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Explore every episode of the podcast Mavens of Data

Dive into the complete episode list for Mavens of Data. Each episode is cataloged with detailed descriptions, making it easy to find and explore specific topics. Keep track of all episodes from your favorite podcast and never miss a moment of insightful content.

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TitlePub. DateDuration
What It’s Really Like Being a CDO in Finance (w/ Sia Zahedi)03 oct. 202500:36:05

From launching AI products to modernizing legacy data stacks, we’re going behind the scenes of data-driven transformation in financial remittance.

In this episode, we sit down with Sia Zahedi, former CDO at a global financial remittance company, to get a candid look at the projects, challenges, and decisions that define data leadership in finance.

If you’ve ever wondered what it’s like to lead data strategy at a global financial company, this one is for you.

What You'll Learn:
  • What the day-to-day of a CDO looks like

  • Real-world use cases for AI in financial services

  • The difference between launching AI prototypes and real products

  • Career advice for aspiring CDOs and senior data leaders

 

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Inside the Mind of an Exponential Athlete: Data and High Performance (w/ Ken Jee)26 sept. 202500:48:22

Ken Jee has spent a decade in sports analytics, working at the intersection of data science and athlete performance.

Now, he’s building The Exponential Athlete, a podcast dedicated to exploring what makes athletes reach their highest potential.

In this show, Ken shares:
  • His 10-year journey in sports analytics and the lessons data can, and can't teach us about performance.

  • How his background in data science set him up to successfully launch The Exponential Athlete.

  • The limits of analytics — why diagnosis is easy, but decision-making is complex.

  • How mental visualization (seeing success before it happens) plays a crucial role in athletic and personal excellence.

  • The intersection of training philosophy, psychology, and data in shaping elite performers.

Whether you’re passionate about sports, data science, entrepreneurship, or personal growth, this episode offers practical insights you can apply immediately.

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Analytics With Impact: How to Break the Cycle and Drive Real Results (w/ Ollie Hughes)19 sept. 202500:52:51

Too many dashboards.
Endless ad-hoc questions.

Analytics teams often get trapped supporting the business, without driving it forward. In this show, Ollie Hughes, CEO of Count, will show you how to break free.

Based on real-world case studies and hard-won experience, Ollie will walk us through:

  • The common traps analytics teams fall into — and why good intentions often lead to low impact 

  • How to shift from "answering questions" to "solving business problems"

  • Why operational clarity, not just better data, is the key to better outcomes.

  • Real use cases and strategies for building high-leverage analytics inside your organization.

If you're ready to move beyond dashboards and truly drive business success, this is the show you can’t afford to miss.

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Breaking into Data Science in 2025 (w/ Chris Bruehl)12 sept. 202500:54:03

In this episode, we're joined by Maven’s own Chris Bruehl to unpack the 2025 data science landscape and explore what it really takes to break into the field today.

If you're curious about what data scientists actually do — and how to become one — you won’t want to miss this!

What You'll Learn:
  • How the data scientist role compares to other data careers

  • The essential skills you need to land a data science job in 2025

  • Smart strategies to position yourself before applying

 

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LLMs in the Trenches: What Breaks and Why (w/ Andriy Burkov)05 sept. 202500:51:48

LLMs seem like a hot solution now, until you try deploying one.

In this episode, Andriy Burkov, machine learning expert and author of The Hundred-Page Machine Learning Book, joins us for a grounded, sometimes blunt conversation about why many LLM applications fail.

We talk about sentiment analysis, difficulty with taxonomy, agents getting tripped up on formatting, and why MCP might not solve your problems.

If you’re tired of the hype and want to understand the real state of applied LLMs, this episode delivers.

What You'll Learn:
  • What is often misunderstood about LLMs

  • The reliability of sentiment analysis

  • How can we make agents more resilient?

 

📚 Check out Andriy’s books on machine learning and LLMs:

The Hundred-Page Machine Learning Book

The Hundred-Page Language Models Book: hands-on with Pytorch 

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Making Smart Smarter: Decision Intelligence in Action (w/ Joe Dery)29 août 202500:56:01

In this episode, we sit down with Joe Dery, Vice President of Customer Success at Aera Technology, to explore a concept that's shifting how organizations think about analytics: Decision Intelligence.

We unpack what decision intelligence really means (hint: it’s not just another buzzword), why some data scientists still resist it, and how this discipline helps surface causal insights — not just correlations. Joe brings firsthand use cases from the field, showing how DI is helping organizations not only analyze what’s happening but also decide what to do about it.

Whether you're a data scientist, product manager, or exec who wants to move from dashboards to decisions, this one’s for you.

What You'll Learn:
  • What decision intelligence is — and what it isn’t

  • Why some in the data space push back against it

  • How DI gets you closer to causality (not just correlation)

  • Real-world use cases where DI created business impact

  • Why decision metadata is the secret sauce for long-term success

 

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Disrupting Data Governance and The AI Revolution (w/ Laura Madsen)22 août 202500:54:26

AI is moving fast, but are organizations prepared to keep up?

In this episode, data professional Laura Madsen joins us to unpack why most companies are lagging behind, how tech debt is holding businesses back, and why knowledge graphs are the way forward.

Join us for a bold conversation on why the AI revolution needs better data governance, not just bigger models.

What You'll Learn:
  • Who’s thriving in disruption, which industries embrace AI, and why others are stuck

  • The hidden cost of tech debt and why most organizations avoid real transformation

  • The power of knowledge graphs, and why they’re the key to making AI work at scale 

  • What AI still can’t do for us, and the gaps we need to fill with human expertise

 

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Data Literacy in the Digital Age (w/ Kathy Rondon)15 août 202500:42:18

We live in a world where people are concerned about social media tracking their data—but at the same time, willingly send their DNA to companies like 23andMe.

Why does this happen? What do companies actually do with our data? And how can we, as individuals, become more data-literate to make informed decisions?

