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    • Health Data Management Certificate of Graduate Study from Rowan University
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Blog

Jan 6: Statistics in Practice

  • January 6, 2020
  • , 7:10 am

Statistics in Practice

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!

– Peter Bruce,
Founder and President

The Institute for Statistics Education at Statistics.com


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.

  • 45 Expert Instructors and Teaching Assistants who support you and the instructor
  • Small class size
  • Certified by SCHEV
  • Low Tuition Fees
  • High Student Satisfaction – 15,000 Alumni
  • College Credit Path (less than $200/ credit hour; most courses are are 3 credits)
  • New Courses Start Every Friday
  • 7 Certificate Programs
  • 90 Courses Throughout the Year
  • 12 Mastery Series

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

  • Introduction to Bayesian Statistics
  • Regression Analysis
  • Statistics 3 – ANOVA and Regression

January 24th

  • Rasch Measurement – Core Topics
  • Visualization in R with ggplot2

January 31st

  • Multivariate Statistics
  • Text Mining using Python
  • Introductory Statistics for College Credit

[See Calendar]


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

[See Mastery Series]


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.

  • Analytics for Data Science
  • Programming for Data Science
  • Biostatistics
  • Social Science Statistics

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.

[See Degree Programs]


Digital Badges

Digital badges provide employers and peers concrete evidence of what you have learned and the skills required to earn your credential. Each badge’s digital image holds verified metadata describing your qualifications and the mastery required to earn them.


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.


Contact Us To Register or Learn More

If you have any questions on our courses, certificates, and degree programs and how they can apply to you, your work, and to your career, please get in touch. We’re here to help you succeed.

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About Statistics.com

Statistics.com offers academic and professional education in statistics, analytics, and data science at beginner, intermediate, and advanced levels of instruction. Statistics.com is a part of Elder Research, a data science consultancy with 25 years of experience in data analytics.

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  • Making Predictions Self-Fulfilling Prophecies
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