DATA SCIENCE

Companies that can take advantage of their data with data scientific methods will leave their competitors in the dust.
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OUR ADVANTAGE

We are more experienced, better trained, and more dedicated to helping you succeed than anyone else in the field.
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SUCCEEDING TOGETHER

We want to be partners with you - finding out exactly what you need and how we can help, and going on the data analysis journey together.
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OUR SERVICES
We offer a full range of data science services

SCRAPING

We provide data scraping solutions for structured and unstructured website data, using Python, R, and other tools.

DATA VISUALIZATION

We use state-of-the-art tools like D3.js, ggplot2, shiny to create the most intuitive and revealing visualizations possible.

TRAINING

Individual and group training sessions on a variety of topics from our army of PhD's.

R PROGRAMMING

We provide expert R programming to meet any needs, including package development, debugging, shiny apps, and more.

STATISTICAL INFERENCE

We implement a host of statistical and machine learning methods for inference,

BUSINESS RECOMENDATIONS

We apply the lessons learned from our statistical models to your business goals.
WHAT WE DO
More about our expertise

BIG DATA VISUALIZATION

With the increased amount and complexity attributable to Big Data, communicating the information mined from Big Data has increased in importance. Data visualization is now conceptualized as telling a narrative, and this concept underlies the work of authors who have addressed the topic.

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DATA ANALYSIS

Data analysis is an important part of data science, and one of the key concepts the authors define is the ability to think data-analytically. This involves “identifying appropriate data and consider[ing] appropriate methods” through which to analyze and use it.

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DATA SCIENCE

In their book Data Science for Business: What You Need to Know About Data Mining and Data-Analytic Thinking, Foster Provost and Tom Fawcett, define data science as “a set of fundamental principles that guide the extraction of knowledge from data.”

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STATISTICAL DATA ANALYSIS

Statistical data analysis is made possible because variability exists in any collection of items, measurements, or phenomena. A company’s sales, both quantities and amounts, differ from month to month, as do its expenditures.

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LATEST NEWS
Latest news from our blog

Principal Components - Example

In the following example, a principal components analysis was performed on the Chatterjee-Price attitude dataset, which contains the aggregated answers to questionnaires of 35 employees from 30 randomly selected departments of a large financial firm.  The variables... read more

Principal Components – Theory

In principal components analysis (PCA), original variables within a sample are transformed as linear combinations into a new set of variables that is uncorrelated. PCA can act as an exploratory technique, allowing underlying factors to be identified for factor... read more

Logistic Regression

Like ordinary least squares regression, logistic regression employs one or more independent variables to predict a dependent variable. Unlike OLS regression, the dependent variable is not continuous but is instead a categorical variable that takes on the values of 0... read more

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