TDWI Accelerate Seattle

Gain Instant Access to Sample Accelerate Sessions

ACCELERATE, the leading conference for analytics and data science training, brings together the brightest minds in data to share their expertise and help you realize your analytics goals, faster.

R for Data Science
Eduardo Arino de la Rubia

The {R or Python} data science ecosystem has been under very rapid advancement over the past few years. From new libraries for handling large data volumes to advanced machine learning models, {R or Python} has taken the lead in being the go-to language for Data Scientists. In this talk we will explore a modern approach to data science in {R or Python} and definitively show that {R or Python} is the best language for data science!

Text Mining: Uncovering the Value in Unstructured Data
Natasha Balac

One of the biggest challenges of Big Data is the disproportionate growth of unstructured data. According to a recent reports, 80 to 85 percent of business--relevant information originates in unstructured data. With the proliferation of smartphones and tablets, our society has become expert at generating it—from e-mails, text, tweets, blogs, news, call centers, reviews to images and video. As unstructured data continues to increase exponentially in both relevance and quantity, so does the challenge to discover valuable insight from the unstructured data. Text mining enables organizations to extract useful information and knowledge hidden in large quantities of unstructured data, thereby generating critical knowledge to drive better business decisions.

Developing a Visual Strategy within a Sea of Data
Skye Moret

As professionals who convey important data-driven messages, it is imperative that we harness visual and conceptual thinking skills to promote stronger avenues for meaningful engagement. Visual literacy is increasing daily, yet few who consistently work with data understand best practices when it comes to data-driven visualization. By integrating data exploration and visual strategy, we can more clearly communicate data across and within disciplines.

In this course, we will develop a framework with which to organize processed data, classify our audience needs, and explore which visualization and narrative techniques are best suited to illuminate a data-driven story. We will emphasize the importance of concept sketching, iteration, and selection of visualization tools. The course will conclude with a brief discussion of successful visual narrative techniques, reinforcing strategies examined earlier.

Enter your email above and gain access immediately.