Data Science Episodes

Data Science Articles

Data Science Tutorials

Data Science Cheat Sheets

Listen to Andy Cotgreave, Senior Data Evangelist, Tableau break down data visualization, storytelling, and the importance of data literacy.&nbsp;

What Data Visualization Means for Data Literacy 

https://www.datacamp.com/blog/what-data-visualization-means-for-data-literacy

Listen to Kate Strachnyi, founder of DATAcated, on how to build a personal brand in data and accelerate data careers.&nbsp;

How the Data Community Can Accelerate Your Data Career

https://www.datacamp.com/podcast/how-the-data-community-can-accelerate-your-data-career

Ella Hilal, VP of Data Science and Engineering, Shopify shares insights on the biggest mistakes data scientists make, &nbsp;being an effective data leader, how to create cohesion between teams, and much more.&nbsp;

How an Always-Learning Culture Drives Innovation at Shopify 

https://www.datacamp.com/blog/how-an-always-learning-culture-drives-innovation-at-shopify

George Trujillo shares how he believes real-time data can completely transform the way companies work with data, the real-world use cases of real-time analytics, why reducing data complexity is key to improving the customer experience, the common problems that slow data-driven decision-making, and more.

How Real Time Data Accelerates Business Outcomes

https://www.datacamp.com/blog/how-real-time-data-accelerates-business-outcomes

Daniel Situnayake talks about his work with EdgeML, the biggest challenges in embedded machine learning, potential use cases of machine learning models in edge devices, and the best tips for aspiring machine learning engineers and data science practitioners to get started with embedded machine learning. &nbsp;

Embedded Machine Learning on Edge Devices

https://www.datacamp.com/blog/embedded-machine-learning-on-edge-devices

Hakim Elakhrass talks about post-deployment data science, the real-world use cases for tools like NannyML, the potentially catastrophic effects of unmonitored models in production, the most important skills for modern data scientists to cultivate, and more.

Post-Deployment Data Science

https://www.datacamp.com/blog/post-deployment-data-science

Serg Masis talks about the different challenges affecting model interpretability in machine learning, how bias can produce harmful outcomes in machine learning systems, the different types of technical and non-technical solutions to tackling bias, the future of machine learning interpretability, and much more.&nbsp;

Interpretable Machine Learning 

https://www.datacamp.com/blog/interpretable-machine-learning

Anjali Samani, Director of Data Science &amp; Data Intelligence at Salesforce, joins the show to discuss what it takes to become a mature data organization and how to build an impactful, diverse data team. As a data leader with over 15 years of experience, Anjali is an expert at assessing and deriving maximum value out of data, implementing long-term and short-term strategies that directly enable positive business outcomes, and how you can do the same.
You will learn the hallmarks of a mature data organization, how to measure ROI on data initiatives, how Salesforce implements its data science function, and how you can utilize strong relationships to develop trust with internal stakeholders and your data team.

How Salesforce Created a High-Impact Data Science Organization

https://www.datacamp.com/blog/how-salesforce-created-a-high-impact-data-science-organization

Sandra Kublik and Shubham Saboo, authors of GPT-3: Building Innovative NLP Products Using Large Language Models shares insights about what makes GPT-3 unique, the transformative use-cases it has ushered in, the technology powering GPT-3, its risks and limitations, whether scaling models is the path to &ldquo;Artificial General Intelligence&rdquo;, and more.

GPT-3 and our AI-Powered Future

https://www.datacamp.com/blog/gpt-3-and-our-ai-powered-future

Elettra Damaggio shares how data leaders can balance short-term wins with long-term goals, how to earn trust with stakeholders, major challenges when launching a data science function, and advice she has for new and aspiring data practitioners.&nbsp;

How to Build a Data Science Team from Scratch

https://www.datacamp.com/blog/how-to-build-a-data-science-team-from-scratch

Suman Giri shares how Merck is using data to improve organizational decision-making, medical research outcomes, and how data science is transforming the pharmaceutical industry at scale.

How Data Science Enables Better Decisions at Merck

https://www.datacamp.com/blog/how-data-science-enables-better-decisions-at-merck

Brian Richardi talks about his experience as a data science leader transitioning from Finance. He provides insights into utilizing collaboration, effective communication to drive value and the future of data science in Finance.

How Data Science Drives Value for Finance Teams

https://www.datacamp.com/blog/how-data-science-drives-value-for-finance-teams