Introduction It doesn’t matter if you’re a fan of basketball, soccer, tennis or any other sport. You probably want to be better at it. Maybe you want to make the perfect pass or hit your shot or play defense like a pro. And that’s great! But first let’s talk about why personal analytics for sports…
Introduction The need for more processing power is a well-known and documented phenomenon. But in the context of data science, this is not just about adding more cores to your computer or getting a faster processor. It’s also about sorting and heuristics—ways to decipher the data quickly so that we can get down to business….
Introduction I’m excited to announce that I’ve started a new Youtube channel all about data! My name is Zac, and I’m an assistant professor at the University of Oregon’s School of Architecture and Allied Arts. (If you’re not familiar with us, we’re one of the few places in the world that offers students both architecture…
Introduction The world is full of stories. We hear them on the news, read them in books, and even tell them ourselves. But what if these stories have a deeper impact on our lives than we realize? In this article, we’ll explore how narratives can lead us astray when interpreting data from large datasets. We’ll…
Introduction Data preparation is a key part of the analytics process. It involves cleaning, transforming and enriching your data. You can use R language to perform data cleansing and prepare it for analysis. In this blog, I will walk through how to perform data preparation with R using CRAN packages such as dplyr, tidyr, stringr…
Introduction Data processing is one of the most important concepts in data science and analytics. It’s also one of the most overlooked topics, because it doesn’t get as much attention as other aspects like machine learning or databases. However, if you’re only working with historical data, you’re missing out on a huge opportunity to leverage…
Introduction Data is the new oil, and everyone wants it. The amount of data created by companies, governments and individuals continues to grow exponentially. Data storage, processing and analytics are critical for a company to stay competitive in the 21st century. Big Data And Analytics Hadoop is an open source framework for distributed storage and…
Introduction Data analytics is the process of analyzing data to make predictions and gain insights. It’s a term that encompasses many different types of activities, including statistical analysis, data mining, machine learning and artificial intelligence (AI). Data analysts use tools like databases and visualization software to make sense of large amounts of data. Companies use…
Introduction What is data analytics? It’s a question we’ve all asked at some point. You’ve probably seen the words “data analytics” thrown around in company meetings, but you’re still not quite sure what it means and if it’s relevant to your business. Perhaps even more importantly, why should I care about data analytics? In this…
Introduction Real time data processing is a term that’s been used in various contexts over the last few years. But what does it really mean? And why should you care about real time data processing? This blog post will help you understand the basics of real time data processing, including its benefits, drawbacks and examples….
