DataFramed

DataCamp
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Oct 3, 2022 • 54min

#107 The Deep Learning Revolution in Space Science

Justin Fletcher, an AI expert at the US Space Force, discusses the groundbreaking applications of deep learning in space science. He reveals how the Space Force monitors satellites and tracks dangerous space debris using advanced AI techniques. The conversation delves into vital skills for aspiring defense practitioners and the importance of collaboration among data scientists and domain experts. Justin also emphasizes transparency in military research and the need for effective communication of complex concepts in both technical and non-technical circles.
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Sep 26, 2022 • 49min

#106 How CBRE is Increasing Data Literacy for Over 3,000 Employees

Emily Hayward, Data and Digital Change Manager at CBRE, shares her expertise in transforming data literacy across the organization. She discusses the importance of executive support and effective change management in upskilling over 3,000 employees. Emily highlights a multi-persona strategy to tailor training programs and how inclusive initiatives with platforms like DataCamp enhance skills for diverse teams. The conversation also delves into fostering a culture of continuous learning and engagement, crucial for quality client outcomes in an increasingly data-driven world.
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4 snips
Sep 19, 2022 • 43min

#105 What Data Visualization Means for Data Literacy

Andy Cotgreave, Senior Data Evangelist at Salesforce and co-author of The Big Book of Dashboards, shares insights on the critical role of data visualization in enhancing data literacy. He emphasizes how well-designed visualizations act as gateways to deeper data skills. Topics include best practices for storytelling through data, the importance of user experience in dashboard design, and emerging trends in AI and accessibility. Andy also advocates for engaging with datasets to promote a culture of data-driven decision-making.
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11 snips
Sep 12, 2022 • 35min

#104 How the Data Community Can Accelerate Your Data Career

Kate Strachnyi, Founder and Community Manager at DATAcated, dives into the world of data careers. She discusses the unique pathways professionals can take, from mastering technical skills to enhancing soft skills. Kate emphasizes the power of personal branding and effective visualization in standing out. She also touches on overcoming imposter syndrome and the importance of data literacy in organizations, advocating for tailored programs that resonate, especially with younger audiences. Finally, she reveals exciting upcoming projects aimed at democratizing data knowledge.
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27 snips
Sep 5, 2022 • 53min

#103 How Data Literacy Skills Help You Succeed

Jordan Morrow, VP and Head of Data Analytics at Brainstorm, Inc., and author of 'Be Data Literate,' discusses the critical role of data literacy in today’s workplace. He shares his journey advocating for data skills, emphasizing their necessity across all job roles. The conversation explores innovative strategies to enhance data literacy in organizations, the importance of communication and storytelling, and how data empowers informed decision-making. Morrow inspires listeners to embrace their passion for data and pursue learning opportunities.
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Sep 2, 2022 • 2min

Announcing Data Literacy Month

September shines a spotlight on Data Literacy Month, aiming to raise awareness about the importance of data skills for everyone. The event features an exciting lineup of expert-led webinars and thought-provoking discussions. Learn why data literacy is crucial for organizations and individuals alike. Join the movement to enhance understanding and mastery of data!
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16 snips
Aug 29, 2022 • 42min

#102 How an Always-Learning Culture Drives Innovation at Shopify

Ella Hilal, VP of Data Science and Engineering at Shopify, shares her wealth of experience in data science and responsible innovation. She emphasizes the importance of an always-learning mindset, arguing that mastery comes from understanding fundamentals rather than chasing trends. Ella discusses common pitfalls data scientists face, stresses the need for cohesion between teams, and offers practical strategies like mini sprints to foster innovation. Her insights showcase how effective leadership can drive a culture of continuous learning and growth.
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9 snips
Aug 22, 2022 • 45min

#101 How Real-Time Data Accelerates Business Outcomes

George Trujillo, Principal Data Strategist at DataStax and a veteran in data-driven decision-making, shares insights on the transformation potential of real-time data. He discusses how reducing data complexity can significantly enhance customer experience and streamline decision-making. George highlights real-world use cases of real-time analytics that drive business revenue. He also explores the shift toward open-source solutions, the importance of a cohesive data supply chain, and how organizations can cultivate a robust data culture for improved operational effectiveness.
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10 snips
Aug 15, 2022 • 52min

#100 Embedded Machine Learning on Edge Devices

Daniel Situnayake, a founding TinyML Engineer and author with a rich background at Google, dives into the exciting world of embedded machine learning. He discusses the evolution of machine learning models in edge devices, like smartwatches, and the importance of efficiency in this domain. Daniel highlights the challenges of real-time data processing and shares insights for aspiring ML engineers on starting their journey in embedded systems. He also unveils practical strategies for deploying models that empower various industries while retaining accuracy.
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9 snips
Aug 8, 2022 • 35min

#99 Post-Deployment Data Science

Hakim Elakhrass, Co-founder and CEO of NannyML, shares insights from his journey in data science, moving from biology to machine learning. He highlights the crucial importance of monitoring models post-deployment, discussing the challenges of data drift and silent failures. Hakim explores how NannyML can help prevent costly mistakes in unmonitored AI. He also covers evolving roles within data teams and the skills data scientists need to ethically navigate the complexities of modern AI applications.

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