Happy New Year! We are grateful for your continued support and appreciate your interest in learning more about statistics, analytics, and data science.
In this new year, think of your learning as an investment both in the future of your company and your career. Below are courses, certificates, and pathways to help you get started. We’re available to help you map out your plan.
See you in class!
We are Grateful and Proud
Since 2002, we have been the leading provider of online courses and certificates in statistics, analytics, and data science. More than 15,000 students have enrolled in our courses to earn CEUs, college credit, professional certificates and college degrees.
|
|
|
|
|
|
Upcoming Courses
January 3rd – Still time to join!
- Biostatistics for Medical Science and Public Health
- Predictive Analytics 3: Dimension Reduction, Clustering and Association Rules
- Introductory Statistics for College Credit
January 10th
- Introduction to Python Programming
- Predictive Analytics 1: Machine Learning Tools
- Optimization with Linear Programming
- Logistic Regression
January 17
January 24th
January 31st
Mastery Series
We’ve created 12 mastery series that include three to five courses (you choose 3), to help advance your learning and apply your new skills at work, immediately
Certificate Programs
Focus on Statistics, Analytics, or Data Science
Earn a certificate – master the critical skills needed to succeed in your career. You’ll participate in small online classes taught by leading industry and academic experts who provide the most comprehensive statistics and analytics curriculum available online.
Stackable Credentials
Build Undergraduate and Graduate Degrees and Certificates
Take courses one at a time and stack them into valuable credentials – 3-course masteries, 10-course certificates, and, through our academic partners, undergraduate and masters degrees.
Digital Badges
Highlights of our updated Website
Weekly Briefs
You can catch up on previous weekly briefings with links to all the blogs
Blog Resource
Take a look at statistical history, jobs, industry, book reviews, statistical problems and definitions to statistical words.