Jason Bryll is a healthcare analytics expert and hiring manager with nearly two decades of experience. In this episode, Jason explains what healthcare analytics entails, why it's essential, and the role of AI in the field. More importantly, you'll learn how to stand out to hiring managers-- even in today's market! Wanna dive further into healthcare analytics? Here's your next podcast: 👉 https://datacareerpodcast.com/episode/160-she-became-a-data-analyst-after-a-20-year-career-in-physical-therapy-melody-santos 💌 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 to Healthcare Analytics 00:27 Jason's Career Journey 02:23 What Is Healthcare Analytics? 06:37 Parable Associates 10:56 Understanding Revenue Cycle and Accounts Receivable 15:00 Complexities in Healthcare Data Management 19:47 The Importance of Domain Knowledge 27:12 The Importance of Building a Strong Portfolio 31:43 Recommended Data Tools and Platforms 34:10 Advice To Become A Healthcare Analyst 🔗 CONNECT WITH JASON BRYLL 🎥 YouTube Channel: https://www.youtube.com/@UCGh1LOrX0mWuoWZk5J10zkw 🤝 LinkedIn: https://www.linkedin.com/in/jason-bryll/ 📸 Instagram: https://www.instagram.com/parable_associates/ 💻 Website: https://parableassociates.com/ Check out Jason's Healthcare Analyst courses here: 👉 https://www.parableacademy.com/link/d7GlNy?url=https%3A%2F%2Fwww.parableacademy.com%2Fcourse%3Fcourseid%3Drcm-analyst 🔗 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

Nathan Shoesmith's talk will focus on the role of robust data for driving positive changes in local communities. Originally from a non-technical background, Nathan will reflect on experiences sitting between technical and wider teams, providing explanatory and understandable coverage of data analyses to help people to understand often confusing topics.

Unlock the world of data science—no coding required. Curious about data science but not sure where to start? This book is a beginner-friendly guide to what data science is and how people use it. It walks you through the essential topics—what data analysis involves, which skills are useful, and how terms like “data analytics” and “machine learning” connect—without getting too technical too fast. Data science isn’t just about crunching numbers, pulling data from a database, or running fancy algorithms. It’s about asking the right questions, understanding the process from start to finish, and knowing what’s possible (and what’s not). This book teaches you all of that, while also introducing important topics like ethics, privacy, and security—because working with data means thinking about people, too. Whether you're a student exploring new skills, a professional navigating data-driven decisions, or someone considering a career change, this book is your friendly gateway into the world of data science, one of today’s most exciting fields. No coding or programming experience? No problem. You'll build a solid foundation and gain the confidence to engage with data science concepts— just as AI and data become increasingly central to everyday life. What You Will Learn Grasp foundational statistics and how it matters in data analysis and data science Understand the data science project life cycle and how to manage a data science project Examine the ethics of working with data and its use in data analysis and data science Understand the foundations of data security and privacy Collect, store, prepare, visualize, and present data Identify the many types of machine learning and know how to gauge performance Prepare for and find a career in data science Who This Book is for A wide range of readers who are curious about data science and eager to build a strong foundation. Perfect for undergraduates in the early semesters of their data science degrees, as it assumes no prior programming or industry experience. Professionals will find particular value in the real-world insights shared through practitioner interviews. Business leaders can use it to better understand what data science can do for them and how their teams are applying it. And for career changers, this book offers a welcoming entry point into the field—helping them explore the landscape before committing to more intensive learning paths like degrees or boot camps.

Turn your current tasks into clear, resume-ready bullets that sound more data-focused 👉 Resume Transformer: https://datafairy.io/GMM2DJKWM9 Here's a realization you need to hear: You're a Data Analyst ALREADY. You're not as far away as you think you are. In this episode, I teach you how to reframe your everyday tasks (and mind) to showcase your existing data skills, along with some real-life examples from my bootcamp students! Also, I provide useful tips to enhance your LinkedIn profile and resume to attract more job opportunities! 💌 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: You're a Data Analyst already! 02:16 #1: Sales Professionals 03:04 #2: Teachers 03:54 #3: Delivery Drivers 04:40 #4: Physical Therapists 05:24 #5: Parents 06:12 #6: Retail Workers 06:41 #7: Construction Workers 07:26 DataFairy.io Check out these episodes! The ONLY Framework to Become a Data Analyst in 2025 (SPN Method) 👉 https://datacareerpodcast.com/episode/141-the-only-framework-to-become-a-data-analyst-in-2025-spn-method Zero to Data Analyst: Tim Beecher’s Journey from Locksmith to Data 👉 https://datacareerpodcast.com/episode/81-zero-to-data-analyst-tim-beechers-journey-from-locksmith-to-data

