Who’s the most clutch quarterback in NFL history — Tom Brady, Patrick Mahomes, Aaron Rodgers, or someone completely unexpected? We’ll use Python + Data Science to figure it out.  👉 Try Sphinx for free - https://www.sphinx.ai ⏱️ TIMESTAMPS00:00 - Who’s the most clutch QB? 00:40 - Python + Sphinx AI: analyzing 1M NFL plays 02:00 - Defining “clutch” in football (data-driven approach) 03:15 - “TV Clutch” Top 10 07:50 - Using AI to processes play-by-play data 11:10 - Advanced Clutch Factor 17:00 - Advanced Top 10 24:30 - Build your own analysis 🔗 RESOURCES & LINKS💌 Join 20k+ aspiring data analysts — https://www.datacareerjumpstart.com/newsletter 🎯 Free Training: How to Land Your First Data Job — https://www.datacareerjumpstart.com/training 👩‍💻 Accelerator Program: Data Analytics Accelerator — https://www.datacareerjumpstart.com/daa 💼 Interview Prep Tool: Interview Simulator — https://www.datacareerjumpstart.com/interviewsimulator 📱 CONNECT WITH AVERY🎥 YouTube: @averysmith 🤝 LinkedIn: https://www.linkedin.com/in/averyjsmith 📸 Instagram: https://instagram.com/datacareerjumpstart 🎵 TikTok: https://www.tiktok.com/@verydata 💻 Website: https://www.datacareerjumpstart.com 📱 CONNECT WITH SPHINX🐦Twitter/X - https://x.com/getsphinx 🔗Linkedin - https://www.linkedin.com/company/sphinx-ml/ Mentioned in this episode: Join the last cohort of 2025! The LAST cohort of The Data Analytics Accelerator for 2025 kicks off on Monday, December 8th and enrollment is officially open!

To celebrate the end of the year, we’re running a special End-of-Year Sale, where you’ll get: ✅ A discount on your enrollment 🎁 6 bonus gifts, including job listings, interview prep, AI tools + more

If your goal is to land a data job in 2026, this is your chance to get ahead of the competition and start strong.

👉 Join the December Cohort & Claim Your Bonuses: https://DataCareerJumpstart.com/daa https://www.datacareerjumpstart.com/daa

Détail des formations proposées par Le Wagon dans les domaines Software & AI, Data Analytics, Data Science & AI et Growth Marketing.

Découvrez comment une plateforme Data unifiée, intelligente, et souveraine, Full Web, Full Kubernetes, Full IA, et Full Data Mesh devient un levier stratégique pour piloter les missions spatiales de demain.

Comment une plateforme Data souveraine, full Web - Kubernetes - IA - Data Mesh devient un levier de transformation des opérations spatiales

Témoignage client - De la souveraineté à la performance : retour sur le déploiement réussi de notre solution de data analytics française.

A l’occasion de cette démo, en partant d’une page blanche et de différentes sources de données, nous irons jusqu’à déployer une application Data Analytics augmentée par des LMM en utilisant ces deux produits lancés par OVHcloud en 2025.

OVHcloud DataPlatform : une solution unifiée et permettant vos équipes de gérer en self-service de bout en bout vos projets Data & Analytics : de la collecte de tous types de données, leur exploration, leur stockage, leurs transformations, jusqu’à la construction de tableaux de bords partagés via des applications dédiées. Une service pay-as-you-go pour accélérer de déploiement et simplifier la gestion des projets Data.

AI Endpoints : une solution serverless qui permet aux développeurs d’intégrer facilement des fonctionnalités d'IA avancées à leurs applications. Grâce à plus de 40 modèles open-source de pointe incluant LLM et IA générative – pour des usages comme les agents conversationnels, modèles vocaux, assistants de code, etc. - AI Endpoints démocratise l’utilisation de l'IA, indépendamment de la taille ou du secteur de l'organisation.

