A Basic Course in Statistical Data Analysis Using R (May 4 – 6, 2016; Vancouver, B.C.)

A Basic Course in Statistical Data Analysis Using R
We are pleased to announce that we are offering a 3-day statistical training course
on May 4 - 6, 2016 in Vancouver, B.C., titled “ A Basic Course in Statistical Data
Analysis Using R”.   The course is intended for novice R users who would like to
learn how to perform statistical data analyses in R or for intermediate R users who
would like to consolidate their understanding of how R operates. Both types of users
will benefit from the review of statistical concepts covered during the course.

The course will accommodate 18 participants and take place from 8:30am until 5:00pm
on May 4, 5 and 6, 2016 (Wednesday - Friday). Day 1 of the course will cover data
import/export, data summarization and data visualization with ggplot2. Day 2 of the
course will cover hypothesis testing, basic statistical analyses and automated
reporting. Day 3 of the course will cover data cleaning, data manipulation and basic
elements of R programming.

By the end of the course, participants will have a working knowledge of R.  In
particular, participants will be able to:

   1.  Organize their R workflow;
   2.  Read data into R and export data from R using the rio package;
   3.  Clean up and massage data using the tidyr, dplyr and magrittr packages;
   4.  Work with dates using the lubridate package;
   5.  Create elegant and insightful data visualizations with the ggplot2 package;
   6.  Produce descriptive statistics (e.g., means, medians, standard deviations,
interquartile ranges, correlations);
   7.  Perform basic tests of hypotheses (e.g., t-test, chi-square test), interpret
their output and verify their assumptions;
   8.  Perform basic statistical analyses such as simple/multiple linear regression,
one-way analysis of variance (ANOVA) and analysis of covariance (ANCOVA),
interpret their output
        and verify their assumptions;
   9.  Write R functions and scripts for performing repetitive tasks;
  10.  Produce simple automated reports which include tables, graphs and text using
the intuitive R markdown language.

The attendance fee for the course is $885.00 + $44.25 GST = $929.25 per participant
and includes a bound copy of the Course Notes, a CD-ROM containing all course
examples and exercises and 30 days of free course-related technical e-mail support
following the course. The attendance fee also includes morning and afternoon coffee,
tea and snacks. Groups of 3 or more participants from the same organization will
receive a 10% discount when they register.

The extended registration deadline for this course is April 25, 2016. Registration
forms can be downloaded from http://www.ghement.ca/Rform_May2016.html. Completed
registration forms can be returned to us by e-mail
(info@ghement.ca<mailto:info@ghement.ca>) or fax (604-270-3922).

Further details about the course are available at

We look forward to hearing from you if you are interested in attending the course or
if you require further information.

Best regards,

Isabella R. Ghement, Ph.D.
Ghement Statistical Consulting Company Ltd.
301-7031 Blundell Road
Richmond, B.C.
Canada, V6Y 1J5
Tel: 604-767-1250
Fax: 604-270-3922
E-mail: isabella@ghement.ca<mailto:isabella@ghement.ca>
Web : www.ghement.ca<http://www.ghement.ca/>

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