Data Trends and Predictions 2021: The Year of Data Fluency

Key Takeaways:
  • What are the key takeaways in data science and machine learning in 2020?
  • How data fluency and democratization are the heart of the data science revolution.
  • 8 data trends to look out for in 2021 across tooling, skills, and infrastructure.
Thursday, January 21st, 11:00am ET

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The past year has been tumultuous, with many lessons still being revealed today. The Covid-19 crisis has accelerated digital transformation, forcing incumbent organizations to digitize their processes, modernize their business models, enable data access, and upskill their workforce for a data-driven age (Microsoft). The Covid-19 crisis has also proven the need for everyone to be data-fluent, informed citizens (Dataversity), as data can be used to inform and misinform us on the state of the pandemic. 
This year, we stand on the precipice of a great acceleration. Organizations worldwide are looking to increase their digital resilience and become more data-driven in the process. The data science revolution has always made the impossible possible. However, the real data science revolution makes the possible widespread, enabling data fluent organizations and societies, where everyone is equipped with the necessary skills they need to be informed, citizens, and employees.
In this webinar, DataCamp’s Vice President of Product Research Ramnath Vaidyanathan, Curriculum Architect Richie Cotton, and Data Science Evangelist Adel Nehme will go over eight major trends in data infrastructure, skills, and tooling for the next year and beyond.

Presenter Bio

Adel Nehme Headshot
Adel NehmeData Evangelist at DataCamp

Adel is a Data Science educator, speaker, and Evangelist at DataCamp where he has released various courses and live training on data analysis, machine learning, and data engineering. He is passionate about spreading data skills and data literacy throughout organizations and the intersection of technology and society. He has an MSc in Data Science and Business Analytics. In his free time, you can find him hanging out with his cat Louis.

Richie Cotton Headshot
Richie CottonCurriculum Architect at DataCamp at

Richie is the Curriculum Architect at DataCamp. He has been using R since 2004, in the fields of proteomics, debt collection, and chemical health and safety. He has released almost 30 R packages on CRAN and Bioconductor – most famously the assertive suite of packages – as well as creating and contributing to many others. He also has written two books on R programming, Learning R and Testing R Code.

Ramnath Vaidyanathan Headshot
Ramnath VaidyanathanVP of Product Research at DataCamp at

Ramnath Vaidyanathan is the VP of Product Research at DataCamp, where he drives product innovation and data-driven development. He has 10+ years experience doing statistical modeling, machine learning, optimization, retail analytics, and interactive visualizations.