Market Research Training

[Free Mini Lesson Inside] Meet the Data Analytics Superhero of Your Dreams: Excel

ExcelYou want a data analytics tool that will allow you to extract the most meaning from your recent survey data, but you aren’t necessarily a data analysis superhero, nor do you own a bullet-proof cape.

No worries.  The superhero of data analytics is here.

The mild-mannered, understated tool is…Microsoft Excel!

Excel has a plethora of statistical analysis functions built in. There is no need to pay premium prices for t-tests, chi-square, regression or many of the other statistical functions we quantitative researchers love.

Having a hard time believing that mild-mannered Excel is really a superhero waiting to save the day? Check out this sample video from the course, where you get to watch and hear instructor Dan Reynolds demonstrate ANOVA using Excel:

Excel is amazing. And you probably already have it. Why not learn to harness it so you can leap tall data analysis hurdles in a single bound? The skills are waiting for you in our Excel for Market Research Data Analysis course.

It’s important to note that this class will not teach statistical concepts. Rather, it will focus on how you use Excel to calculate the statistical values. Prior to this class, you should have a working knowledge of T-Tests, Chi-squared, and P-values (consider these the course pre-requisites). Excel for Market Research Data Analysis starts January 18th, and meets for 4 consecutive Wednesdays from 11 to 1: 30 Eastern. For the full agenda and pricing details, please visit the Training Store.

Now get ready to swoon for the Data Analytics Superhero of your dreams: Excel.

Don’t have the pre-requisites yet? Then we suggest starting with Intro Quantitative Data Analysis.


Kathryn Korostoff

Kathryn Korostoff is founder and lead instructor at Research Rockstar. Over the past 25 years, she has personally directed more than 600 primary market research projects and published over 100 bylined articles in magazines. She is also a professor at Boston University, where she teaches grad students how to analyze and report quantitative data.

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