Statistics.com has a unique catalog of ACE-evaluated courses in a variety of areas of statistics and data analytics that can be used for undergraduate or graduate credit. A bonus is that they have partnerships extend beyond just guaranteeing their courses transfer. These partnerships have degree plans that use the Statistics.com courses as the major. This, by extension, allows your teen to earn most or all of a degree in statistics or data science while Homeschooling for College Credit. Many students can finish the whole, or most, of the degree in high school.
Statistics.com began offering online courses in statistics in 2002, and now provides approximately 100 courses each year. Topics include a full sequence of introductory statistics courses, bridge courses to more advanced topics, and courses in biostatistics, predictive modeling, text mining, business analytics, survey statistics, and statistical programming in R, Python and SQL. Statistics.com has over 50 instructors, who are recruited based on their expertise in various areas in statistics (most are the authors of well-regarded texts in their area). Senior faculty who have made important contributions to the field of statistics or online education in statistics (each with over five years of teaching experience online at Statistics.com) advises the president on curriculum and standards.
Courses are scheduled for specific calendar periods (3 or 4 weeks), but do not require students to be online at particular times. Students discuss statistical questions with the instructor via a private class discussion forum, teaching assistants offer feedback on homework assignments (most of which involve the use of statistical software), and administrative staff handle student services and inquiries by email or phone.
These courses can also be used at colleges or university that accept ACE credits or are inside a partnership with Statisticscom. MANY of these courses are evaluated as upper-level (300-400) college credit.
Full Catalog / Class Schedule / Price List
Use our exclusive code “HS4CC” to get 20% off any course.
|Course Title||ACE ID||ACE Evaluation End Date||College Credits|
|Introduction to R Programming||STAT-0014||08/31/2024||3|
|Categorical Data Analysis||STAT-0006||05/31/2024||3|
|Financial Risk Modeling||STAT-0008||05/31/2024||3|
|Risk, Simulation and Queuing||STAT-0010||05/31/2024||3|
|Introductory Statistics for College Credit||STAT-0001||05/31/2024||3|
|Python for Analytics||STAT-0011||05/31/2024||3|
|Spatial Statistics with Geographic Information Systems||STAT-0016||05/31/2024||3|
|Integer & Nonlinear Programming and Network Flow||STAT-0019||05/31/2024||3|
|Optimization – Linear Programming||STAT-0022||05/31/2024||3|
|Introduction to Network Analysis||STAT-0026||05/31/2024||3|
|Interactive Data Visualization||STAT-0028||05/31/2024||3|
|Predictive Analytics 3 – Dimension Reduction, Clustering, and Association Rules||STAT-0024||05/31/2024||3|
|Predictive Analytics 2 – Neural Nets and Regression||STAT-0030||05/31/2024||3|
|Predictive Analytics 1 – Machine Learning Tools||STAT-0029||05/31/2024||3|
|Matrix Algebra Review||STAT-0032||05/31/2024||3|
|Customer Analytics in R||STAT-0031||05/31/2024||3|
|Statistical and Machine Learning Methods for Analyzing Clusters and Detecting Anomalies||STAT-0046||04/30/2024||3|
|Predictive Analytics for Healthcare||STAT-0044||04/30/2024||3|
|Responsible Data Science||STAT-0043||04/30/2024||3|
|Designing Valid Statistical Studies||STAT-0042||04/30/2024||1|
|Introduction to Statistical Issues in Clinical Trials||STAT-0039||04/30/2024||2|
|Introduction to Python Programming||STAT-0037||04/30/2024||3|
|Introduction to Data Literacy||STAT-0036||04/30/2024||1|
|Persuasion Analytics and Targeting||STAT-0035||04/30/2024||3|
|NLP and Deep Learning||STAT-0034||04/30/2024||3|
|Introduction to NLP and Text Mining||STAT-0018||04/30/2024||3|
|SQL – Introduction to Database Queries||STAT-0017||04/30/2024||3|
|R Programming – Intermediate||STAT-0015||04/30/2024||3|
|R Programming – Introduction 2||STAT-0013||04/30/2024||1|
|Biostatistics for Medical Science and Public Health 1 & 2||STAT-0002||04/30/2024||3|