We are pleased to partner with Excelsior College in providing you with industry-relevant data science and analytic courses that will help you with your career. With Excelsior, you can take Statistics.com courses and have them map to 13 degree programs.
The field of data science is exploding and data scientists come from a variety of disciplines – engineering, math, computer science, business, IT, social science. The Bureau of Labor Statistics (BLS) projects a 30.9% growth in the field of data science with more than 10,000 new jobs. Statistics.com courses allow you to add this focus to your Excelsior degree.
Our courses are affordable, focused, and flexibly scheduled for working adults. Our expert instructors and teaching assistants are available to help you every step of the way!
AAT = | Associate in Applied Science in Technical Studies | AAT – Compt = | Associate in Applied Science in Technical Studies with a concentration in Computer Technologies |
BPT = | Bachelor of Professional Studies in Technology Manangement | BPT – IT = | Bachelor of Professional Studies in Technology Manangement with a concentration in Information Technology |
BIX = | Bachelor of Science in Information Technology | BIX – GEN = | Bachelor of Science in Information Technology with a general concentration |
BCY = | Bachelor of Science in Cybersecurity | BNX = | Bachelor of Science in Nuclear Engineering Technology |
BEL = | Bachelor of Science in Electrical Engineerng Technology |
AAB = | Associate in Applied Science in |
BPB = | Bachelor of Professional Studies in Business and Management |
BSB = | Bachelor of Science in Business |
BSL = | Bachelor of Science in Liberal Arts |
Statistics.com course | Credit | Excelsior College Degree |
Matrix Algebra Review | 3 Lower | AAT, BPT, BIX, BCY, BNX, BEL (AAB, BPB, BSB) BSL |
Introductory Statistics for College Credit | 3 Lower | AAT, BPT, BIX, BCY, BNX, BEL (AAB, BPB, BSB) BSL |
Predictive Analytics 1 – Machine Learning Tools | 3 Upper | AAB, BPB, BSB, BSL |
Predictive Analytics 2 – Neutral Nets and Regression | 3 Upper | AAB, BPB, BSB, BSL |
Predictive Analytics 3 – Dimension Reduction, Clustering and Association Rules | 3 Upper | AAB, BPB, BSB, BSL |
Interactive Data Visualization | 3 Upper | AAT- Compt; BPT- IT; BIX-GEN (AAB, BPB, BSB) BSL |
Introduction to Network Analysis | 3 Upper | AAT- Compt; BPT- IT; BIX-GEN (AAB, BPB, BSB) BSL |
Optimization – Linear Programing | 3 Upper | AAT- Compt; BPT- IT; BIX-GEN (AAB, BPB, BSB) BSL |
Forecasting Analytics | 3 Lower | (AAB, BPB, BSB) BSL |
Spatial Statistics and Geographic Information Systems | 3 Upper | (AAB, BPB, BSB) BSL |
Introduction to Python Analytics | 3 Lower | AAT- Compt; BPT- IT; BIX-GEN (AAB, BPB, BSB) BSL |
Cluster Analysis | 3 Upper | AAT- Compt; BPT- IT; BIX-GEN (AAB, BPB, BSB) BSL |
Risk, Simulation and Queuing | 3 Grad | BSB – counts as 3 Upper |
Financial Risk Modeling | 3 Upper | AAB, BPB, BSB, BSL |
Regression Analysis | 3 Grad | BSB – counts as 3 Upper |
Categorical Data Analysis | 3 Upper | AAB, BPB, BSB, BSL |
Customer Analytics in R | 3 Upper | AAB, BPB, BSB, BSL |
Integer & Nonlinear Programming and Network Flow | 3 Upper | AAT- Compt; BPT- IT; BIX-GEN ; Will not fit into MCY (AAB, BPB, BSB) |
R Programming- Introduction 1 | 3 Lower | AAT- Compt; BPT- IT; BIX-GEN, BSL |
R Programming- Introduction 2 | 1 Lower | AAT- Compt; BPT- IT; BIX-GEN, BSL |
SQL-Introduction to Database Queries | 3 Lower | AAT- Compt; BPT- IT; BIX-GEN, BSL |
BioStatistics for Medical Science and Public Health 1 & 2 | 3 Upper | AAB, BPB, BSB, BSL |
R Programming-Intermediate | 3 Upper | AAT- Compt; BPT- IT; BIX-GEN, BSL |
Introduction to NLP and Text Mining | 3 Lower | AAT- Compt; BPT- IT; BIX-GEN, BSL |
NLP and Deep Learning | 3 Upper | AAT- Compt; BPT- IT; BIX-GEN, BSL |
Persuasion Analytics and Targeting | 3 Upper | AAT- Compt; BPT- IT; BIX-GEN, BSL |
Calculus Review | 2 Lower | AAT, BPT, BIX, BCY, BSL, AAB,BPB,BSB |
Designing Valid Statistical Studies | 3 Lower | AAT, BEL, BNX, BSL, AAB, BPB, BSB |
Epidemiological Statistics | 3 Upper | AAT, BPT, BCY, BEL, BIX, BNX, BSL, AAB, BSB, BPB |
Introduction to Python Programming | 3 Lower | AAT, BCY-GEN, BEL, BIX, BNX, BPT, BSL, AAB, BPB, BSB |
Meta Analysis | 1 Lower | AAT, BPT, BCY, BEL, BIX, BNX, BSL, AAB, BSB, BPB |
Predictive Analytics for Health Care | 3 Grad | BSL using R (counts as 3 Upper, not Grad) |
Responsible Data Science | 3 Grad | BIX |
Statistical and Machine Learning Methods for Analyzing Clusters and Detecting Anomalies | 3 Grad | AAB, BPB, BSB, BSL using R – counts as 3 Upper, not Grad |
This program plan outlines how students can apply their Statistics.com courses to Excelsior College’s B.S. in Business degree program.
