Course Schedules
Course dates and registration deadlines for all courses offered within the Institute for Analysis and Industry Advancement (IAIA).
Data Science Undergraduate Certificate
| CRN | Term | Dates | Registration Deadline | Instructor |
|---|---|---|---|---|
| 16013 | Spring POT2 | 1/8-3/2 | 1/7/2024 | Cohen |
Course Description:
Throughout the course, there will be hands-on exercises with computing resources. The course will include introductions to several packages in R, particularly Tidyverse, libraries in Python such as Pandas/NumPy/Statsmodels, SQL clauses and summary statistics, and Spark framework for distributed computing.
| CRN | Term | Dates | Registration Deadline | Instructor |
|---|---|---|---|---|
| 16062 | Spring POT2 | 1/8-3/2 | 1/7/2024 | Zambesi |
| 16063 | Spring POT3 | 3/4-5/4 | 3/3/2024 | Zambesi |
Course Description:
This builds the fundamentals of statistics necessary for students to perform and interpret appropriate hypothesis tests using software based on the data and research questions at hand.
| CRN | Term | Dates | Registration Deadline | Instructor |
|---|---|---|---|---|
| 16180 | Spring POT2 | 1/8-3/2 | 1/7/2024 | Seals |
| 16418 | Spring POT3 | 3/4-5/4 | 3/3/2024 | Seals |
Course Description:
Statistics for Data Science II is a second course in statistics for students in data science. This course covers the application of regression analysis techniques using softwares for statistical analysis. Broadly, students will learn how to construct statistical models and disseminate results to a wide audience. There will be a focus on choosing the appropriate modeling strategy for the data and research questions at hand.
Data Science Graduate Certificate
| CRN | Term | Dates | Registration Deadline | Instructor |
|---|---|---|---|---|
| 15802 | Spring POT2 | 1/8-3/2 | 1/7/2024 | Cohen |
| 15803 | Spring POT3 | 3/4-5/4 | 3/3/2024 | Cohen |
Course Description:
Gain hands-on knowledge of tools for data science using R, Python, SQL, and Spark. The course provides introductions to several packages in R, particularly Tidyverse, libraries in Python such as NumPy and Pandas, SQL clauses and summary statistics, and Spark framework for distributed computing. You will also learn about RStudio, GitHub, and RMarkdown. To end this course, you will conduct a final project to work on real-world problems.
| CRN | Term | Dates | Registration Deadline | Instructor |
|---|---|---|---|---|
| 15805 | Spring POT2 | 1/8-3/2 | 1/7/2024 | Snider |
| 15806 | Spring POT3 | 3/4-5/4 | 3/3/2024 | Snider |
Course Description:
Organizations can generate copious amounts of data. Extracting useful knowledge from data Warehouses to utilize in decision-making can provide a competitive advantage for an organization by identifying strengths and weaknesses. In this course, you will learn data warehouse organization, how to analyze data through analytical queries, and apply machine learning algorithms to build predictive models.
| CRN | Term | Dates | Registration Deadline | Instructor |
|---|---|---|---|---|
| 16064 | Spring POT2 | 1/8-3/2 | 1/7/2024 | Zambesi |
| 16065 | Spring POT3 | 3/4-5/4 | 3/3/2024 | Zambesi |
Course Description:
This builds the fundamentals of statistics necessary for students to perform and interpret appropriate hypothesis tests using software based on the data and research questions at hand.
| CRN | Term | Dates | Registration Deadline | Instructor |
|---|---|---|---|---|
| 16684 | Spring POT2 | 1/8-3/2 | 1/7/2024 | Seals |
| 16685 | Spring POT3 | 3/4-5/4 | 3/3/2024 | Seals |
Course Description:
Statistics for Data Science II is the second course in statistics for students in data science. This course covers the application of regression analysis techniques using software for statistical analysis. Broadly, students will learn how to construct statistical models and disseminate predictions and results to a wide audience. There will be a focus on choosing the appropriate modeling strategy for the data and research questions at hand
SOLIDWORKS Professional
| CRN | Term | Dates | Registration Deadline | Instructor |
|---|---|---|---|---|
| 16989 | Spring POT1 | 1/8-5/4 | 1/7/24 | Hand |
| Non-credit | Open Enrollment | Hand |
Fundamentals of Engineering ME
| CRN | Term | Dates | Registration Deadline | Instructor |
|---|---|---|---|---|
| 16690 | Spring POT1 | 1/8-5/4 | 1/7/2024 | Reynolds |
Fundamentals of Engineering ECE
| CRN | Term | Dates | Registration Deadline | Instructor |
|---|---|---|---|---|
| 15669 | Spring POT1 | 1/8-5/4 | 1/7/2024 | McGuirk |
CompTIA Security+
| CRN | Term | Dates | Registration Deadline | Instructor |
|---|---|---|---|---|
| 15125 | Spring POT1 | 1/8-5/4 | 1/7/2024 | Al-Abed |
Big Data Analytics for Data Science
| CRN | Term | Dates | Registration Deadline | Instructor |
|---|---|---|---|---|
| 16690 | Spring POT2 | 1/8-3/2 | 1/7/2024 | Fang |
Deep Learning for Data Science
| CRN | Term | Dates | Registration Deadline | Instructor |
|---|---|---|---|---|
| 16692 | Spring POT2 | 1/8-3/2 | 1/7/2024 | Pu |
Machine Learning for Data Science
| CRN | Term | Dates | Registration Deadline | Instructor |
|---|---|---|---|---|
| 16691 | Spring POT3 | 3/4-5/4 | 3/3/2024 | Jalaian |
Six Sigma Certification
| CRN | Term | Dates | Registration Deadline | Instructor |
|---|---|---|---|---|
| 17070 | Spring POT3 | 3/4-5/4 | 3/3/2024 | Amer |