In this episode, we sit down with Kathy Rondon, author of “We The People: A Playbook for Data Ethics in a Democratic Society,” data expert and advocate for data literacy.

If you've ever wondered how to take control of your digital footprint, make sense of statistics, or separate fact from fiction in a world full of data, this episode is for you.

What You'll Learn:
  • How companies collect and use your data—sometimes in ways you wouldn't expect

  • Why do we trust some organizations with our most personal data while fearing others

  • The power of statistics and how understanding the basics would help everyone better navigate news, research, and even politics

 

📚 Be sure to check out Kathy's book: “We The People: A Playbook for Data Ethics in a Democratic Society” 

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Beyond the Basics: Key Statistical Methods and Career Strategies for Data Analysts (w/ Josh Starmer)08 août 202500:51:41

If you were only going to learn a few statistical techniques as an analyst, where should you focus?

Josh Starmer, Founder of StatQuest, shares how learning these skills can boost your career. We dive into why linear regression is the bedrock for advanced statistical tests like the t-test, and why understanding Principal Component Analysis (PCA) can give you an edge in working with complex datasets.

But it’s not just about the math—we also explore how expanding your skill set beyond the numbers can make you a stronger candidate for promotions and new roles.

From building a diverse portfolio of skills to positioning yourself effectively in quarterly reviews, we discuss strategies to ensure you stand out in your organization and the broader job market.

Whether you’re early in your data career or looking to sharpen your expertise, this episode gives you actionable insights to grow both technically and professionally.

What You'll Learn:
  • Core statistical methods every analyst should know, including why linear regression is the foundation for advanced analytics 

  • How learning tangential skills like Principal Component Analysis (PCA) can set you apart in the field 

  • Positioning yourself for success in quarterly reviews and career conversations

 

Be sure to check out Josh’s Illustrated Guide to Machine Learning and his YouTube channel!

Follow Josh on LinkedIn!

 

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Transitioning to Analytics when You're Established, Experienced, and Possibly Well-Paid (w/ Andrew Madson)01 août 202500:53:39

Thinking about transitioning into analytics but worried about starting over?

Andrew Madson has been in your shoes. Once a compliance executive, Andrew successfully pivoted into analytics and now is a Professor of analytics at five universities. In this episode, we dive deep into what it really takes to make a career shift when you’re already successful.

Don't miss this conversation packed with real insights for professionals considering a move into analytics!

What You'll Learn:
  • How to handle the fear of leaving a high-paying career for something new

  • Why transitioning is different from starting fresh—and how to use your experience as a superpower

  • Bootcamp vs. Master’s—what’s worth your time and money?

  • The must-have skills and topics when evaluating an analytics education

 

To hear even more from Andrew, you can check out his YouTube channel

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Cinematic Techniques for Data Storytelling (w/ Angelica Lo Duca) | Mavens of Data25 juil. 202500:49:50

What if your next data presentation felt less like a spreadsheet and more like a blockbuster movie?

In this episode, we’re joined by Angelica Lo Duca, Researcher at IIT-CNR and a master of transforming numbers into narratives, to explore the intersection of cinematography and data storytelling.

Learn how to extract a “hero” from your data, structure your analysis like a compelling story, and tailor your presentations for different audiences to ensure maximum impact.

Angelica reveals how the techniques filmmakers use—focusing on key characters, building tension, and delivering climactic resolutions—can be applied to data storytelling. She’ll also discuss the role of the data storyteller as a guide and how to strike a balance between clarity and creativity.

Whether you’re presenting to executives, stakeholders, or teammates, this episode will help you level up your communication skills and make your insights unforgettable.

What You'll Learn:
  • How to identify and extract a “hero” from your data to drive a compelling narrative.

  • Cinematic techniques that turn complex analyses into engaging stories.

  • How to tailor your data presentation to resonate with different audiences.

  • The responsibilities and creative power of the data storyteller.

 

Angelica is the author of Become a Great Storyteller: Learn How You Can Drive Change with Data. Find it here!

 

 

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Leveling Up: Analytics in the Gaming Industry (w/ Carly Taylor)18 juil. 202500:59:20

In this episode, we’ll chat with Carly Taylor, Field CTO of Gaming at Databricks, to explore the fascinating world of data analytics in the gaming industry, where every click, quest, and respawn generates insights that shape the games we love.

Carly shares her experience working in gaming to help harness data for better gameplay and smarter monetization. She’ll break down what analysts, data scientists, and sales engineers actually do in gaming and how teams turn raw data into real-time decisions.

Whether you’re a player, a data nerd, or someone who wants to turn both into a career, this episode is your walkthrough guide to data in gaming.

What You'll Learn:
  • How gaming companies use data to optimize player experience and business outcomes 

  • What it’s like to work in a field engineering or customer-facing analyst role

  • The tools, KPIs, and best practices for success

  • How to break into a data role in gaming and what skills to focus on

 

Stay updated with Carly’s latest by subscribing to her Substack

 

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The Art of Data Enrichment: Lessons from the Frontlines (w/ Doug Needham)11 juil. 202500:51:08

What does it take to turn raw data into actionable insights, especially in high-stakes environments? In this compelling episode, we sit down with Doug Needham, author of Data Structure Synthesis and The Enrichment Game.

From his fascinating work updating data virtually during Desert Storm to insights on leveraging third-party data for enterprise decisions, Doug brings a wealth of real-world stories and practical advice to this conversation. You’ll learn how to think critically about your data strategy, navigate complex enterprise data ecosystems, and see data as more than just numbers on a screen—it’s a resource with untapped potential.

Whether you’re a data professional, analyst, or someone just starting to explore the world of analytics, this episode is packed with lessons on innovation, efficiency, and making data work smarter, not harder.

What You'll Learn:
  • How data enrichment unlocks the full potential of data.

  • The role of data structure synthesis in solving complex enterprise challenges.

  • The realities of working with data in a corporate setting.

 

Doug is also the author of The Enrichment Game - A Story About Making Data Powerful: find it here!