This guide is only a sample scenario. Excelsior College reviews every student individually. Actual requirements will be dependent on the courses a student transfers and the application date with Excelsior.
Revision: October 2021
Statistics.com Training | Semester Hours | Excelsior College Requirements | Semester Hours |
Introductory Statistics for College Credit | 3 | MAT 201: Statistics | 3 |
Matrix Algebra Review | 3 | MAT 114: Intermediate Algebra | 3 |
Predictive Analytics 1 – Machine Learning Tools | 3 | Arts & Sciences Electives | 3 |
Predictive Analytics 2 – Neutral Nets and Regression | 3 | Arts & Sciences Electives | 3 |
Predictive Analytics 3 – Dimension Reduction, Clustering and Association Rules | 3 | Arts & Sciences Electives | 3 |
Interactive Data Visualization | 3 | Elective | 3 |
Introduction to Network Analysis | 3 | Elective | 3 |
Optimization-Linear Programing | 3 | Arts & Sciences Electives | 3 |
Forecasting Analytics | 3 | Arts & Sciences Electives | 3 |
Financial Risk Modeling | 3 | Business Elective (Graduate) | 3 |
Integer & Nonlinear Programs | 3 | Business Elective (Graduate) | 3 |
Regression Analysis | 3 | Business Elective (Graduate) | 3 |
Risk Simulation and Queuing | 3 | Business Elective (Graduate) | 3 |
TOTAL | 39 |
Statistics.com Training | Semester Hours | Excelsior College Requirements | Semester Hours |
Matrix Algebra Review | 3 | Arts and Science Elective | 3 |
Introductory Statistics for College Credit | 3 | Mathematics Elective | 3 |
Introduction to Python Programming | 3 | Technology Elective | 3 |
Introduction to Python Analytics | 3 | Technical Electives (Concentration) | 3 |
R Programming – Introduction 1 | 3 | Applied Professional Electives | 3 |
R Programming – Introduction 1 | 3 | Applied Professional Electives | 3 |
SQL – Introduction to Database Queries | 3 | Technical Electives (Concentration) | 3 |
Introduction to NLP and Text Mining | 3 | Applied Professional Electives | 3 |
NLP and Deep Learning | 3 | Applied Professional Electives | 3 |
Persuasion Analytics and Targeting | 3 | Applied Professional Electives | 3 |
TOTAL | 27 |
This program plan outlines how students can apply their Statistics.com courses to Excelsior College’s B.S. in Liberal Arts degree program. The software focus is R (open-source and free).
This guide is only a sample scenario. Excelsior College reviews every student individually. Actual requirements will be dependent on the courses a student transfers and the application date with Excelsior.
Revision: September 2021
This program plan outlines how students can apply their Statistics.com courses to Excelsior College’s B.S. in Liberal Arts degree program. The software focus is Python (open-source and free).
This guide is only a sample scenario. Excelsior College reviews every student individually. Actual requirements will be dependent on the courses a student transfers and the application date with Excelsior.
Revision: September 2021
This program plan outlines how students can apply their Statistics.com courses to Excelsior College’s B.S. in Information Technology degree program.
This guide is only a sample scenario. Excelsior College reviews every student individually. Actual requirements will be dependent on the courses a student transfers and the application date with Excelsior.
Highlighted classes can be used at the undergraduate or graduate level, not both.
Revision: October 2021
Statistics.com | Semester Hours | Excelsior College Requirements | Semester Hours |
---|---|---|---|
Introduction to R Programming | 3 | Free Elective | 3 |
Matrix Algebra Review | 3 | Arts & Sciences Requirement | 3 |
R Programming – Intermediate | 3 | Free Elective | 3 |
SQL – Introduction to Database Queries | 3 | Database Concepts | 3 |
Responsible Data Science | 3 | Free Elective (Grad option) | 3 |
TOTAL | 15 |
Need more information? Schedule a call with Robert.
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