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At Methods,

we're not industry specific,
we're data specific.
We move easily through your data
to provide you with accurate insights.
our approach to crunching numbers.
we are rigorous in
Methods,
at
or politics,
to business
to baseball
From research
Let Methods
harness the power of your data to help you grow.

The Methods Difference

01

We are human-driven.

We are human-driven.

We take data analysis to the next level. With people first. Our approach is human-centered with an analytic capability to give you real, actionable insights to drive your decision making forward.

02

We are scientists.

We are scientists.

We are data scientists with expertise in data programming and in developing statistical and machine-learning approaches to address the data analytic needs of a wide variety of customers.

03

We are data specific.

We are data specific.

We are data-focused and not industry-focused. This means our team can program in any type of statistical software and has vast knowledge of the most popular platform databases used by businesses. Put simply, show us your data, and we will show you a solution.

We are human-driven.

We take data analysis to the next level. With people first. Our approach is human-centered with an analytic capability to give you real, actionable insights to drive your decision making forward. 

We are scientists.

We are data scientists with expertise in data programming and in developing statistical and machine-learning approaches to address the data analytic needs of a wide variety of customers. 

We are data specific.

We are data-focused and not industry-focused. This means our team can program in any type of statistical software and has vast knowledge of  the most popular platform databases used by businesses. Put simply, show us your data, and we will show you a solution. 

Corporations

Legal Firms

Government

Small Businesses

Health Care

Engineers

Investors

Non Profits

Researchers

Graduate Students

Sports

Application Development

Popular Tutorials

Explore our tutorials and let Methods help you to become a data analytic expert.

What is the Bootstrap?

Preparing Data Files for Mplus

Estimating Logistic Regression Models in SPSS

Notation for Random Effects Model

How Can I Read Data Into R?

Learn how to make statistical inferences when standard parametric assumptions are questionable.

Check out this quick and easy explanation for preparing your data file for Mplus use!

Interested in predicting whether somebody is a fan of Justin Bieber according to the amount of beer they have consumed as well as their gender? Who isn’t? Check out this tutorial to learn how to get the answer to this pressing question.

Check out this step-by-step guide to conducting a random effects model.

Getting your data into R doesn’t have to be confusing. We walk you through step-by-step how to read your data into R in a simple and easy to understand way.

What Clients Say