 

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Key Skills Every Data Scientist Must Have (w/ Chris Bruehl & Kimberly Fessel)04 juil. 202500:37:02

If you are interested in a career in Data Science, this one is for you!

In this episode with Kimberly Fessel (Dr. Kim Data) & Maven’s own Chris Bruehl, you’ll learn about the most important skills Data Scientists need, and where you should be focusing your energy.

You’ll walk away with a solid understanding of the Data Scientist role, core responsibilities, tools of the trade, and a concrete roadmap you can follow to start building skills immediately.

What You'll Learn:
  • The technical skills you need for a Data Science career

  • Complementary soft skills that make a difference

  • How to prioritize your learning to make the most of your effort

 

This session was part of our OPEN CAMPUS week in October, which included 6 days of live expert sessions.

 

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The Future of Work- When AI Becomes Your Coworker (w/ Sadie St. Lawrence)27 juin 202500:46:07

What happens when AI becomes your coworker, not your replacement?

In this episode, we sit down with Sadie St. Lawrence, founder of HMCI, to explore the rapidly evolving future of work, where AI isn't just a tool, but a teammate.

We dig into how blue-collar and white-collar jobs will be shifting as AI and automation move from the periphery into our daily workflows. From analysts to factory floors, from dashboards to shop floors, what will it actually feel like to work alongside intelligent machines?

Sadie also shares the deeply personal story of her 18-month journey exiting Women in Data, what she learned in building a global community, and how she’s now thinking about the next wave of human + AI collaboration.

If you're wondering what your job will look like in 5 years, this one's for you.

What You'll Learn:
  • What it really means to work with AI as a teammate

  • How analysts can stay relevant in the age of automation

  • The different futures ahead for blue- vs. white-collar roles

  • How Sadie built, scaled, and thoughtfully exited Women in Data

  • What makes a career resilient in an AI-driven economy

 

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Building More Accurate, Trustworthy AI Agents (w/ Stephanie Valarezo)20 juin 202500:54:20

As AI agents become more powerful and widely adopted, enterprises face a new challenge: how to build them on a foundation of trustworthy, AI-ready data that includes both structured and unstructured data.

Unstructured data introduces new complexity for organizations already contending with large and growing volumes of data that is often distributed and disconnected, and from more information sources.

In this episode, Stephanie Valarezo, Program Director, Product, from IBM Data Integration, shares how organizations can simplify and scale the integration, access and governance of unstructured and structured data.

Explore how IBM is simplifying the enterprise data stack by empowering teams to integrate structured and unstructured data, using batch, real-time streaming, or replication techniques, while extending governance beyond the data layer to the AI agents themselves.

Whether you're modernizing legacy infrastructure, accelerating agent development, or building robust governance strategies, this session will give you a blueprint to:

  • Unlock the value of unstructured data for enterprise-grade AI
  • Accelerate data intelligence through built-in observability and governance
  • Simplify your tech stack while improving trust and traceability in AI outputs

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Trends, Community, and Standing Out as an Analyst in 2025 (w/ Dustin Schimek)13 juin 202500:56:02

The analytics industry is evolving faster than ever, and staying ahead requires more than technical expertise—it takes community building, internal advocacy, and the ability to drive impactful projects.

In this episode, Dustin Schimek, Data Fluency Program Manager at MedStar Health, discusses the state of analytics in 2025.

We explore what analysts are working on today, the importance of internal evangelism, and how to spearhead new projects and get to proof of concept (POC) quickly. Dustin also shares insights on standout traits for analysts and why community is at the heart of analytics success.

If you’re looking to thrive in analytics and stay at the forefront of the industry, this show is for you!

What You'll Learn:
  • Key trends shaping the analytics industry in 2025

  • The role of community building and internal evangelism in driving analytics success

  • How to accelerate proof of concept (POC) for new analytics projects

  • Common themes that make analysts stand out in today’s industry

 

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Business 101 for Data Professionals (w/ Jordan Morrow)06 juin 202500:55:18

Data professionals often excel at technical skills but struggle to connect their work to broader business goals.

In this show, we’re joined by Jordan Morrow, Senior VP of Data and AI Transformation at AgileOne and author of Business 101 for the Data Professional, to discuss bridging the gap between data and strategy.

Jordan offers practical advice on developing business acumen, aligning data work with organizational goals, and communicating effectively with stakeholders.

Whether you’re a data scientist, analyst, or aspiring leader, this conversation will help you unlock the full potential of your data career.

What You'll Learn:
  • The essential business skills every data professional needs

  • How to align data projects with organizational goals

  • Strategies for effective communication with non-technical stakeholders

  • Common pitfalls data professionals face when navigating business challenges—and how to avoid them

  • Actionable tips to become a more strategic, business-savvy data professional

 

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Creating Tools and Working with Data in Finance (w/ Matt Dancho)30 mai 202500:56:48

What happens when a passion for data science meets the fast-paced world of stock trading?

In this episode, we’re joined by Matt Dancho, Founder of Business Science, Quant Science, and the creator of the popular tidyquant package, who shares his journey from data scientist to launching Business Science and the projects and packages he’s built along the way.

We explore how he leverages Python and R to trade stocks, as well as the lessons he’s learned from building a business in the data.

Whether you’re a data professional, a stock market enthusiast, or an aspiring entrepreneur, this episode is packed with actionable insights to level up your skills and strategies.

What You'll Learn:
  • Taking your data skills and furthering your career to make money.

  • Tips for working with stock data.

  • How AI is changing analytics

 

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More Than a Brand: Turning Your Data Expertise Into a Real Product (w/ Scott Taylor)23 mai 202501:00:59

In business, ideas don’t stand alone; they have to be communicated effectively to drive action. Whether through reports, presentations, or product pitches, success comes from not just having data expertise but knowing how to make it matter.

Yet many in the data world focus on just establishing a “personal brand” rather than developing something tangible. So, what does it take to turn expertise into a real product?