Et cela en s’appuyant sur les meilleurs standards Data open-source (Apache Iceberg, Spark, SuperSet, Trino, Jupyter Notebooks…) dans des environnements respectueux de votre souveraineté technologique.

There is an impossible choice most organizations face. Companies building modern AI face a brutal, binary-feeling decision: either ship a privacy-first model that “kinda low key sucks,” or ship a high-performing model that likely exposes sensitive personal data. Luckily, there's a third option, and that's what I will share with you in this episode! Check out Tonic Textual here: 👉 https://www.tonic.ai/products/textual 💌 Join 10k+ aspiring data analysts & get my tips in your inbox weekly 👉 https://www.datacareerjumpstart.com/newsletter 🆘 Feeling stuck in your data journey? Come to my next free "How to Land Your First Data Job" training 👉 https://www.datacareerjumpstart.com/training 👩‍💻 Want to land a data job in less than 90 days? 👉 https://www.datacareerjumpstart.com/daa 👔 Ace The Interview with Confidence 👉 https://www.datacareerjumpstart.com/interviewsimulator ⌚ TIMESTAMPS 00:00 - Introduction: The Ethical Dilemma in AI Development 01:21 - The "A Very Smith Health Solutions" LEAKED Zoom debate! 02:45 - Sensitive Data Discovery and Synthesis 03:41 - Redacting and Synthesizing Data with Tonic Textual 04:30 - Applications and Benefits 🔗 CONNECT WITH AVERY 🎥 YouTube Channel: https://www.youtube.com/@averysmith 🤝 LinkedIn: https://www.linkedin.com/in/averyjsmith/ 📸 Instagram: https://instagram.com/datacareerjumpstart 🎵 TikTok: https://www.tiktok.com/@verydata 💻 Website: https://www.datacareerjumpstart.com/ Mentioned in this episode: Join the last cohort of 2025! The LAST cohort of The Data Analytics Accelerator for 2025 kicks off on Monday, December 8th and enrollment is officially open!

To celebrate the end of the year, we’re running a special End-of-Year Sale, where you’ll get: ✅ A discount on your enrollment 🎁 6 bonus gifts, including job listings, interview prep, AI tools + more

If your goal is to land a data job in 2026, this is your chance to get ahead of the competition and start strong.

👉 Join the December Cohort & Claim Your Bonuses: https://DataCareerJumpstart.com/daa https://www.datacareerjumpstart.com/daa

The book is essential for anyone exploring the forefront of healthcare innovation, as it offers a thorough exploration of transformative data-driven methodologies that can significantly enhance patient outcomes and clinical efficiency in today’s evolving medical landscape. In today’s rapidly advancing healthcare landscape, the integration of medical analytics has become essential for improving patient outcomes, clinical efficiency, and decision-making. Medical Analytics for Clinical and Healthcare Applications provides a comprehensive examination of how data-driven methodologies are revolutionizing the medical field. This book offers a deep dive into innovative techniques, real-world applications, and emerging trends in medical analytics, showcasing how these advancements are transforming disease detection, diagnosis, treatment planning, and healthcare management. Spanning sixteen chapters across five subsections, this edited volume covers a wide array of topics—from foundational principles of medical data analysis to cutting-edge applications in predictive healthcare and medical data security. Readers will encounter state-of-the-art methodologies, including machine learning models, predictive analytics, and deep learning techniques applied to various healthcare challenges such as mental health disorders, cancer detection, and hospital mortality predictions. Medical Analytics for Clinical and Healthcare Applications equips readers with the knowledge to harness the power of medical analytics and its potential to shape the future of healthcare. Through its interdisciplinary approach and expert insights, this volume is poised to serve as a valuable resource for advancing healthcare technologies and improving the overall quality of care. Readers will find the volume: Explores the latest medical analytics techniques applied across clinical settings, from diagnosis to treatment optimization; Features real-world case studies and tools for implementing data-driven solutions in healthcare; Bridges the gap between healthcare professionals, data scientists, and engineers for collaborative innovation in medical technologies; Provides foresight into emerging trends and technologies shaping the future of healthcare analytics. Audience Healthcare professionals, clinical researchers, medical data scientists, biomedical engineers, IT professionals, academics, and policymakers focused on the intersection of medicine and data analytics.

