Today, programs like SAS, SPSS, and Stata are being used less frequently in market research. Instead, market researchers are finding themselves using R for statistical analysis and data visualization. In this course, we will introduce you to the reasons why R is becoming preferred in market research. You will have hands on experience using R so that you can build a strong foundation to continue learning R beyond this course.
You should take this course if:
You are a market research professional looking for mastery of your craft and/or career advancement
You have had little or no exposure to R
You are interested in getting into programming
Follow a Structured Curriculum
Basic Programming using R
First, you will learn the basics of programming in R. This includes how an object-oriented language works.
Next, you will learn the different types of data structures in R, such as: a list, an array, a vector, a matrix, a data frame, among others.
Data structures using R
Descriptive statistics using R
One of the first things you should do to your data is run descriptive statistics. That is why we have a whole section dedicated to running and visualizing means, standard deviations, and frequencies.
If you look at group differences, you will need to know how to run inferential statistics. In this section, we teach you how to run tests like a t-Test, ANOVA, and cross-tabs.
Inferential statistics using R
Ready to Continue your Education?
In today’s competitive workplace, you need to keep learning if you want to stay ahead. Let us make life-long learning easy for you. Contact us today to talk to one of our learning consultants.
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