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How to Become a Data Engineer
Data science is splitting up, and that’s going to work in your favor. As companies and organizations begin to understand the complexity of working with big data, “data science” is losing its catch-all definition. One aspect of data science that continues to grow in popularity is data engineering. If... Read more
Are You Ready to Lead a Data Science Project?
What is the problem that is compelling you to solve using data science? The power in data and the mechanisms to harness this power is now available to us. Identifying the right problem or use case is the first step. There are multiple use cases across the industry being... Read more
How to Lead a Great Code Sprint
This blog post is the first in a series of two blog posts on participating in code sprints, and is the culmination of two other blog posts I’ve written on leading a sprint. In this post, I’ll be writing it from the perspective of what a sprint participant might... Read more
Why Data Scientists Should Definitely Be Writing for Medium
One of the biggest skills necessary in data science is storytelling. Once you move from academics or research to the business world, you’ll have to deliver business value, something qualified by good, truthful storytelling. Businesses are looking for data scientists that can help them understand their data, not just... Read more
How Can Your Business Use Machine Learning for Augmented Reality?
Augmented Reality is a highly disruptive tech that could change the way your organization interacts with customers. As the demand for personalization increases and consumers take advantage of newer, more readily available tech, you could find yourself searching for programs that take advantage of this new paradigm. [Related Article:... Read more
Funding your AI Startup – 6 Pitch Writing Guidelines to Consider
In terms of disruptive technologies, artificial intelligence (AI) has provided numerous industries with transformative innovations. Whether it’s finance, healthcare or retail, AI technologies have found their place in day-to-day operations across the global market. According to Forbes, 59% of organizations worldwide have deployed some form of AI already and... Read more
Can Skills Assessments Help Avoid False Negatives in Tech Recruitment?
In Part 2 of our series on skills assessments, we’re looking at the issue of false negatives in tech and data talent recruitment and what roles skills assessments play. We cover why false negatives really do matter in tech recruiting, what drives this type of hiring error and what can be... Read more
4 Ways Data Scientists Are Marketing Themselves Incorrectly
You’re looking for your next big job, but every time you apply to a position, it’s crickets. You’ve got the background and the training. Your GitHub profile is filled out, and you’ve done your hackathons. The field has a talent demand, but if you’re making these mistakes, you may... Read more
Transitioning from Academia to Business? 3 Things to Keep in Mind
Congratulations! You’ve gotten your first job in Data Science in the business sector. Whether you’re fresh out of school or coming from a distinguished career in academia, you’re transitioning from academia to business — you feel ready to make an impact in your company.  [Related Article: 3 Unique Ways... Read more
How Not to Get Started in Data Science
Data science is a hot field, but some job seekers are having a hard time getting a foot in the door. Job posters are citing mismatches in skills needed on the job and the skills potential job seekers have. If you play your cards right, you could turn this... Read more