1. LISA (Laboratory for Interdisciplinary Statistical Analysis) provided a series of evening short courses to help graduate students use statistics in their research. The focus of these two-hour courses was on teaching practical statistical techniques for analyzing or collecting data.

March 26, 2013
Classification and Regression Trees (CART)
Instructor: Dr. Chris Franck

Classification and regression tree (CART) methods are a class of data mining techniques which constitute an alternative approach to classical regression. CART methods are frequently used in applications where it is difficult to specify an appropriate regression model explicitly. In this short course we will provide an overview of CART methods, apply these approaches to gain practical insight from data, demonstrate techniques to visualize predictions in the CART framework, and compare and contrast these methods with regression and other approaches. The goal is for students in this class to learn why, when, and how to use CART in their research. Students should have basic understanding of statistical principals and regression for this course. We will the R statistical programming package.

Course files are available on the course webpage (lisa.stat.vt.edu/?q=node/5437).

2. LISA (Laboratory for Interdisciplinary Statistical Analysis) provided a series of evening short courses to help graduate students use statistics in their research. The focus of these two-hour courses was on teaching practical statistical techniques for analyzing or collecting data.

March 18, 2013
Data Mining Basics
Instructor: Marcos Carzolio

Data mining is a growing field of research at the nexus of computer science and statistics. With the advent of the Internet and remote sensing, the challenges of manipulating and learning from “big data” have taken an increasingly prominent role in modern research. This short course will cover the fundamentals of the statistical aspects of data mining, from regression and classification to clustering and neural networks. Students should expect to leave the course with a broad understanding of the tools of statistical learning, along with a handful of references for the application of more advanced methods.

Course files are available on the course webpage (lisa.stat.vt.edu/?q=node/5262).

3. LISA (Laboratory for Interdisciplinary Statistical Analysis) provided a series of evening short courses to help graduate students use statistics in their research. The focus of these two-hour courses was on teaching practical statistical techniques for analyzing or collecting data.

March 5, 2013
How to make plots to tell the story of your data
Instructor: Andy Hoegh

Visualizing your data is an essential first step for any statistical analysis and often times the graph itself provides the best statistical interpretation of the data. This course will present principles of good graphics and provide examples to help you answer your research question graphically using R and JMP.

Note: This two-hour course is divided into two parts for Vimeo.

Part I: (vimeo.com/63925026)
Part II: (vimeo.com/64313091)

Course files are available on the course webpage (lisa.stat.vt.edu/?q=node/5261).

4. LISA (Laboratory for Interdisciplinary Statistical Analysis) provided a series of evening short courses to help graduate students use statistics in their research. The focus of these two-hour courses was on teaching practical statistical techniques for analyzing or collecting data.

March 5, 2013
How to make plots to tell the story of your data
Instructor: Andy Hoegh

Visualizing your data is an essential first step for any statistical analysis and often times the graph itself provides the best statistical interpretation of the data. This course will present principles of good graphics and provide examples to help you answer your research question graphically using R and JMP.

Note: This two-hour course is divided into two parts for Vimeo. The second half of the course will be posted next week.

Part I: (vimeo.com/63925026)
Part II: (vimeo.com/64313091)

Course files are available on the course webpage (lisa.stat.vt.edu/?q=node/5261).

5. Note: The instructor uses the chalkboard to write and further explain some concepts in his slides. Unfortunately, we do not have footage of this.

LISA (Laboratory for Interdisciplinary Statistical Analysis) provided a series of evening short courses to help graduate students use statistics in their research. The focus of these two-hour courses was on teaching practical statistical techniques for analyzing or collecting data.

February 26, 2013
Regression Introduction to R, Part III
Instructor: Peng Sun

R is a free computing and graphical software/environment for statistical analysis. Part II of this short course consists of
- Generalized Linear Model
- Categorical Data Analysis
- Writing Functions

Note: experience using R or attending Part I and II of this series is suggested but not required for Part III.

Course files are available on the course webpage (lisa.stat.vt.edu/?q=node/5260).

# LISA Statistical Short Courses

LISA

Each semester, LISA (Virginia Tech's Laboratory for Interdisciplinary Statistical Analysis) provides a series of evening short courses to help graduate students use statistics in their research. The focus of these two-hour courses is on teaching practical statistical techniques for analyzing or collecting data. LISA screen and audio records these presentations and posts them here on Vimeo for individuals who were unable to

+ More

Each semester, LISA (Virginia Tech's Laboratory for Interdisciplinary Statistical Analysis) provides a series of evening short courses to help graduate students use statistics in their research. The focus of these two-hour courses is on teaching practical statistical techniques for analyzing or collecting data. LISA screen and audio records these presentations and posts them here on Vimeo for individuals who were unable to attend.

Visit lisa.stat.vt.edu to learn more about LISA and our short course series. Course files for each presentation can be found on our website as well.

Feedback on out presentations or video recordings is always welcome and appreciated.

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