In this engaging discussion, Jonathan Cornelissen and Martijn Theuwissen, co-founders of DataCamp, explore the evolving landscape of data roles for 2023. They highlight the rise of specialized positions and the increasing necessity for data literacy across industries. The conversation touches on how AI tools are transforming education and the job market, allowing personalized learning experiences. They also discuss shifts in hiring practices that focus on skills rather than traditional qualifications, emphasizing the importance of data accuracy in analytics.
39:42
forum Ask episode
web_stories AI Snips
view_agenda Chapters
menu_book Books
auto_awesome Transcript
info_circle Episode notes
insights INSIGHT
Data Science Specialization
The data science role is specializing, similar to software engineering.
New roles like analytics engineers and MLOps engineers are emerging.
insights INSIGHT
Data Roles in L&D
L&D departments are increasingly hiring dedicated data roles.
This trend reflects the growing importance of data skills in digital transformation.
insights INSIGHT
Data Literacy for All
Data literacy is becoming mainstream, essential for everyone, not just data scientists.
Different roles require different data skills levels.
Get the Snipd Podcast app to discover more snips from this episode
The novel is set in a near-future world where nanotechnology has revolutionized society. It follows Nell, a young girl from a poor background, who receives an interactive educational book called the 'Young Lady's Illustrated Primer'. This book, designed by John Percival Hackworth, is intended to provide a personalized education and becomes a central element in Nell's life. The story explores themes of education, social class, ethnicity, and the impact of technology on human society. The novel is known for its complex narrative, intersecting storylines, and its depiction of a world deeply divided along political, ethnic, and cultural lines[2][3][4].
In 2022, we saw significant developments in the field of data. From the emergence of generative AI to the growth of low-code data tools and AI assistants—these advancements signal an upcoming paradigm shift, where data-powered tools and machine learning systems will radically transform workflows across various professions.
2022 also saw digital transformation remain a major theme for organizations across industries as they sought to embrace new ways of working, reaching customers, and providing value. As 2023’s looming economic uncertainty puts pressure on organizations to maximize ROI from their investments, digital and data transformation will continue to be one of the key levers by which organizations can cut costs and scale value for their stakeholders.
So we’ve invited DataCamp’s co-founders, CEO Jonathan Cornelissen and COO Martijn Theuwissen to break down the top data trends they are seeing in the data space today, as well as their predictions for the future of the data industry.
Jonathan Cornelissen is the CEO and co-founder of DataCamp. As the CEO of DataCamp, he helped grow DataCamp to upskill over 10M+ learners and 2800+ teams and enterprise clients. He is interested in everything related to data science, education and entrepreneurship. He holds a PhD in financial econometrics, and was the original author of an R package for quantitative finance.
Martijn Theuwissen is the COO and co-founder of DataCamp. As the COO of DataCamp, he helps DataCamp’s enterprise clients on their data and digital transformation strategies, enabling them to make the most of DataCamp for Business’s offering, and helping them transform how their workforce uses data.