All posts by dge32

Advanced Data Analysis Workshop

The UC Statistical Consulting Unit is offering a two-day data analysis workshop over 4-5 September from 10am to 3pm (location: TBA).
The workshop extends concepts covered in our Introductory Data Analysis Workshop to include mixed-effects models (useful for repeated measures), and generalised linear models (GLMs, useful for analysing counts and binary responses).
This two-day workshop consists of seminars and computer labs using the statistical software R. The workshop is open to staff and students.
All participants are expected to have good working knowledge of linear models, and a basic understanding of using the statistical software R.
For an introduction to data analysis with R, we highly recommend attending our Introductory Data Analysis Workshop in the next semester before participating in the advanced workshop.

Registration:

Introductory Data Analysis Workshop Using R

The Statistical Consulting Unit is having another run of its popular `Data Analysis Using R´ workshops.

The workshops are free and directed primarily at postgraduate students and members of staff, who need to improve their data analytic skills.

The next Introductory Data Analysis Workshop will take place on Tuesday 9 and Wednesday 10 July between 10am – 3pm, and will cover fundamental statistical concepts, such as sampling distributions, hypothesis testing, p-values and confidence intervals, as well as introduce linear regression and analysis of variance (ANOVA). No prior knowledge of R is required.

To register or for further information, please write to Daniel Gerhard at daniel.gerhard@canterbury.ac.nz.

INTRODUCTORY DATA ANALYSIS WORKSHOP USING R

The Statistical Consulting Unit is having another run of its popular `Data Analysis Using R´ workshops.

The workshops are free and directed primarily at postgraduate students and members of staff, who need to improve their data analytic skills.

The next Introductory Data Analysis Workshop will take place on Wednesday 13 and Thursday 14 February between 10am – 4pm, and will cover fundamental statistical concepts, such as sampling distributions, hypothesis testing, p-values and confidence intervals, as well as introduce linear regression and analysis of variance (ANOVA). No prior knowledge of R is required.

To register or for further information, please write to Daniel Gerhard at daniel.gerhard@canterbury.ac.nz.

Advanced Data Analysis (DA-2) Workshop

The UC Statistical Consulting Unit is offering a second two-day data analysis workshop over 5-6 September from 10am to 4pm (location: TBA).
 
The workshop extends concepts covered in our Introductory Data Analysis Workshop (DA-1) to include mixed effect models (useful for repeated measures), and generalized linear models (GLMs, useful for analysing counts and binary responses).
 
This two-day workshop consists of seminars and computer labs using the statistical software R. The workshop is open to staff and students.
 
To register, please email Daniel Gerhard at daniel.gerhard@canterbury.ac.nz.
 
All participants are expected to have good working knowledge of linear models, and a basic understanding of using the statistical software R.
 
For an introduction to data analysis with R, we highly recommend attending our DA-1 workshop in the next semester before participating in the advanced workshop.

Introductory Data Analysis Workshop Using R

The Statistical Consulting Unit is having another run of its popular `Data Analysis Using R´ workshops.

The workshops are free and primarily directed at postgraduate students and members of staff, who need to improve their data analytic skills.

The next Introductory Data Analysis Workshop will take place on Wed-Thu 18-19 July 2018 (10am-4pm), and will cover fundamental statistical concepts, such as sampling distributions, hypothesis testing, p-values and confidence intervals, as well as introduce linear regression and analysis of variance (ANOVA). No prior knowledge of R is required.

To register or for further information, please write to Daniel Gerhard at daniel.gerhard@canterbury.ac.nz.