This Math Teacher Became a Data Analyst in 50 Days w/ Alex Sanchez 👉 https://datacareerpodcast.com/episode/112-this-math-teacher-became-a-data-analyst-in-50-days-w-alex-sanchez

How This Delivery Driver Became a FAANG Data Analyst (Jen Hawkins) 👉 https://datacareerpodcast.com/episode/154-how-this-delivery-driver-became-a-faang-data-analyst-in-100-days-jen-hawkins

This Physical Therapist Became a Data Analyst AFTER a 20-Year Career (Melody Santos) 👉 https://datacareerpodcast.com/episode/160-she-became-a-data-analyst-after-a-20-year-career-in-physical-therapy-melody-santos

From Construction to Data Analytics (Jordan Temple's Story) 👉 https://datacareerpodcast.com/episode/79-from-construction-to-data-analytics-jordan-temples-story

🔗 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

Since 2022, Gold Coast Health have been on a digital transformation journey. Their objective, to “liberate” clinicians and health staff from burdensome digital and administrative processes by combining data analytics, automation and workflow solutions. Hear about their journey from an on premise enterprise data warehouse to their Advanced Data Platform and their recent success using this platform to automate communications between tertiary and primary care.

Get your next job(s) with AI💸 and sustainably work 2-3 jobs 👉 https://go.elevatedtech.us/course-avery Enter the code AVERY20 at checkout to save 20%! What's the secret to having three six-figure jobs at once? My guest, Delaney William, cracked the code on overemployment/ job stacking and he's here to spill the beans! Is overemployment a genius move or totally unethical? Delaney shares his personal journey, the secrets to his efficiency, and how he helps others triple their income without working 80-hour weeks. 💌 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 00:55 - Understanding overemployment/ job stacking 05:40 - Can a Data Analyst do overemployment/ job stacking? 09:12 - Is overemployment/ job stacking even legal? 17:09 - How to start job stacking/ overemployment 21:53 - Optimizing your job application strategy 28:28 - The tools you need for successful overemployment/ job stacking 35:40 - Talk with Delaney William! 🔗 CONNECT WITH DELANEY 🎥 YouTube Channel: https://www.youtube.com/@delaney-william 🤝 LinkedIn: https://www.linkedin.com/in/delaney-william1/, https://www.linkedin.com/in/delaney-william2/ 📸 Instagram: https://www.instagram.com/delaneywilliam_/ Facebook: https://www.facebook.com/delaney.elevatedtech/ 🎵 TikTok: https://www.tiktok.com/@delaneywilliam 💻 Website: https://elevatedtech.us/ 🔗 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

Discuss common hurdles faced by government organizations when implementing data analytics and AI strategies and share solutions to overcome them. Peer Meetups are networking sessions that allow you to connect and share with a small group of your peers without Gartner facilitation. Please make every effort to attend your peer meetup, as other attendees look forward to meeting with you.

Modern data organizations have moved beyond big data analytics to also incorporate advanced AI/ML data workloads. These workflows often involve multimodal datasets containing documents, images, long-form text, embeddings, URLs and more. Unity Catalog is an ideal solution for organizing and governing this data at scale. When paired with the Daft open source data engine, you can build a truly multimodal, AI-ready data lakehouse. In this session, we’ll explore how Daft integrates with Unity Catalog’s core features (such as volumes and functions) to enable efficient, AI-driven data lakehouses. You will learn how to ingest and process multimodal data (images, text and videos), run AI/ML transformations and feature extractions at scale, and maintain full control and visibility over your data with Unity Catalog’s fine-grained governance.

