DataFramed Careers Series Special Announcement!

Hi, I'm Maggie, VP of Curriculum at datacamp, and I know firsthand how overwhelming it can be to keep up with the rapid changes in data and AI. But staying ahead doesn't have to be hard. That's why our curriculum team has curated the best learning content to help you and your team stay ahead, covering everything from data and AI literacy for busy executives to cutting edge generative AI for developers, and everything in between. Whether you're upskilling yourself or your team, we make learning practical, engaging and flexible. It just works. Power your data and AI transformation journey on datacamp.com.

Hello everyone, this is Adele, Data Science educator and Evangelist at datacamp. Over the past year, hosting the Dataframe podcast, I've had the incredible privilege of having biweekly conversations with data leaders at the forefront of the data revolution. This has led to fascinating conversations on the future of the modern data stack, the future of data scales, and how to build organizational data fluency. However, as the Dataframe podcast grows, we want to be able to provide the data science community across the spectrum, from practitioners to leaders, with distilled insights that will help them maneuver their careers effectively. And we want to do that more often. This is why we're excited to announce the launch of a four day Data Frame Careers series. Throughout next week, we will interview four different thought leaders and experts about what it takes to break into Data Science in 2022 Best practices to stand out from the crowd, building a brand in data science, and more. Moreover, this episode series will mark Dataframe's transition from biweekly to Weekly. Starting Monday 30 May, DataFrame will become a weekly podcast for next week's Data Frame Careers series. We'll be covering the ins and outs of building a career in data and the different aspects of standing out from the crowd during the job hunt. We'll be hearing from Sadie St. Lawrence, CEO and Founder of Women in Data, on what it takes to launch a data career in 2022. Nick Singh, co author of Ace the Data Science Interview and second time guest of Data Framed, will join us to discuss what makes a great data science portfolio project. Kuyen Tran, developer Advocate at Prefect, will outline how writing can accelerate a data career, and Jay Fang, CEO of Interview Query, will join us to provide tips and frameworks on acing the Data Science interview. For future Data Framed episodes, we'll definitely still cover the different aspects of building a data driven organization, cover the latest advancements in data science, building data careers and more. So expect more varied guests topics and more special series like these ones in the future. I definitely look forward to hearing your feedback, so make sure to reach out with ideas on how we can make Data Framed even better for you. We're very excited for the first episode of the series on Monday, so make sure to enjoy the weekend and we'll see you then.