This week we discuss data leaks, which can render apparently well-performing machine learning models useless. Our spotlight is on the Thomas Edison University Data Science Analytics Master’s Program, which was developed in partnership with Statistics.com
See you in class!
– Peter Bruce
Founder of The Institute for Statistics Education at Statistics.com
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News You Need to Know
What’s happening in the field of Data Science, Analytics, Statistics?
Controlling Leaks
Good psychics have a knack for getting their audience to reveal, unwittingly, information that can be turned around and used in a prediction. Statisticians and data scientists fall prey to a related phenomenon, leakage, when they allow into their models highly predictive features that would be unavailable at prediction time. In one noted example,. (…)
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Student Spotlight – Thomas Karagiorgios
Thomas Karagiorgos from Thessaloniki, Greece, has an MBA and degrees in Sports Management & Recreation. He works in the outdoor recreation industry as an operations manager, and is also involved in marketing.
He started out at Statistics.com with the Structural Equation Modeling class, where he learned methods to understand relationships among multiple variables. He has a special interest in consumer behavior, and structural equation modeling techniques are useful in that field. And then he decided to go for the Social Science Statistics Certificate Program. (…)
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COURSE SPOTLIGHT
This week we highlight the Data Science Analytics Masters Program from Thomas Edison State University that is powered by Statistics.com curriculum and instructors. You’ll register for courses directly at Thomas Edison State University, and your Masters Degree will be conferred by Thomas Edison.
Is the Master’s in Data Science and Analytics for you? Several regular Statistics.com courses are accepted as transfer electives in the program, so you can take them and, if you are accepted into the Master’s program, transfer your Statistics.com credits into the program. Two courses that are coming up soon are:
● Regression Analysis (May 7 -June 4)
● Risk Simulation and Queuing (May 14 – June 11)
For more details about the Thomas Edison State University Master’s program, Click Here.
Note: If you have already taken a Statistics.com course, you’ll notice that the courses in the Thomas Edison Master’s Program are similar in learning style, but are 8 weeks long (they also have an extended project mentoring phase.)
