You’ve just discovered the most comprehensive collection of online data science courses available anywhere.
More than 15,000 students have used Statistics.com to gain deep knowledge in statistics, data science, and analytics to enhance their personal and professional development.
We provide students everywhere, in every industry, with the competitive edge, analytical intelligence, and statistical toolbox skills to begin, accelerate, or refine a career. At Statistics.com, we’re devoted to helping you master the critical skills you need to succeed.
Statistics.com was among the first institutions to embrace online teaching and learning.
We offer academic and professional education through specific coursework, mastery series, and certificate programs in statistics, analytics, and data science at beginner, intermediate, and advanced levels of instruction.
Statistics.com was founded as a private company in 2002 in Arlington, VA, USA, and was acquired in 2019 by Elder Research, Inc.
The Institute for Statistics Education is the instruction arm of Statistics.com. Peter Bruce, the founder of Statistics.com, co-authored the best-selling Machine Learning for Business Analytics in 2006 and introduced online data science courses at Statistics.com in 2002.
Many of our courses are eligible for academic credit through the recommendation of the American Council on Education. The Institute for Statistics Education is certified to operate by the State Council of Higher Education for Virginia (SCHEV).
Statistics.com is always seeking great educators and experts in the field of statistics, analytics, and data science.
Like the students they serve, our instructors never stop learning. They continuously reexamine their area of specialization, master digital education innovations, and impact their students.
Does this sound like you? Join a leading statistics education institute that’s transforming people’s lives and careers around the world.
Peter Bruce founded The Institute for Statistics Education at Statistics.com in 2002.
Prior to founding Statistics.com, Peter was the developer of Resampling Stats software and helped bring to market the data mining program “XLMIner”, later acquired by Frontline Systems. Previously, Peter worked as Marketing Manager at Cytel Software Corp., and for the U.S. Foreign Service. He holds degrees from Princeton, Harvard, and the University of Maryland.
Besides instructing at Statistics.com, Peter has taught statistics at the University of Maryland. He is a co-author of Machine Learning for Business Analytics, with Galit Shmueli, Nitin R. Patel, Mia Stephens, Inbal Yahav and Peter Gedeck (Wiley, 3rd ed. 2016; JMP version 2017; R version 2018, Python version 2019), Introductory Statistics and Analytics (Wiley, 2015), and Practical Statistics for Data Scientists, with Andrew Bruce and Peter Gedeck, (O’Reilly 2016 and 2020). His books have been translated into 6 languages.
Valerie Troiano directs operations for The Institute. She oversees student services, enrollment and registration, faculty support, scheduling of 100+ courses, and the learning management system. Valerie’s experience with statistics began with Resampling Stats, Inc., a predecessor firm, in 1994. Previously she directed sales and marketing teams for a hotel company and a contract furniture firm. She holds a degree from Northwestern University.
Janet Dobbins handles community outreach and strategic partnerships for The Institute, and coordinates our presence at professional conferences.
She works with colleges and universities to create innovative curriculum (for example, the undergraduate BS degree and a MS program in Data Science and Analytics at Thomas Edison State University) and industry teams to help them gain the necessary skills. The work and training at Minerals Technology, Inc (MTI) earned us the “Supplier of the Year”.
She has also served as the President of Data Community DC, a non-profit 501(c)(3) corporation committed to promoting data science by fostering education, opportunity, and professional development through high-quality community-driven events. There are 25,000+ data scientists within the DC area.
Previously she worked for Xerox Corporation as an Account Manager. She holds a degree from the University of Virginia.
Saul believes that training is a fundamental element of every successful consulting engagement. As Managing Director of Training Services, Saul helps clients realize the full value of engagements and to maximize team member potential.
Prior to Elder Research, he served as COO and co-founder of Metis Machine, a machine learning and deep learning platform company focused on helping clients use machine learning and AI to solve business problems. Saul has served at several start-ups including General Electric’s first cloud-based predictive analytics initiative. He is a frequent guest lecturer at the University of Virginia on topics such as operations, analytics, and strategy.
Saul earned an MBA at the University of Virginia and a BS in computer engineering from the University of Florida.
As a resident of Charlottesville, Saul enjoys exploring the Blue Ridge Mountains with his wife and children.
Born and raised in Oklahoma, Blake often begins conversations with “Howdy,” and ends with “y’all.”
After moving to Virginia in 2010, Blake received their Associate’s in Chemistry from BRCC and then completed their Bachelor’s in Neuroscience at George Mason University.
Blake has worked with people for over fifteen years. Whether teaching groups of varying ability levels swimming lessons, showing communities how to garden for food, or working with volunteers at non-profits, Blake utilizes their creativity to educate individuals of all ages.
Outside of ERI, Blake is a writer, studio artist, and proud pet parent of two cats and one dog. Blake does not believe in the ubiquitous “dog or cat” personality types; Blake believes their heart has enough room for them all (and the indelible fur on their clothes embodies this).
After this course, I have a high level understanding of the various advantages and disadvantages of the commonly used adaptive designs. I will use this information to propose Adaptive Designs at my workplace.
This course has been a great help to me. It will lead to a clearer understanding of the data and to better reports and articles.
The subject of identifying anomalies is a central task of academic historians, and this course allowed me the welcome luxury to reflect on their nature and methods of discovery.