Think you need a fancy degree to start a career in data? Think again. In this episode of Data Career School, Amlan Mohanty breaks down exactly how you can launch a successful data career and land your first job in data analytics, data science, or business intelligence without a traditional degree. Discover how to build in-demand skills, create a portfolio that gets noticed, and land your first data job using practical, actionable strategies. Whether you’re self-taught, switching careers, or just curious about the data field, this episode gives you the perfect roadmap to break into a data career.

In an era where data is central to business success, the demand for skilled analysts continues to outpace supply. This session explores how data analytics apprenticeships offer a dynamic, practical solution to the widening skills gap, equipping individuals with industry-relevant experience while delivering immediate value to employers.

Using the NowSkills apprenticeship model as a case study, this session will showcase how a well-rounded curriculum—combining technical training, real-world projects, and structured mentorship—can transform aspiring analysts into confident, capable professionals. Attendees will gain insights into how these programmes adapt to diverse learning needs, integrate business challenges, and embed workplace-ready skills from day one.

Through success stories and data-driven outcomes, the presentation will highlight the benefits for both individuals and organisations: from faster onboarding and increased employee engagement to improved innovation and retention. Additionally, apprenticeships contribute to greater diversity and inclusion by widening access to digital careers beyond traditional academic routes.

Attendees will leave with practical strategies to implement or enhance apprenticeship programmes, identify future skills, and collaborate effectively

Data is one of the most valuable assets in any organisation, but accessing and analysing it has been limited to technical experts. Business users often rely on predefined dashboards and data teams to extract insights, creating bottlenecks and slowing decision-making.

This is changing with the rise of Large Language Models (LLMs) and Retrieval-Augmented Generation (RAG). These technologies are redefining how organisations interact with data, allowing users to ask complex questions in natural language and receive accurate, real-time insights without needing deep technical expertise.

In this session, I’ll explore how LLMs and RAG are driving true data democratisation by making analytics accessible to everyone, enabling real-time insights with AI-powered search and retrieval and overcoming traditional barriers like SQL, BI tool complexity, and rigid reporting structures.

Data storytelling matters more than ever. If you have the ability to make your analysis understood—and acted on—it can make you more valuable than analysts with twice your experience. In this episode, Mike Cisneros walks us through his practical, tactical playbook to turn good analysis into powerful data stories that get results. ✨ Try Julius today at https://landadatajob.com/Julius-YT

Make your data storytelling sing. Check out Mike's co-authored book here: Storytelling with Data: Before and After - Practical Makeovers for Powerful Data Stories Amazon link: https://amzn.to/41ViFmv Website: storytellingwithdata.com/books

💌 Join 10k+ aspiring data analysts & get my tips in your inbox weekly 👉 https://www.datacareerjumpstart.com/newsletter 🆘 Feeling stuck in your data journey? Come to my next free "How to Land Your First Data Job" training 👉 https://www.datacareerjumpstart.com/training 👩‍💻 Want to land a data job in less than 90 days? 👉 https://www.datacareerjumpstart.com/daa 👔 Ace The Interview with Confidence 👉 https://www.datacareerjumpstart.com/interviewsimulator

⌚ TIMESTAMPS 00:00 Introduction 01:16 How To Become A Better Data Analyst and Storyteller 04:41 Storytelling with Data: Before and After 15:33 A Case Study: Analyzing Call Center Data

🔗 CONNECT WITH MIKE 🎥 YouTube Channel: https://www.youtube.com/c/storytellingwithdata 🤝 LinkedIn: https://www.linkedin.com/in/mikevizneros/ https://www.linkedin.com/company/storytelling-with-data-llc/ 📸 Instagram: https://www.instagram.com/mikevizneros/ 💻 Website: https://www.storytellingwithdata.com/