In this episode with Scott Taylor, The Data Whisperer, we take a behind-the-scenes look at how creativity and communication shape success in the data space beyond just technical skills or personal branding.

Listen for a raw and insightful conversation on navigating creativity, career growth, and the business of turning data expertise into something real.

What You'll Learn:
  • Why communication is a superpower in business and data

  • The balance between technical skills and storytelling in shaping ideas

  • How creativity applies in a structured B2B context

  • Content, branding, and the tools of a data creator—beyond just a LinkedIn presence 

  • The challenge of crafting the perfect one-sentence pitch

 

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From FAANG to Entrepreneurship: Building a Career with Impact (w/ Christina Stathopoulos)16 mai 202500:41:49

Breaking away from the corporate ladder to carve your own path is a journey filled with challenges, growth, and unexpected rewards.

In this episode, we host Christina Stathopoulos: a trailblazer who transitioned from a Google role to entrepreneurship and gained experience trying to build her own company in Spain! 

Together, we explore what it means to make an impact in your career, the art of building a personal brand, and how to navigate pivotal career decisions with confidence.

Christina shares candid advice and discusses how embracing change can lead to unparalleled opportunities but also can lead to difficulties.

Whether you’re dreaming of stepping into entrepreneurship, striving to shape a meaningful career, or looking to grow your personal brand, this show will be packed with insights for data professionals!

What You'll Learn:
  • Actionable advice for shaping a career aligned with your goals and values.

  • How to transition from corporate to entrepreneurship.

  • The importance of building a personal brand and why it matters.

  • Insights from working abroad: perspectives on career and growth.

 

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Building Your Network in Data: Communities, Hackathons & Career Growth (w/ Yujian Tang)09 mai 202500:36:42

Data science isn’t just about models and code—it’s about people, connections, and shared knowledge.

From online forums to in-person hackathons, communities play a crucial role in shaping careers and innovations. In this episode, we’re joined by Yujian Tang — an expert in building and fostering data-driven communities — to discuss how these spaces can help you grow and why developer advocacy is a great role for people passionate about both building and fostering community.

Whether you're looking to expand your network, break into data science, or grow your own community, this episode is packed with actionable insights from someone who has done it all.

What You'll Learn:
  • How getting involved in different communities can accelerate your career and open up unexpected opportunities

  • The key differences between various data communities and how to find the right fit

  • What it takes to build and nurture a thriving community of your own

  • The evolving role of the Developer Advocate in growing data product visibility through community.

 

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The Future of Analytics in the Age of Agentic AI (w/ Vin Vashishta)02 mai 202500:53:38

Agentic AI is here, but what is it? What are the differences between the traditional LLMs and this new agentic AI we’re hearing about? With AI systems making autonomous decisions, driving analytics, and reshaping data strategies, what does this mean for analysts?

We’re joined by Vin Vashishta, CEO at V Squared and an expert in AI strategy and data science. Vin’s book, From Data to Profit, lays out a roadmap for turning AI and analytics into real business value. 

AI isn’t just a tool anymore; it’s becoming a collaborator. How should we think about adapting? Don’t miss his insights in this show!

What You'll Learn:
  • How Agentic AI will redefine the role of analysts in analytics.

  • What makes an AI ‘agent’ different from a traditional LLM?

  • Why knowledge graphs are the key to AI’s next leap forward.

  • How to future-proof your career in analytics.

 

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No Data Left Behind: Strategies for Working with All Data Types (w/ Harpreet Sahota)25 avr. 202500:49:24

Are you ready to level up your analytics game and tackle the challenges that come with data-heavy projects?

In this episode, Harpreet Sahota, a data science leader with years of experience helping analysts and teams thrive, shares actionable insights and strategies for staying ahead in the fast-evolving world of data.

Harpreet will help you develop a practical mindset to tackle real-world challenges and build the confidence to lead impactful projects. From cleaning messy datasets, to deciding between building or buying a solution, to training a computer vision model, Harpreet is here to share his expertise.

Whether you’re an aspiring data analyst or a seasoned professional, this episode will equip you with the skills and clarity to succeed.

What You'll Learn:
  • Data Cleaning for Any Data Type: Proven techniques to clean and prepare your data for analysis.

  • Training a Computer Vision Model: What to consider before you start and how to ensure success.

  • Build vs. Buy for LLMs: When to create your own solution and when to leverage existing tools.

  • Setting Yourself Up for Success as an Analyst: Strategies to stand out and make your work impactful.

 

Register for free to be part of the next live session: https://bit.ly/3XB3A8b

 

Interested in learning more from Harpreet? Connect with him on LinkedIn

 

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How AI is Changing Analytics: What's New and What Stays the Same (w/ Ravit Jain)18 avr. 202500:52:47

Artificial Intelligence is transforming the world of analytics, but how much of the job is changing?

In this episode, we explore the AI-powered future of analytics: real-time insights, smarter Business Intelligence (BI) tools, and how Excel is turning heads with ChatGPT integration. Will AI replace analysts or supercharge what they already do best?

Ravit Jain, Founder of the Ravit Show, will dive into what’s staying the same, what’s evolving, and what you need to know to keep up. Discover how AI is revolutionizing analytics, from real-time insights to the future of BI tools and Excel’s new ChatGPT capabilities.

Stay ahead of the curve— uncover how you can thrive in the AI-powered future of analytics!

What You'll Learn:
  • How AI-powered Excel is simplifying data wrangling and reporting.

  • What parts of an analyst's role are evolving, and what core skills will always matter.

  • How you can future-proof your analytics career in an AI-driven world.

 

Register for free to be part of the next live session: https://bit.ly/3XB3A8b

 

Interested in learning more from Ravit? Check out The Ravit Show! 

 

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Crushing Your Analyst Interview Insider Interview Tips & Portfolio Projects (w/ Nick Singh)11 avr. 202500:54:03

Ready to land your dream analytics job?

