Introduction to A/B Testing

Every product team wants to know what makes their product thrive. They want to know how to optimize metrics and leave users the happiest and most engaged. Without a way to definitively understand user behavior, they must turn to anything they can. Enter the A/B test. Ultimately, every A/B test starts from a hypothesis. The… Read More

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The Data Analysis Process

It’s easy for someone looking to move into an data analytics role to think about technical skills.  It’s natural for analysts and data scientists to strive to learn SQL, R, Python, etc. as those are often prerequisites for a data role. But that’s only a small part of the story, and in my opinion, the… Read More

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The Analytics Pyramid of Needs

In this day and age, you can’t go a day without hearing terms such as “data science,” “big data,” or “analytics.” These terms have been thrown around to apply to so many situations that the original meaning of these words is lost. So, what does it take for any organization to be successfully data-driven? Although… Read More

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The Law of Analytics

It seems everyone is talking about “analytics” and “data science.” These buzzwords have been thrown around to imply that these are new concepts that only started in high-tech. Before we get lost in the hype, let’s bring the conversation back to basics and understand what analytics truly is. Analytics is simply using numbers and data… Read More

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Essentials of R: An NFL Example

Learning any new skill is hard. There are too many possibilities, and the goal seems massive and intimidating. Enter the Pareto Principle. The Pareto Principle, also known as the 80/20 rule, suggests that 80 percent of results come from 20 percent of efforts. It can be applied to everything from business to language, even learning… Read More

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R Packages: A Healthcare Application

Building off my last post, I want to use the same healthcare data to demonstrate the use of R packages. Packages in R are stored in libraries and often are pre-installed, but reaching the next level of skill requires being able to know when to use new packages and what they contain. With that let’s… Read More

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MySQL and Tableau: A Healthcare Application

To once again demonstrate the power of MySQL (download), MySQL Workbench (download), and Tableau Desktop (free trial version can be downloaded here), I wanted to walk through another data analysis example. This time, I found a Medicare dataset publicly available on Data.gov and imported it using the Import Wizard as seen below. Let’s take a look… Read More

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Data Analysis in R

I have written about R in the past, and it is one of the hottest tools for data analysis today. To further demonstrate the power of R, I found click-through rate data on Kaggle. The dataset is over 6 gigabytes and has over 12 million rows, but I limited the dataset to 2 million rows… Read More

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SQL: An Introduction

As the amount of the data grows exponentially and terms such as big data become mainstream, the need to handle all this data has increased. Database skills have become some of the most sought-after in the job market today. SQL, which stands for Structured Query Language and is used for relational databases (RDBMS), is one… Read More

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An Introduction to Data Visualization: Tableau

After data science, which I discussed in this post, data visualization is one of the most common buzzwords thrown around in the tech and business communities. To demonstrate how one can actually visualize data, I want to use one of the hottest tools in the market right now: Tableau. You can download Tableau Public for… Read More

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