🔗 CONNECT WITH AVERY 🎥 YouTube Channel: https://www.youtube.com/@averysmith 🤝 LinkedIn: https://www.linkedin.com/in/averyjsmith/ 📸 Instagram: https://instagram.com/datacareerjumpstart 🎵 TikTok: https://www.tiktok.com/@verydata 💻 Website: https://www.datacareerjumpstart.com/ Mentioned in this episode: Join the last cohort of 2025! The LAST cohort of The Data Analytics Accelerator for 2025 kicks off on Monday, December 8th and enrollment is officially open!

To celebrate the end of the year, we’re running a special End-of-Year Sale, where you’ll get: ✅ A discount on your enrollment 🎁 6 bonus gifts, including job listings, interview prep, AI tools + more

If your goal is to land a data job in 2026, this is your chance to get ahead of the competition and start strong.

👉 Join the December Cohort & Claim Your Bonuses: https://DataCareerJumpstart.com/daa https://www.datacareerjumpstart.com/daa

Comprehensive guide offering actionable strategies for enhancing human-centered AI, efficiency, and productivity in industrial and systems engineering through the power of AI. Advances in Artificial Intelligence Applications in Industrial and Systems Engineering is the first book in the Advances in Industrial and Systems Engineering series, offering insights into AI techniques, challenges, and applications across various industrial and systems engineering (ISE) domains. Not only does the book chart current AI trends and tools for effective integration, but it also raises pivotal ethical concerns and explores the latest methodologies, tools, and real-world examples relevant to today’s dynamic ISE landscape. Readers will gain a practical toolkit for effective integration and utilization of AI in system design and operation. The book also presents the current state of AI across big data analytics, machine learning, artificial intelligence tools, cloud-based AI applications, neural-based technologies, modeling and simulation in the metaverse, intelligent systems engineering, and more, and discusses future trends. Written by renowned international contributors for an international audience, Advances in Artificial Intelligence Applications in Industrial and Systems Engineering includes information on: Reinforcement learning, computer vision and perception, and safety considerations for autonomous systems (AS) (NLP) topics including language understanding and generation, sentiment analysis and text classification, and machine translation AI in healthcare, covering medical imaging and diagnostics, drug discovery and personalized medicine, and patient monitoring and predictive analysis Cybersecurity, covering threat detection and intrusion prevention, fraud detection and risk management, and network security Social good applications including poverty alleviation and education, environmental sustainability, and disaster response and humanitarian aid. Advances in Artificial Intelligence Applications in Industrial and Systems Engineering is a timely, essential reference for engineering, computer science, and business professionals worldwide.

A conversation with Dashel Ruiz Perez about how data shapes semiconductor manufacturing and engineering, lessons from teaching programming and ML at scale, first-hand experience with ML Zoomcamp, moving from dashboards to ML-powered applications, and advice for professionals transitioning into data and AI later in their careers.

The relationship between AI assistants and data professionals is evolving rapidly, creating both opportunities and challenges. These tools can supercharge workflows by generating SQL, assisting with exploratory analysis, and connecting directly to databases—but they're far from perfect. How do you maintain the right balance between leveraging AI capabilities and preserving your fundamental skills? As data teams face mounting pressure to deliver AI-ready data and demonstrate business value, what strategies can ensure your work remains trustworthy? With issues ranging from biased algorithms to poor data quality potentially leading to serious risks, how can organizations implement responsible AI practices while still capitalizing on the positive applications of this technology? Christina Stathopoulos is an international data specialist who regularly serves as an executive advisor, consultant, educator, and public speaker. With expertise in analytics, data strategy, and data visualization, she has built a distinguished career in technology, including roles at Fortune 500 companies. Most recently, she spent over five years at Google and Waze, leading data strategy and driving cross-team projects. Her professional journey has spanned both the United States and Spain, where she has combined her passion for data, technology, and education to make data more accessible and impactful for all. Christina also plays a unique role as a “data translator,” helping to bridge the gap between business and technical teams to unlock the full value of data assets. She is the founder of Dare to Data, a consultancy created to formalize and structure her work with some of the world’s leading companies, supporting and empowering them in their data and AI journeys. Current and past clients include IBM, PepsiCo, PUMA, Shell, Whirlpool, Nitto, and Amazon Web Services.

