Events

Introduction to Stata

Disciplinary expertise and interdisciplinary connections Inquiry, discovery, and creation

May 23rd, 8:00am–12:00pm

3218 Sewell Social Sciences

REGISTRATION IS REQUIRED: http://ssc.wisc.edu/sscc_jsp/training/details.jsp?class_id=2715 . Stata is a popular statistical analysis software, as it is both very powerful and relatively easy to learn. This class is primarily intended for students who need to use Stata in their classes, but either aren't doing research yet or don't anticipate doing much quantitative research. Most researchers should take full "Stata for Researchers" instead. For more info, please visit the registration page.

Introduction to R

Disciplinary expertise and interdisciplinary connections Inquiry, discovery, and creation

May 23rd, 12:30pm–3:30pm

3218 Sewell Social Sciences

REGISTRATION IS REQUIRED FOR THIS COURSE: http://ssc.wisc.edu/sscc_jsp/training/details.jsp?class_id=2721 If you are looking to learn what R is about or need to complete coursework using R, this class is for you. This course introduces attendees to inputting data into R, working with data sets, graphing using ggplot, and a few statistics operations. Researchers who will be using R are encouraged to consider our full R For Researchers class.

Data Wrangling in Stata

Disciplinary expertise and interdisciplinary connections Inquiry, discovery, and creation

May 24th, 8:00am–12:00pm

3218 Sewell Social Sciences

REGISTRATION IS REQUIRED FOR THIS EVENT. TO REGISTER, PLEASE VISIT: https://sscc.wisc.edu/sscc_jsp/training/details.jsp?class_id=2716 "Data Wrangling" is the process of preparing data for analysis, which includes importing, cleaning, recoding, restructuring, combining, and anything else data needs before it can be analyzed. Data wrangling is a critical skill for research. In this class you'll learn how to wrangle data using Stata.

Data Wrangling in R

Disciplinary expertise and interdisciplinary connections Inquiry, discovery, and creation

May 24th, 12:30pm–4:30pm

3218 Sewell Social Sciences

REGISTRATION IS REQUIRED FOR THIS EVENT. TO REGISTER PLEASE GO TO: https://sscc.wisc.edu/sscc_jsp/training/details.jsp?class_id=2722 "Data Wrangling" is the process of preparing data for analysis, which includes importing, cleaning, recoding, restructuring, combining, and anything else data needs before it can be analyzed. Data wrangling is a critical skill for research. This course teaches wrangling skills using the tools of the tidyverse.

Data Wrangling in Stata

Disciplinary expertise and interdisciplinary connections Inquiry, discovery, and creation

May 25th, 8:00am–12:00pm

3218 Sewell Social Sciences

REGISTRATION IS REQUIRED FOR THIS EVENT. TO REGISTER, PLEASE VISIT: https://sscc.wisc.edu/sscc_jsp/training/details.jsp?class_id=2716 "Data Wrangling" is the process of preparing data for analysis, which includes importing, cleaning, recoding, restructuring, combining, and anything else data needs before it can be analyzed. Data wrangling is a critical skill for research. In this class you'll learn how to wrangle data using Stata.

Data Wrangling in R

Disciplinary expertise and interdisciplinary connections Inquiry, discovery, and creation

May 25th, 12:30pm–4:30pm

3218 Sewell Social Sciences

REGISTRATION IS REQUIRED FOR THIS EVENT. TO REGISTER PLEASE GO TO: https://sscc.wisc.edu/sscc_jsp/training/details.jsp?class_id=2722 "Data Wrangling" is the process of preparing data for analysis, which includes importing, cleaning, recoding, restructuring, combining, and anything else data needs before it can be analyzed. Data wrangling is a critical skill for research. This course teaches wrangling skills using the tools of the tidyverse.

Writing Center Workshop

Peer Review: Health Professions Personal Statements (virtual)

Career development Communication Personal and Interpersonal Effectiveness

May 25th, 5:00pm–6:30pm

Online

Designed for those applying to medical school and school for other health professions, this workshop will share insights for writing personal statements—ones that create a compelling portrait of yourself and give a sense of who you are as an individual, a student, and a future health professional. There will be time to review some examples and answer your questions about this important piece of writing.

Data Wrangling in Stata

Disciplinary expertise and interdisciplinary connections Inquiry, discovery, and creation

May 26th, 8:00am–12:00pm

3218 Sewell Social Sciences

REGISTRATION IS REQUIRED FOR THIS EVENT. TO REGISTER, PLEASE VISIT: https://sscc.wisc.edu/sscc_jsp/training/details.jsp?class_id=2716 "Data Wrangling" is the process of preparing data for analysis, which includes importing, cleaning, recoding, restructuring, combining, and anything else data needs before it can be analyzed. Data wrangling is a critical skill for research. In this class you'll learn how to wrangle data using Stata.

Data Wrangling in R

Disciplinary expertise and interdisciplinary connections Inquiry, discovery, and creation

May 26th, 12:30pm–4:30pm

3218 Sewell Social Sciences

REGISTRATION IS REQUIRED FOR THIS EVENT. TO REGISTER PLEASE GO TO: https://sscc.wisc.edu/sscc_jsp/training/details.jsp?class_id=2722 "Data Wrangling" is the process of preparing data for analysis, which includes importing, cleaning, recoding, restructuring, combining, and anything else data needs before it can be analyzed. Data wrangling is a critical skill for research. This course teaches wrangling skills using the tools of the tidyverse.

Data Wrangling in R

Disciplinary expertise and interdisciplinary connections Inquiry, discovery, and creation

May 27th, 12:30pm–4:30pm

3218 Sewell Social Sciences

REGISTRATION IS REQUIRED FOR THIS EVENT. TO REGISTER PLEASE GO TO: https://sscc.wisc.edu/sscc_jsp/training/details.jsp?class_id=2722 "Data Wrangling" is the process of preparing data for analysis, which includes importing, cleaning, recoding, restructuring, combining, and anything else data needs before it can be analyzed. Data wrangling is a critical skill for research. This course teaches wrangling skills using the tools of the tidyverse.