In this episode, we sit down with Nick Singh—author, career coach, and Founder of DataLemur—to share insider tips for crushing analyst interviews. Nick will guide us through mock interview questions to sharpen your skills and discuss his portfolio project using Spotify hip-hop data that grabbed recruiters’ attention. If you're preparing for interviews, building projects, or looking for real-world inspiration to stand out as an analyst, this episode is for you.

Whether you're gearing up for interviews, brainstorming your next portfolio project, or seeking practical advice to shine as an analyst, this episode will give you practical tips you can implement immediately.

What You'll Learn:
  • Proven tips and tricks to succeed in analyst interviews.

  • How to answer common interview questions with confidence.

  • Why portfolio projects matter and how Nick’s Spotify hip-hop data project helped him stand out.

 

Register for free to be part of the next live session: https://bit.ly/3XB3A8b

 

Interested in learning more from Nick? Check out his book, Ace the Data Science Interview, and DataLemur!

 

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The People Side of Analytics: Mastering Communication (w/ Tiankai Feng)04 avr. 202500:34:47

If you want to elevate your data career, mastering communication is key…and to do that, you do not want to miss this show about the people side of analytics!

Tiankai Feng, Head of Data Strategy & Governance at Thoughtworks, dives deep into language's critical role in how data analysts work with business stakeholders—and why getting it right matters.

You’ll leave the show with practical tips for bridging the gap between technical and non-technical audiences and actionable insights to ensure your data drives impact, not confusion.

Sharpen your ability to speak the language of business and create stronger partnerships with your stakeholders!

What You'll Learn:
  • How to translate technical insights into business-friendly language

  • Common mistakes to avoid when working with non-technical teams

  • Strategies to build trust and alignment through clear communication

  • How mastering this skill can boost your career

 

Register for free to be part of the next live session: https://bit.ly/3XB3A8b

 

Interested in learning more from Tiankai? Check out his book, Humanizing Data Strategy: Leading Data with the Head and the Heart, and his YouTube channel, where he shares original songs about data!

 

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Setting Yourself Up for Success as an Analyst (w/ Jason Krantz)28 mars 202500:57:12

How do you stand out as an analyst or gain the support you need to succeed? Join Jason Krantz, a renowned analytics leader, in this eye-opening session designed to help you thrive in your role and make a meaningful impact.

Jason brings a wealth of experience and actionable insights, helping analysts improve their skills and influence within their organizations. Whether you're just starting or looking to level up, this session will equip you with the mindset and tools to excel.

What You'll Learn:
  • How to align your work with the business’s most important goals.

  • The value of having a boss who understands data and why it matters.

  • Strategies to excel in environments where support might be lacking.

  • What it takes to stand out as an analyst in today’s competitive landscape.

 

Register for free to be part of the next live session: https://bit.ly/3XB3A8b

 

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Breaking Silos & Working Cross Functionally For Success in Analytics (w/ Eric Sims)21 mars 202500:51:47

Collaboration is key in analytics, but working with product, sales, and developer teams can often feel like navigating different worlds.

In this episode, Eric Sims—Sr. Data Scientist at NRG Energy—joins us to share proven strategies for building successful cross-functional relationships.

We’ll also dive into some of Eric’s most interesting projects in manufacturing, utilities, and finance, highlighting how analytics drives value in these industries. Whether it’s aligning with product priorities, supporting sales goals, or partnering with developers, Eric brings practical advice to help you thrive in cross-functional teams.

If you’re an analyst or data professional looking to bridge gaps, improve communication, and deliver projects that matter, this episode is for you.

What You'll Learn:
  • How to collaborate effectively with product, sales, and developer teams.

  • Key challenges and opportunities for analytics in manufacturing, utilities, and finance.

  • Real-world examples of projects that delivered cross-functional success.

  • Tips for communicating insights and aligning with business priorities.

  • Strategies to set yourself up for success as an analytics professional.

 

Register for free to be part of the next live session: https://bit.ly/3XB3A8b

 

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Augmenting Your Work and Personal Life with Artificial Intelligence (w/ Michael Tiffany)14 mars 202500:48:08

If you’re interested in AI but not sure if you’re leveraging it to its full potential, this show is for you.

Michael Tiffany, Founder and CEO of Fulcra Dynamics, is here to help you get your head around AI, its best use cases today, and where things are heading in the future.

You’ll leave the show with a better understanding of AI, trends to keep an eye on, and how you can take full advantage of exciting new technology in your work and your personal life.

What You'll Learn:
  • AI use cases you should have on your radar at work

  • How to leverage AI effectively to augment your personal life

  • Where AI is headed and how you can make sure you’re not falling behind

 

Register for free to be part of the next live session: https://bit.ly/3XB3A8b

 

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Build a Strong Career in Data: Career Advice from the New Host of Mavens of Data28 févr. 202500:52:30

If you want to build a strong career in data, this show is for you.

We welcomed the new face of Mavens of Data, Kristen Kehrer, who shared her best advice for data professionals and those aspiring toward a data career.

You’ll leave the show with some actionable tips and some of the best career advice directly from one of our favorite data pros of all time.

What You'll Learn:
  • What you should focus on if you’re trying to land your first job

  • How to succeed once you are in that initial role

  • How to think about building a successful career long-term

 

Register for free to be part of the next live session: https://bit.ly/3XB3A8b

 

About our guest:

Kristen Kehrer has been providing innovative & practical statistical modeling solutions in the utilities, healthcare, and eCommerce sectors since 2010.

Alongside her professional accomplishments, she achieved recognition as a LinkedIn Top Voice in Data Science & Analytics in 2018. Kristen is also the founder of Data Moves Me, LLC, and has previously served as a faculty member and subject matter expert at the Emeritus Institute of Management and UC Berkeley Ext.

Kristen lights up on stage and has spoken at conferences like ODSC, DataScienceGO, BI+Analytics Conference, Boye Conference, and Big Data LDN, etc.

She holds a Master of Science degree in Applied Statistics from Worcester Polytechnic Institute and a Bachelor of Science degree in Mathematics.