In the episode, Richie and Christina explore the role of AI agents in data analysis, the evolving workflow with AI assistance, the importance of maintaining foundational skills, the integration of AI in data strategy, the significance of trustworthy AI, and much more.

Links Mentioned in the Show: Dare to DataJulius AIConnect with ChristinaCourse - Introduction to SQL with AIRelated Episode: The Data to AI Journey with Gerrit Kazmaier, VP & GM of Data Analytics at Google CloudRewatch RADAR AI 

New to DataCamp? Learn on the go using the DataCamp mobile app Empower your business with world-class data and AI skills with DataCamp for business

I asked my followers what data product I should build next, and they voted: a Pokémon card analytics tool. So, I rolled up my sleeves and built a market analytics platform using Replit and its vibe-coding agent to get from idea to deployable MVP in a few hours! Today's video guides you through the process step by step, so you can build something similar—even if you have 0 technical background. ✨ Try vibe-coding yourself with Replit!!! https://replit.com/refer/AveryData p.s. this is an affiliate link, so I will earn credits if you end up using Replit - but I truly love this tool!

Check out my Pokémon card analytics app here and let me know what you think! 👉 PokemonCardAnalytics.com 💌 Join 10k+ aspiring data analysts & get my tips in your inbox weekly 👉 https://www.datacareerjumpstart.com/newsletter 🆘 Feeling stuck in your data journey? Come to my next free "How to Land Your First Data Job" training 👉 https://www.datacareerjumpstart.com/training 👩‍💻 Want to land a data job in less than 90 days? 👉 https://www.datacareerjumpstart.com/daa 👔 Ace The Interview with Confidence 👉 https://www.datacareerjumpstart.com/interviewsimulator ⌚ TIMESTAMPS 00:00 Introduction 00:36 Building the Pokémon Card Analytics Platform 01:15 Exploring Replit's Capabilities and Creating the App's Core Features 06:47 Integrating Real Data 12:01 Finalizing and Deploying the App 15:18 PokemonCardAnalytics.com and Future Plans

🔗 CONNECT WITH AVERY 🎥 YouTube Channel: https://www.youtube.com/@averysmith 🤝 LinkedIn: https://www.linkedin.com/in/averyjsmith/ 📸 Instagram: https://instagram.com/datacareerjumpstart 🎵 TikTok: https://www.tiktok.com/@verydata 💻 Website: https://www.datacareerjumpstart.com/ Mentioned in this episode: Join the last cohort of 2025! The LAST cohort of The Data Analytics Accelerator for 2025 kicks off on Monday, December 8th and enrollment is officially open!

To celebrate the end of the year, we’re running a special End-of-Year Sale, where you’ll get: ✅ A discount on your enrollment 🎁 6 bonus gifts, including job listings, interview prep, AI tools + more

If your goal is to land a data job in 2026, this is your chance to get ahead of the competition and start strong.

👉 Join the December Cohort & Claim Your Bonuses: https://DataCareerJumpstart.com/daa https://www.datacareerjumpstart.com/daa

Détail des formations Data Analytics proposées par Le Wagon, objectifs, contenus et débouchés.

Session en ligne présentant les différences entre Data Analytics et Data Science & AI, afin d’aider à choisir la formation adaptée. Le rôle clé de l’IA dans les formations et comment elle est intégrée, ainsi que des informations pratiques sur le programme, les formats, le financement et les admissions.

