This piece was written by The Data Incubator’s Megan Cummings.
Virtually every week across the globe there is a high-quality data conference happening. Each year, you should take a moment to analyze your budget and availability to find a conference that would best fit your needs. Whether you’re a computer science student, entry level data scientist, Chief Technology Officer, or CEO, attending a conference is an essential key to career development, growing your professional network, and staying on top of the latest trends. So if at any point you’ve ever been hesitant to register for a conference, here are the top three takeaways:
This is the most obvious benefit of attending a conference and the sole reason why some people choose to attend. There’s something new to learn in the data science universe every day, and many of these conferences are at the foreground of these cutting-edge changes. Conferences are where you can access the most up to date industry information, oftentimes from the sources themselves. With hundreds, sometimes thousands of attendees, you can also gain exposure to a boundless variety of new ideas and trends that can benefit your latest project or business venture. When planning out your conference schedule for the year, be picky and selective about which ones to dedicate your time and money to by first asking yourself what you hope to learn from each one. Take time to research the speakers, break out sessions, and workshops and make a schedule far in advance to ensure you’re getting the most out of the conference as possible. On top of that, make sure what you’re taking away is beneficial for your organization, professional development, or career growth.