 

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How to Land Your First Data Job with No Experience (w/ Elijah Butler)21 févr. 202500:50:16

If you’re trying to transition into a data career and are struggling to get your first job offer, this one is for you.

Elijah Butler is here to help you navigate a difficult job market. He’ll help you make sure you are focusing on the right skills, talk through how to find jobs and apply the right way, and prepare you for your next interview.

You’ll leave the show with a solid understanding of how to break into data, and a detailed roadmap for how you can get started.

What You'll Learn:
  • Which skills you should be focusing on, and which ones to skip
  • Tips for finding jobs, networking, applying, and securing a job interview

  • What employers are looking for, and how you can assure them you’re a smart hire

 

Register for free to be part of the next live session: https://bit.ly/3XB3A8b

 

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How to Move Into Data Science & Analytics (w/ Andrew Jones)14 févr. 202500:42:28

If you’re looking to transition into a career in Data Science or Data Analytics, this one is for you!

In this episode with Data Science Infinity Founder Andrew Jones, you’ll learn what hiring managers are looking for, and hear some great advice for what you should and shouldn’t be doing if you want to break into data.

You’ll leave with a solid roadmap of steps to take, and practical tips and actionable advice to help you launch your own data career.

What You'll Learn:
  • What hiring managers are looking for in candidates

  • How you can build an amazing portfolio to showcase your skills

  • Where you should focus your learning to maximize your career results

 

This session was part of our OPEN CAMPUS week in October, which included 6 days of live expert sessions.

 

Register for free to be part of the next live session: https://bit.ly/3XB3A8b

 

 

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Transitioning Into a Data Career (w/ Chris Mengel & Clay Cooper)07 févr. 202500:41:43

If you want to transition into a data career, this one is for you!

In this episode, you’ll hear from two Maven Analytics Hall of Famers, Chris Mengel and Clay Cooper, who will talk about their experiences transitioning into data and share some of their best tips for those trying to do the same.

You’ll hear the whole story - their struggles, successes, what worked and what didn’t, and hear the advice they wish they had heard when they first decided to jump into data.

What You'll Learn:
  • Things that made the biggest difference in their successful career transitions

  • Pitfalls you should look to avoid on your own journey

  • Common misconceptions about the job market and career pivots

 

This session was part of our OPEN CAMPUS week in October, which included 6 days of live expert sessions.

 

Register for free to be part of the next live session: https://bit.ly/3XB3A8b

 

 

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How to Leverage Your Data Skills on Product Teams (w/ Bethany Lyons)31 janv. 202500:46:38

In this episode, you’ll get to hear from former Tableau Product Manager Bethany Lyons about the importance of having product skills on data teams.

Bethany talks us through her experience as a PM at one of the most well-known data companies in the world, and how she views the role of product skills on data teams.

You’ll leave with a better understanding of what Product teams do in an organization and how you can leverage your data skills to make a major impact.

What You'll Learn:
  • Why having product skills is so important on data teams
  • Tips and tricks to bring product thinking into your data role

  • Bethany’s best advice for anyone pursuing a career in data

 

Register for free to be part of the next live session: https://bit.ly/3XB3A8b

 

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About our guest:

Bethany Lyons has a passion for solving hard problems with data analytics, and believes that product management is the best way to advance this cause.

 

 

How to Use Decision Science to Make Data Based-Decisions (w/ Matthew Brandt)24 janv. 202500:47:19

Are you tired of simply answering stakeholder questions, not knowing where or how it ends up being used? Do you want to earn your seat at the table of decision makers in your company, helping shape the future?

Don’t miss this unique opportunity to hear from Matthew Brandt, aka mattytwoshoes, as he leads you through the field of Decision Science and helps you secure your future as the go-to expert in smart decision-making.

After this session you’ll click away with a solid understanding of Decision Science as well as an easy framework you can apply to your work right away.

What You'll Learn:
  • What Decision Science really is and why it’s so relevant to your work as an analyst
  • How you can replace the tedious question-answer dance with an effective framework

  • The one thing Matthew recommends to start with Decision Science at your company

 

Register for free to be part of the next live session: https://bit.ly/3XB3A8b

 

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About our guest:

Dylan Anderson is a Data Strategy Consultant, bridging the gap between data and strategy.

 

An Introduction to Data Strategy (w/ Dylan Anderson)17 janv. 202500:47:16

If you’re considering a career as a Data Strategy Consultant or just want to learn more about what that is, then this one is for you!

In this episode, Dylan Anderson walks us through the life of a Data Strategy Consultant, the work they do, keys for success in the role, and also gives his general advice to anyone looking to build a career in data. 

You’ll leave with a better understanding of Data Strategy Consulting work and whether or not it might be the right fit for you and your career.

What You'll Learn:
  • What a Data Strategy Consultant does
  • How to thrive as a Data Strategy Consultant

  • Dylan’s best advice for anyone pursuing a career in data

 

Register for free to be part of the next live session: https://bit.ly/3XB3A8b

 

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About our guest:

Dylan Anderson is a Data Strategy Consultant, bridging the gap between data and strategy.

An Introduction to Financial Modeling (w/ Giles Male)10 janv. 202500:50:15

If you work in data or are trying to break into a data career, you might want to consider adding some Financial Modeling skills to your tool kit.

In this episode, you’ll get a great overview of Financial Modeling and what it takes to succeed in that career path, from none other than Giles Male, Co-Founder of Full Stack Modeller and “Humblest MVP in the world”.

You’ll leave with a better understanding of the Financial Modeling career path, and whether or not it might be something you should consider for your own career.

What You'll Learn:
  • What a Financial Modeler does on the job
  • Keys to success as a Financial Modeler

  • Giles’ best advice for your career

 

Register for free to be part of the next live session: https://bit.ly/3XB3A8b

 

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The Skills You Need to Thrive in Data (w/ Annie Nelson, Eevamaija Virtanen & Lis Vinueza)03 janv. 202500:41:56

Data careers can be awesome! Challenging work, solid comp, flexibility, and opportunities to learn constantly are just some of the things that make a data career such a great option.

