Introduction to Statistics with R

COURSE CATEGORY:

  • Professional Development course

INSTRUCTOR(S):

The world of practical business analytics has moved to the R environment. The R environment has been created by the world’s most highly regarded statisticians, graphics experts and data analysts. It is open source, free and updated daily. There are many sources of continuous learning of R available for free. 

This course provides a basic introduction to practical statistical concepts and techniques as they apply to the analysis and presentation of data in marketing research.  This is a hands-on course, more of a workshop, where participants will learn how to use the R statistical environment and the Deducer GUI to access research data, clean that data, reshape it, and apply basic statistical methods to typical problems that arise in marketing. This course is developed for those who have very little, if any, statistical background and for those who want to move from a commercial statistical package to R.


MAJOR TOPICS COVERED IN THIS COURSE INCLUDE

  1. The research process – Research questions, research design & hypotheses 
  2. Data – where does it come from & what should you I do with it?
  3. Statistical tools – R, RStudio, Deducer 
  4. Data sets
  5. Basic data exploration – tables & graphs
  6. Descriptive statistics  
  7. Measures of central tendency and variation, visualization of survey and research data, building analytical intelligence using Deducer
  8. Cross-tabs and the Chi square test, 
  9. Confidence intervals
  10. Differences between two groups: Independent & paired t-tests, z-test
  11. Correlation, simple linear regression
  12. Multiple linear regression
  13. Logistic regression

Upon completion of this course, students will be able to complete the following key tasks:

  • Use R (RStudio and Deducer) to access and configure marketing research data;
  • Review and clean data sets before analyzing the data they contain;
  • Decide on appropriate statistical techniques for analyzing data;
  • Perform the most typically used statistical methods using R;
  • Determine whether statistical estimates are significant or not;
  • Define suitable models for data analysis (e.g. linear regression);
  • Interpret statistical findings in effective ways for management and clients.

Required Materials


SUGGESTED AUDIENCE

Members seeking CMRP designation Everyone who has designed a survey Client-Side Researcher Research Supplier
  Little or no exposure Less than 2 years experience 2-8 years experience 8+ years experience

Location(s) Course Date(s)   Registration
Toronto April 16, 2018   Through the MRIA Portal

 

  • Course Length: 1 Day
  • Check-in: 8:30 am
  • Classes: 9 am - 5 pm
  • Lunch will be provided
  • For terms and conditions, click here

 

The venue address will be sent to you as part of your course registration confirmation.

Member Regular* Non-Member Regular*   Student Member*
$599 $749   $399

*Plus applicable taxes

MRIA courses and their administration are subsidized by members' fees. Therefore, members enjoy a reduced cost for courses.