Complete the activity (5.2) from class on Thursday, September 27 and email your infographic to me by Tuesday, October 2 before class to receive extra credit. The infographic needs to be the complete activity. You will not receive credit for a partial infographic.
Here is the study guide for the first midterm exam.
Our guest speaker on Thursday will be Maurice Whetstone of QVC. Please be sure to read Mr Whetstone’s bio below and come to class prepared to ask questions. You can also look at his information on Linkedin.
Maurice Whetstone joined QVC in May of 2013. He is currently the Director of Enterprise Data Management. Enterprise Data Management at QVC consists of three tenets:
- Business Intelligence
- Enterprise Data Warehousing
- Data Analytics
Throughout his career Maurice has led initiatives in several areas including but not limited to Electronic Data Interchange (EDI), E-commerce, E-business, Intranets, Customer Relationship Management (CRM), Business Intelligence(BI), Big Data and Enterprise Data Warehousing at companies such as Lenox China, Coach Inc. and Urban Outfitters, Inc.
Maurice has worked with and/or supported tools such as Crystal Reports, Cognos, Business Objects, MicroStrategy, Tableau, SAS, & Microsoft SQL Reporting Services. He has worked with databases such as DB2/400, Oracle, Microsoft SQL Server, Netezza and Teradata.
I received quite a few emails regarding the difficulty of getting Tableau through the site. It seems they use a 3rd party to verify if you are a student and that 3rd party is not easy to work with. I have requested bulk licenses which should be available in a week. I will email everyone when I have the keys. You do not need to request on the site anymore if you have not done so yet. I also updated the directions on how to get Tableau under guidelines.
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.