But as the industry has changed rapidly, a lot of newcomers are left feeling confused about which skills they need to focus on in order to thrive.

In this episode with Annie Nelson, Eevamaija Virtanen, and Lis Vinueza, you’ll learn a ton about the skills you should be focused on if you want to go far in data.

What You'll Learn:
  • The technical skills you need to succeed, and those you can skip

  • The soft skills you can’t afford to overlook

  • Keys to success for a long and successful career in data

 

This session was part of our OPEN CAMPUS week in October, which included 6 days of live expert sessions.

 

Register for free to be part of the next live session: https://bit.ly/3XB3A8b

 

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Navigating the Data Career Ladder (w/ Andrew Madson)27 déc. 202400:36:14

If you’re early in your data career or still trying to break in, you’ve probably got questions about the path ahead and how you can advance to more senior roles.

In this episode, you’ll hear from industry veteran Andrew Madson who will share his best advice to help you navigate your career path. 

You’ll leave with a better understanding of the road that lies ahead, and some concrete and actionable tips you can use to help accelerate your career.

What You'll Learn:
  • What you can expect from a career in data

  • How promotion decisions are made and how you can position yourself well

  • Strategies for building your brand, network, and skills to accelerate your career

 

This session was part of our OPEN CAMPUS week in October, which included 6 days of live expert sessions.

 

Register for free to be part of the next live session: https://bit.ly/3XB3A8b

 

About our guest:

Andrew Madson is a Data Analytics, Data Science, and AI Evangelist at Dremio, with deep expertise in leveraging data to drive innovation. With a strong background in analytics, machine learning, and education, he empowers organizations and individuals to unlock the full potential of their data.

 

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How to Use LinkedIn to Supercharge Your Data Career (w/ Ian Klosowicz & Lauren Rosenthal)20 déc. 202400:36:43

Trying to break into a data career in today’s job market can be hard.

One thing that can help more than anything else is networking and becoming active in the data community, especially on LinkedIn.

In this episode, you’ll hear from two of your favorite data pros, Ian Klosowicz and Maven’s own Lauren Rosenthal, who unlocked major career opportunities by getting active on LinkedIn.

What You'll Learn:
  • Why LinkedIn matters more than ever in 2024 and beyond

  • Practical advice to make sure you’re using LinkedIn the right way

  • Actionable tips you can use to start making progress today

 

This session was part of our OPEN CAMPUS week in October, which included 6 days of live expert sessions.

 

Register for free to be part of the next live session: https://bit.ly/3XB3A8b

 

About our guest:

Ian Klosowicz is a data analyst who helps aspiring analysts launch successful careers. With a proven roadmap and a passion for teaching, he has guided thousands to their first roles in data analytics.

 

As an Account Exec and Data Analyst on the Maven Team, Lauren Rosenthal plays an integral role onboarding & supporting our B2B teams, helping analyze our key success metrics, and producing great content.

 

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Why You Need A Personal Brand in Data (w/ Kate Strachnyi & Andreas Kretz)13 déc. 202400:38:55

Building a strong personal brand is your ticket to standing out from your competition in today’s difficult job market.

During this episode, you’ll learn why and how you should build a personal brand to elevate your career.

You’ll hear from some of the biggest names in data: Kate Strachnyi, Founder of DATAcated, and Andreas Kretz, Founder of Learn Data Engineering. Kate and Andreas will share their best strategies, tips, and actionable advice to put you on a path to building a successful brand that will accelerate your career.

 

What You'll Learn:
  • Why a personal brand is critical for success in 2025 and beyond

  • What a strong personal brand should look like

  • How you can start making progress on your personal brand today

 

This session was part of our OPEN CAMPUS week in October, which included 6 days of live expert sessions.

 

Register for free to be part of the next live session: https://bit.ly/3XB3A8b

 

 

 

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Best Practices for Working with Stakeholders (w/ Madison Schott)06 déc. 202400:37:37

Working effectively with stakeholders is a critical skill for any data professional. It can be hard, especially when you’re working with folks outside of the data team, with varying skill sets.

In this episode, Madison Schott will share her best tips for working with stakeholders and also help you steer clear of some of the most common pitfalls.

You’ll leave this show with a solid understanding of stakeholder best practices, and some specific frameworks and tools you can use to be more effective.

 

What You'll Learn:
  • Why working with stakeholders is such an underrated skill

  • Some of the most common pitfalls you should avoid

  • Tips and best practices to work more effectively with all sorts of team members

 

This session was part of our OPEN CAMPUS week in October, which included 6 days of live expert sessions.

 

Register for free to be part of the next live session: https://bit.ly/3XB3A8b

 

 

About our guest:

Madison Schott is the Senior Analytics Engineer at ConvertKit and Author of the Learn Analytics Engineering newsletter

 

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Today's Data Analyst Job Market: How To Win In 2024 (w/ John David Ariensen)22 nov. 202400:45:13

The data analytics job market seems more competitive than ever right now.

In this episode, John David Ariansen talks about the state of hiring, his recent experience in the job market, what employers are looking for, and how you can stand out and set yourself up for success.

You’ll leave the show with a good understanding of the current market, and some practical and actionable tips you can use to land your next data role.

What You'll Learn:
  • What employers are looking for in today’s analytics job market
  • What candidates can expect from applying, interviewing, and offers

  • How you can stand out and set yourself up for success

 

Register for free to be part of the next live session: https://bit.ly/3XB3A8b

 

About our guests:

John David Ariansen is a Business Analyst, Professor, Podcast Host, and Career Advisor.

 

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Make Power BI Your Data Analysis Superpower (w/ Aaron Parry)15 nov. 202400:51:23

Power BI is one of the hottest data analysis tools in today’s job market.

In this episode, Aaron Parry will talk about why Power BI is in such high demand, the things companies are hiring Power BI experts for, and where you should focus if you want to add Power BI to your bag of tricks. 

