Dear All,

Our ITA, Nhi, has provided available time for her to hold the workshop. And I would like to know the time work for you.

Please click the following link to select all the available time slots for you: Tableau Workshop Time

Xue

Dear All,

There are some excellent resources about tableau for you to learn as a beginner.

Lynda.com (free for temple students, log in through TUportal) offers two useful courses related to the materials we taught in the class.

The first one is called Tableau Essential Training with Curt Frye. This video covers some basic steps of using Tableau which can help you understand the materials in class. If you finish this course (send me the course certificate), you can earn 10 extra points to your assignment 1.

Another course is called Creating Pivot Tables. Pivot Tables of Excel are the foundations of Tableau. Tableau just integrates different types of charts based on the text tables. This may help you understand the logic of Tableau.

Here is the Exam1 Review.

Here is the study guide for the first midterm exam.

Couple of items of your attention:

Exam info:

• Day: October 3, Wednesday
• Time: Between 4:00 and 4:50pm
• Location: Alter 232
• Closed-book and notes. No computers.

We will hold an exam review session:

• Day: October 1, Monday
• Time: Between 4:00 and 4:50pm
• Location: Alter 232

Suggested study approach:

• Review the Study Guide first, then:
• Start with the slides
  • Look at the major concepts
  • Where a slide is associated with a reading, review the reading that covers the major concept
  • Understand how the reading is associated with the slides, and the reading’s key concept
• Then look at the quizzes
  • Review the questions and answers to the quizzes
  • Understand where all the answers came from, review those readings
• Then review the in-Class Exercises
  • If we did it in an exercise, it’s probably important
  • Focus on topics we emphasized in the Exercises
• Then, review your Assignments.
• Lastly, re-read any readings you didn’t review in the prior study steps.

If you still need the Tableau key please email me ASAP.

Hi All,

Our ITA, Nhi Nguyen, will hold office hours on Friday from 2 to 3pm at Speakman 602 starting this week.

Hi All,

Please do not forget the readings of this week. We will discuss these two articles on Friday.

Data Science and Prediction (Go to Temple Library and search for “Data Science and Prediction” )

Three Science Words We Should Stop Using

FYI: Quiz 1 is for the readings of next week. We do not have quiz due this week.

Here is the syllabus for the course.

You should read the syllabus carefully. Everything you need to know is in this document.

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 make sense of it all? Those that can turn raw data into insight will be tomorrow’s decision-makers; those that can solve problems and communicate using data will be tomorrow’s leaders. This course will teach you how to harness the power of data by mastering the ways it is stored, organized, and analyzed to enable better decisions. You will get hands-on experience by solving problems using a variety of powerful, computer-based data tools virtually every organization uses. You will also learn to make more impactful and persuasive presentations by learning the key principles of presenting data visually.