The insurance industry is rapidly evolving as advances in data and artificial intelligence (AI) drive innovation, enabling more personalized customer experiences, streamlined operations, and improved efficiencies. With powerful data analytics and AI-driven solutions, insurers can automate claims processing, enhance risk management, and make real-time decisions. Leveraging insights from large and complex datasets, organizations are delivering more customer-centric products and services than ever before. Key takeaways: Real-world applications of data and AI in claims automation, underwriting, and customer engagementHow predictive analytics and advanced data modeling help anticipate risks and meet customer needs. Personalization of policies, optimized pricing, and more efficient workflows for greater ROI. Discover how data and AI are fueling growth, improving protection, and shaping the future of the insurance industry!

Your data and AI use-cases are multiplying. At the same time, there is increased focus and scrutiny to meet sophisticated security and regulatory requirements. IQVIA utilizes serverless use-cases across data engineering, data analytics, and ML and AI, to empower their customers to make informed decisions, support their R&D processes and improve patient outcomes. By leveraging native controls on the platform, serverless enables them to streamline their use cases while maintaining a strong security posture, top performance and optimized costs. This session will go over IQVIA’s journey to serverless, how they met their security and regulatory requirements, and the latest and upcoming enhancements to the Databricks Platform.

Explore how AI is transforming business intelligence and data analytics across the Databricks platform. This session offers a comprehensive overview of AI-assisted capabilities, from generating dashboards and visualizations to integrating Genie on dashboards for conversational analytics. Whether you’re a data engineer, analyst or BI developer, this session will equip you to leverage AI with BI for better, smarter decisions.

Try Keboola 👉 https://www.keboola.com/mcp?utm_campaign=FY25_Q2_RoW_Marketing_Events_Webinar_Keboola_MCP_Server_Launch_June&utm_source=Youtube&utm_medium=Avery Today, we'll create an entire data pipeline from scratch without writing a single line of code! Using Keboola MCP server and ClaudeAI, we’ll extract data from my FindADataJob.com RSS feed, transform it, load it into Google BigQuery, and visualize it with Streamlit. This is the future of data engineering! Keboola MCP Integration: https://mcp.connection.us-east4.gcp.keboola.com/sse I Analyzed Data Analyst Jobs to Find Out What Skills You ACTUALLY Need https://www.youtube.com/watch?v=lo3VU1srV1E&t=212s 💌 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 00:54 - Definition of Basic Data Engineering Terms 02:26 - Keboola MCP and Its Capabilities 07:48 - Extracting Data from RSS Feed 12:43 - Transforming and Cleaning the Data 19:19 - Aggregating and Analyzing Data 23:19 - Scheduling and Automating the Pipeline 25:04 - Visualizing Data with Streamlit

🔗 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

In the rapidly-evolving field of data analytics, (AI/BI) dashboards and Power BI stand out as two formidable approaches, each offering unique strengths and catering to specific use cases. Power BI has earned its reputation for delivering user-friendly, highly customisable visualisations and reports for data analysis. On the other hand, AI/BI dashboards have gained good traction due to their seamless integration with the Databricks platform, making them an attractive option for data practitioners. This session will provide a comparison of these two tools, highlighting their respective features, strengths and potential limitations. Understanding the nuances between these tools is crucial for organizations aiming to make informed decisions about their data analytics strategy. This session will equip participants with the knowledge needed to select the most appropriate tool or combination of tools to meet their data analysis requirements and drive data-informed decision-making processes.

Join us to learn how the UK's Department for Environment, Food & Rural Affairs (DEFRA) transformed data use with Databricks’ Unity Catalog, enabling nationwide projects through secure, scalable analytics. DEFRA safeguards the UK's natural environment. Historical fragmentation of data, talent and tools across siloed platforms and organizations, made it difficult to fully exploit the department’s rich data. DEFRA launched its Data Analytics & Science Hub (DASH), powered by the Databricks Data Intelligence Platform, to unify its data ecosystem. DASH enables hundreds of users to access and share datasets securely. A flagship example demonstrates its power, using Databricks to process aerial photography and satellite data to identify peatlands in need of restoration — a complex task made possible through unified data governance, scalable compute and AI. Attendees will hear about DEFRA’s journey, learn valuable lessons about building a platform crossing organizational boundaries.