You’ll leave the show with a deeper understanding of why Power BI is so valuable, what it can do, and where you should focus if you want to build Power BI skills that will advance your career.

What You'll Learn:
  • What makes Power BI such a valuable skill set for so many roles
  • Some of the most valuable ways you can use Power BI on the job

  • Where you should focus if you want to build job-ready Power BI skills

 

Register for free to be part of the next live session: https://bit.ly/3XB3A8b

 

About our guests:

Aaron is a professional analytics consultant and Microsoft Power BI expert, with 10+ years working in business intelligence and marketing analytics. He's an instructor, coach and mentor for aspiring analysts, and has deep experience helping companies develop and implement full-stack BI solutions.

 

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Data Analyst or Data Scientist: Career Path Deep Dive (w/ Chris Bruehl & Alice Zhao)08 nov. 202400:51:52

For years, Data Analysts and Data Scientists have been two of the most in-demand roles. In this show, Chris Bruehl and Alice Zhao will talk about the similarities and differences between the two roles, potential career paths, and their thoughts on how you can decide which flavor of data role is a better fit for you. You’ll leave the show with a deeper understanding of these two roles, the types of work they do, the skills required, and some actionable advice for landing the role of your choosing.

What You'll Learn:
  • Why Chris started Maven Analytics, and what the early days were like
  • How the company has evolved over time

  • What’s coming up next for the company and for our learners

 

Register for free to be part of the next live session: https://bit.ly/3XB3A8b

 

About our guests:

Chris Bruehl is a Python expert, certified Statistical Business Analyst, and seasoned Data Scientist, having held senior-level roles at large insurance firms and financial service companies. He earned a Masters in Analytics at NC State's Institute for Advanced Analytics, where he founded the IAA

 

Alice Zhao is a seasoned data scientist and author of the book, SQL Pocket Guide, 4th Edition (O'Reilly). She has taught numerous courses in Python, SQL, and R as a data science instructor at Maven Analytics and Metis, and as a co-founder of Best Fit Analytics.

 

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Founder Fireside: Live With Chris Dutton | Mavens of Data01 nov. 202400:52:57

You might think you know Maven Analytics and its Founder, Chris Dutton. But do you know the whole story? During this show, Chris will talk about how and why Maven got started, how it’s evolved over the years, and where things are heading in the future. You’ll leave this show with a deeper understanding of one of your favorite EdTech companies.

What You'll Learn:
  • Why Chris started Maven Analytics, and what the early days were like

  • How the company has evolved over time

  • What’s coming up next for the company and for our learners

 

Register for free to be part of the next live session: https://bit.ly/3XB3A8b

 

About our guest:

Chris Dutton is an EdTech entrepreneur and best-selling Data Analytics instructor. As Founder and Chief Product Officer at Maven Analytics, his work has been featured by USA Today, Business Insider, Entrepreneur and the New York Times, reaching more than 1,000,000 students around the world.

 

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How To Build The Most In-Demand Data Skills (w/ Luke Barousse & Kelly Adams)25 oct. 202400:48:14

Today’s analytics and data science job market seems to be as competitive as it’s ever been. So it’s more important than ever to know what employers are looking for and have a solid plan of attack in your job search.

In this episode, Luke Barousse and Kelly Adams will walk us through their insights from the job market, talk about exactly what employers are looking for, and lay out an actionable plan for you to start building skills that will help you in your career.

You’ll leave this show with a deeper understanding of the job market, and a concrete roadmap you can use to take your data skills and career to the next level.

 

What You'll Learn:
  • Insights from a deep analysis of the data science and analytics job market

  • The skills employers are looking for, and why they matter

  • A roadmap for building key data science and data analytics skills

 

Register for free to be part of the next live session: https://bit.ly/3XB3A8b

 

About our guests:

Luke Barousse is a data analyst, YouTuber, and engineer who helps data nerds be more productive.

Kelly Adams is a data analyst, course creator, and writer.

Datanerd.Tech

 

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Every Data Professional Needs To Learn SQL (w/ Thais Cooke)18 oct. 202400:53:33

SQL is one of the most widely used data analysis tools around, often discussed as a cornerstone for Data Analysis, Data Science, and Data Engineering careers.

In this episode, Thais Cooke talks about how she leverages SQL in her role as a Data Analyst and shares practical tips you can use to take your SQL game to the next level.

You’ll leave the show with an insider’s perspective on where SQL adds the most value, and where you should focus if you want to build SQL skills that will advance your career.

What You'll Learn:
  • What makes SQL such a valuable skill set for so many roles

  • Some of the most valuable ways you can use SQL on the job

  • Where you can focus if you want to build job-ready SQL skills

 

Register for free to be part of the next live session: https://bit.ly/3XB3A8b

 

About our guest:

Thais Cooke is a Data Analyst proficient in Excel, SQL, and Python with a background in Clinical Healthcare.

 

 

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AI Hype vs Reality: A Friendly Debate (w/ Lindsay Murphy & Colleen Tartow)11 oct. 202400:48:16

Will AI completely revolutionize the way we work as data professionals? Or is it overhyped?

In this episode, Lindsay Murphy and Colleen Tartow will take opposing viewpoints and help us understand whether or not AI can really live up to all the hype.

You’ll leave with a deeper understanding of the current state of AI in data, the tech stack needed to run AI, and where things are heading in the future.

 

What You'll Learn:
  • The tech stack required to run AI and how it differs from prior “big data” stacks

  • Will AI change everything in data? Or is it overhyped?

  • How you should be thinking about AI and its impact on your career

 

Register for free to be part of the next live session: https://bit.ly/3XB3A8b

 

About our guests:

Lindsay Murphy is the host of the Women Lead Data podcast as well as the Head of Data at Hiive.

 

Colleen Tartow is an engineering and data leader, author, speaker, advisor, mentor, and DEI Advocate.

 

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© My Podcast Data · Independent project · Data from Apple & Spotify