignment and columns for the number of homework, score, and date.
-
I would want to store data in a spreadsheet for Canvas because the site informs me of upcoming assignments, current grade, and any announcement for class. The row would be the courses that I am currently taking. Some of the columns would be number of announcements, number of assignments, current grade, number of people in class, and number of files.
-
A data-driven service that i often use is Canvas. If i wanted to store data for them in a spreadsheet, The column would be the courses, time, location and the name of the professor. The rows would be the attendance, assignments, tests, exams, and homework with the due dates.
-
One data-driven source that I use a lot is Twitter. The columns would represent different twitter accounts/profiles and then the rows would be the different things that account has liked or retweeted. The rows could also represent the amount of likes a retweets that each individual post received. Columns could also represent different subjects of posts such as animals, politics, sports, etc instead of by profile.
-
I choose Blackboard to store data for the information of the course, grade, location etc. The data I would like to place in the column section are grade, credit hour, time of the class, class location, instructor’s name, homework, and coming test date. For the row section, I will put in class name with its abbreviation and related semester. By placing data this way, student can have a clear look for their class, especially “homework” and “coming test date” can remind and let student be aware of their schedules. The “grade” column can provide student a measure of their performance.
-
If I were using Blackboard data in Excel, the columns would be the class, and the rows would be my quiz, test, homework, and project averages for that class. This would help me keep track of all my grades at a glance.
-
I would use Canvas where the columns will have the name of the course and professor, assignments that due or any future ones, grades from the homework, quizzes, and exams. This would be a representation of expectations of the course, and on my behalf what it takes to get an A.
-
One data driven service I use is Amazon. A row would be the product I have ordered. The columns would be the cost of the order, the date it was ordered, the date it was shipped, the date it was received, and a review of the product.
-
If I were using blackboard, some of rows would be grades, assignments, discussions, etc. The data columns would be the data pertaining to each row. This could include assignment names, assignment grades, assignment due dates, etc.
-
I data-driven I use is Twitter, I would add users accounts in columns and in rows I would add a row for each: number of following, number of followers, number of tweets, number of tweets and replies, media, and likes.
-
Amazon has a huge database, I use Amazon a lot. Every time I log in Amazon, the rows would be my account, orders, prime and shopping cart. The columns would be many types conditions or filters for the things I searched, like the price interval, the color, the brand and so on.
-
I am willing to choose Canvas to store data about information of my academic study plan. In the row section, I would like to put the courses’ name and number. The data I would like to put in the column section are class’s time, location, professor’s information, and upcoming events such as homework and exams’ due date. Also, I prefer putting the semester’s information, like which semester I took this, and how many credit hours I earned from this course.
-
I use blackboard everyday to check homework and my grades. For the rows, it would be grades, assignments and announcements whereas the columns would be the grade received for certain assignments, name of the assignments, and the specific date that the announcements have been made.
-
I think that the rows would be user names or profile names. This would help since it should be user by user data not platform based. Each user would have data recorded in the columns about time on the platform, time of login, type of user, some measurement of activity, and maybe other credentials of the user depending on security.
-
I wanted to make sure I said that blackboard and tuportal were my choice data sights.
-
-
I use blackboard almost everyday.
I would make the columns Grade, location, professor, credit hours worth. and then I would make the rows the names of classes. I could use this to track all the classes that I have taken and will take at Temple. Any other user could fill in his or her information as this is a very universal tool. -
I often use blackboard, and for a spreadsheet for blackboard the rows would represent the classes that i take. The columns would be my grades on tests, assignments, homework, and it would count attendance.
-
I check my grades from blackboard everyday. If I were to create a spreadsheet for my personal grades to keep track, some columns would be attendance, homework, projects, quizzes, test, and overall score. Rows would consist of class title and professor name. I would insert the data into each field by putting in my grade for each specific column and taking the average for an estimated overall grade that I have so far in the semester.
-
I use a Node Module called System information nearly everyday to map out the status of my server. It has many sheets available, but let’s take one example, si.cpu():
it has these columns:
manufacturer e.g. ‘Intel(R)’
brand e.g. ‘Core(TM)2 Duo’
speed in GHz e.g. ‘3.40’
speedmin in GHz e.g. ‘0.80’
speedmax in GHz e.g. ‘3.90’
cores # cores
vendor Vendow ID
family Processor Family
Model Processor Model
stepping Processor Stepping
revision Revision
cache cache in bytes (object)
cache.l1d L1D (data) size
cache.l1i L1I (instruction) size
cache.l2 L2 size
cache.l3 L3 sizeI use this data to map out every detail about the server.
-
Amazon is a data-driven service I use frequently, the columns could be ordered day, price, quantity, color, size, delivered day, name of vender. And the row could be the name of the product.
-
I use the ESPN Fantasy Football a lot during the NFL season and the app is full of data. Rows in the spreadsheet would contain different data, such as player name, player position, fantasy points scored, projected fantasy score, etc.
-
If I were to attempt to organize my tweets I would create a spread sheet featuring Columns like Date, #Likes, #Retweets, tweet contents (text, .img, .mp3, video) and the tweet itself. This would allow me to better understand the performance of my tweets.
-
If I were to attempt to organize my tweets I would create a spread sheet featuring Columns like Date, #Likes, #Retweets, tweet contents (text, .img, .mp3, video) and the tweet itself. This would allow me to better understand the performance of my tweets. the row would represent the overall performance.
-
i have used canvas a lot since i started to study in college and the app provide me full data of courses. the row contain multiple of data such as name course, course number and the season of the course whereas the columns provide announcement, assignments, and grades and more. this would let me know better on how my course processing and if i doing well on the course. the row will let me know what course do i register for the semester or quarter.
-
If I was storing data from twitter in an excel sheet I would use each account as the row. And in columns I would have their first and last name, number of tweets, number of likes and retweets, number of followers, number of people they follow, when the account was activated, and any links they may have to other social media accounts or websites.
-
For Amazon, there will be users/order/product/address rows. And columns as following:
Users: user_id, age, address_id, order_id
Order: order_id, user_id, product_id
Product: prodcut_id, description
Address: address_id, state, city, zip_code -
I work for Amazon so that’s easy for me. For columns I would put item number, name, description, if it’s prime or not, price, shipping, ratings.
However, I would separate the rows by categories and departments. -
This is Seth Dennis. I never signed in and the name is autofilled.
-
On Amazon.com I tend to purchase many blu-rays. The rows for these purchases would be the name of the movies I purchased. The columns would include the price, year of release, rotten tomatoes score, type of blu-ray and genre of the movie. This is exactly what the data would look like if I were to implement it onto a spreadsheet.
-
I would use Facebook. I would use their profile account in the column and I would add a few other rows for Facebook. I would use the numbers of friends they have. They number of people who want to become their friends. How many post they have. Also, how many pictures they post. Lastly how many statuses they like.
-
I would use Canvas to store data. Canvas will remain me the coming up assignments which i should finish them. In addition, i can see my grade on it and we can see how many tasks we finished recently. In some rows, it will show how many courses you are taking, and you can see the courses’ name and the professor’s name of them.
-
In blackboard, the rows could be the class names while the columns include overall grade, attendance, test average, quiz average, and homework grade.
-
-
Sezgin Ayabakan wrote a new post on the site MIS 0855: Data Science Fall 2017 6 years, 12 months ago
Some quick instructions:
You must complete the quiz by the start of class on November 13
When you click on the link, you may see a Google sign in screen. Use your AccessNet ID and password to sign in. […] - Load More