This hands-on lab guides participants through the complete customer data analytics journey on Databricks, leveraging leading partner solutions - Fivetran, dbt Cloud, and Sigma. Attendees will learn how to:- Seamlessly connect to Fivetran, dbt Cloud, and Sigma using Databricks Partner Connect- Ingest data using Fivetran, transform and model data with dbt Cloud, and create interactive dashboards in Sigma, all on top of the Databricks Data Intelligence Platform- Empower teams to make faster, data-driven decisions by streamlining the entire analytics workflow using an integrated, scalable, and user-friendly platform

This session will provide an in-depth overview of how PepsiCo, a global leader in food and beverage, transformed its outdated data platform into a modern, unified and centralized data and AI-enabled platform using the Databricks SQL serverless environment. Through three distinct implementations that transpired at PepsiCo in 2024, we will demonstrate how the PepsiCo Data Analytics & AI Group unlocked pivotal capabilities that facilitated the delivery of diverse data-driven insights to the business, reduced operational expenses and enhanced overall performance through the newly implemented platform.

PySpark has long been a cornerstone of big data processing, excelling in data preparation, analytics and machine learning tasks within traditional data lakes. However, the rise of multimodal AI and vector search introduces challenges beyond its capabilities. Spark’s new Python data source API enables integration with emerging AI data lakes built on the multi-modal Lance format. Lance delivers unparalleled value with its zero-copy schema evolution capability and robust support for large record-size data (e.g., images, tensors, embeddings, etc), simplifying multimodal data storage. Its advanced indexing for semantic and full-text search, combined with rapid random access, enables high-performance AI data analytics to the level of SQL. By unifying PySpark's robust processing capabilities with Lance's AI-optimized storage, data engineers and scientists can efficiently manage and analyze the diverse data types required for cutting-edge AI applications within a familiar big data framework.

Join us to hear about how National Australia Bank (NAB) successfully completed a significant milestone in its data strategy by decommissioning its 26-year-old Teradata environment and migrating to a new strategic data platform called 'Ada'. This transition marks a pivotal shift from legacy systems to a modern, cloud-based data and AI platform powered by Databricks. The migration process, which spanned two years, involved ingesting 16 data sources, transferring 456 use cases, and collaborating with hundreds of users across 12 business units. This strategic move positions NAB to leverage the full potential of cloud-native data analytics, enabling more agile and data-driven decision-making across the organization. The successful migration to Ada represents a significant step forward in NAB's ongoing efforts to modernize its data infrastructure and capitalize on emerging technologies in the rapidly evolving financial services landscape

Are you struggling to keep up with rapid business changes that demand constant updates to your data pipelines? Is your data engineering team growing rapidly just to manage this complexity? Databricks was not immune to this challenge either. Managing our BI with contributions from hundreds of Product Engineering Teams across the company while maintaining central oversight and quality posed significant hurdles. Join us to learn how we developed a config-driven data pipeline framework using Metric Store and UC Metrics that helped us reduce engineering effort — achieving the work of 100 classical data engineers with just two platform engineers.

Grace-Blackwell is NVIDIA’s most recent GPU system architecture. It addresses a key concern of query engines: fast data access. In this session, we will take a close look at how GPUs can accelerate data analytics by tracing how a row flows through a GPU-enabled query engine.Query engines read large data from CPU memory or from disk. On Blackwell GPUs, a query engine can rely on hardware-accelerated decompression of compact formats. The Grace-Blackwell system takes data access performance even further, by reading data at up to 450 GB/s across its CPU to GPU interconnect. We demonstrate full end-to-end SQL query acceleration using GPUs in a prototype query engine using industry standard benchmark queries. We compare the results to existing CPU solutions.Using Apache Spark™ and the RAPIDS Accelerator for Apache Spark, we demonstrate the impact GPU acceleration has on the performance of SQL queries at the 100TB scale using NDS, a suite that simulates real-world business scenarios.