Before you start cramming tools to land a data job, ask yourself this: What tools are data analysts actually using every day? In this episode, I went straight to the pros—analysts at Google, Amazon, Apple, Tesla, Humana, Veterans United, 7-Eleven, and more—to hear which tools truly power their work. ✨ Try Julius today at https://landadatajob.com/Julius-YT 💌 Join 10k+ aspiring data analysts & get my tips in your inbox weekly 👉 https://www.datacareerjumpstart.com/newsletter 🆘 Feeling stuck in your data journey? Come to my next free "How to Land Your First Data Job" training 👉 https://www.datacareerjumpstart.com/training 👩‍💻 Want to land a data job in less than 90 days? 👉 https://www.datacareerjumpstart.com/daa 👔 Ace The Interview with Confidence 👉 https://www.datacareerjumpstart.com/interviewsimulator ⌚ TIMESTAMPS 00:00 - Introduction 00:22 - Sundas Khalid (Google and Amazon) 03:10 - Jen Hawkins (Apple) 06:17 - Ryan Ponder (Veterans United) 07:32 - Alex Sanchez (7-Eleven) 09:37 - Jason Bryll (Healthcare Analytics Expert) 12:47 - Erin Shina (Humana) 14:54 - Lily BL (Tesla) 🔗 Watch my interviews and connect with our data experts! Sundas 🤝 LinkedIn: https://www.linkedin.com/in/sundaskhalid/ 🎥 YouTube: https://youtu.be/e53U55HbBog?si=_hQkB2EuuD1pFsg7 Jen 🤝 LinkedIn: https://www.linkedin.com/in/jeandriska/ 🎥 YouTube: https://youtu.be/f-BWp_IJZ-I?si=llWBc5hIW80SmeEd

Ryan 🤝 LinkedIn: https://www.linkedin.com/in/rtponder/ 🎥 YouTube: https://youtu.be/bH0wfE342R0?si=iN1ftUN31LbstdRw

Alex 🤝 LinkedIn: https://www.linkedin.com/in/ale-san/ 🎥 YouTube: https://youtu.be/VfrTaw27rDc?si=IlwL7FJLdUvlbbms

Jason 🤝 LinkedIn: https://www.linkedin.com/in/jason-bryll/ 🎥 YouTube: https://youtu.be/Qh4RBY5GwUY?si=HCvF80qw7gVbL0dc

Erin 🤝 LinkedIn: https://www.linkedin.com/in/erinshina/ 🎥 YouTube: https://youtu.be/5gSUqk1AiWM?si=MPF3oRY45B2DTQ2P

Lily 🤝 LinkedIn: https://www.linkedin.com/in/lilybl/ 🎥 YouTube: https://youtu.be/AB2McisjPTM?si=yw_2gCWtBcQDFGWf

🔗 CONNECT WITH AVERY 🎥 YouTube Channel: https://www.youtube.com/@averysmith 🤝 LinkedIn: https://www.linkedin.com/in/averyjsmith/ 📸 Instagram: https://instagram.com/datacareerjumpstart 🎵 TikTok: https://www.tiktok.com/@verydata 💻 Website: https://www.datacareerjumpstart.com/ Mentioned in this episode: Join the last cohort of 2025! The LAST cohort of The Data Analytics Accelerator for 2025 kicks off on Monday, December 8th and enrollment is officially open!

To celebrate the end of the year, we’re running a special End-of-Year Sale, where you’ll get: ✅ A discount on your enrollment 🎁 6 bonus gifts, including job listings, interview prep, AI tools + more

If your goal is to land a data job in 2026, this is your chance to get ahead of the competition and start strong.

👉 Join the December Cohort & Claim Your Bonuses: https://DataCareerJumpstart.com/daa https://www.datacareerjumpstart.com/daa

An overview of Le Wagon’s AI Software, Data Science & AI, Data Analytics, Data Engineering, and Growth Marketing bootcamps.