In this show, we're joined by Sean Chandler, Director of BI at CenterWell Home Health, to explore what it really means to thrive in BI today. Sean shares his personal journey, including his move into teaching, and offers practical insights on building a career in BI, self-learning for advancement, and fostering a strong partnership between BI and data science teams. Whether you're an aspiring BI analyst, a data scientist aiming to improve collaboration, or a career changer eyeing the BI space, this episode is for you. What You'll Learn: How to successfully transition from other roles into BI, and how to know if it's the right fit for you What good collaboration between BI and data science actually looks like, and how to recognize when it's broken How self-taught skills can accelerate your BI career, even without a formal background   🤝 Follow Sean on LinkedIn!   Register for free to be part of the next live session: https://bit.ly/3XB3A8b   Follow us on Socials: LinkedIn YouTube Instagram (Mavens of Data) Instagram (Maven Analytics) TikTok Facebook Medium X/Twitter

If you're thinking about Data Analyst or Data Scientist career paths, then this one is for you! In this episode with Data Career Jumpstart Founder Avery Smith, you'll learn about the differences between Analyst and Data Scientist career paths, and hear some practical advice to help you on your journey. You'll leave with a better understanding of different data roles, which might be the better fit for you, and a concrete roadmap for taking action and accelerating your career. What You'll Learn: Key differences between Data Analyst and Data Science roles The critical tools to focus on to land a job in either role A step by step playbook for building the skills you need to succeed   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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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. 🤝 Follow Ken on LinkedIn!   Register for free to be part of the next live session: https://bit.ly/3XB3A8b   Follow us on Socials: LinkedIn YouTube Instagram (Mavens of Data) Instagram (Maven Analytics) TikTok Facebook Medium X/Twitter

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   🤝 Follow Chris on LinkedIn!   Register for free to be part of the next live session: https://bit.ly/3XB3A8b   Follow us on Socials: LinkedIn YouTube Instagram (Mavens of Data) Instagram (Maven Analytics) TikTok Facebook Medium X/Twitter

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

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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   Register for free to be part of the next live session: https://bit.ly/3XB3A8b   Follow us on Socials: LinkedIn YouTube Instagram (Mavens of Data) Instagram (Maven Analytics) TikTok Facebook Medium X/Twitter

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.   Register for free to be part of the next live session: https://bit.ly/3XB3A8b   Interested in learning more about GenAI? 👉 https://lu.ma/oss4ai   Follow us on Socials: LinkedIn YouTube Instagram (Mavens of Data) Instagram (Maven Analytics) TikTok Facebook Medium X/Twitter

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.   Register for free to be part of the next live session: https://bit.ly/3XB3A8b   Follow us on Socials: LinkedIn YouTube Instagram (Mavens of Data) Instagram (Maven Analytics) TikTok Facebook Medium X/Twitter

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   Follow us on Socials: LinkedIn YouTube Instagram (Mavens of Data) Instagram (Maven Analytics) TikTok Facebook Medium X/Twitter

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!   Follow us on Socials: LinkedIn YouTube Instagram (Mavens of Data) Instagram (Maven Analytics) TikTok Facebook Medium X/Twitter

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.

datamovesme.com   Follow us on Socials: LinkedIn YouTube Instagram (Mavens of Data) Instagram (Maven Analytics) TikTok Facebook Medium X/Twitter

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     Follow us on Socials: LinkedIn YouTube Instagram (Mavens of Data) Instagram (Maven Analytics) TikTok Facebook Medium X/Twitter

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. Insights x Design Podcast Follow Andrew on LinkedIn

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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 Follow Chris on LinkedIn   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. Follow Alice on LinkedIn

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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. Follow Luke on LinkedIn Subscribe to Luke's YouTube Channel Luke's Python, SQL, and ChatGPT Courses

Kelly Adams is a data analyst, course creator, and writer. Kelly's Website Follow Kelly on LinkedIn Datanerd.Tech   Follow us on Socials: LinkedIn YouTube Instagram (Mavens of Data) Instagram (Maven Analytics) TikTok Facebook Medium X/Twitter

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. SQL for Healthcare Professionals Course Follow Thais on LinkedIn  

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If you're working on or trying to break into a career in Data Science or Data Engineering, this one is for you. In this episode, Data Engineering expert and recovering Data Scientist Joe Reis shares some of his best tips and strategies for folks looking to launch or accelerate their data careers. You'll leave with practical and actionable advice that you can use to take your career to the next level.   What You'll Learn: Key differences between Analytics, Data Science, and Data Engineering The top skills and tools to focus on for each of these career paths How rapidly changing technology like AI is impacting the future of data jobs   Register for free to be part of the next live session: https://bit.ly/3XB3A8b   About our guest: Joe Reis is a "recovering data scientist" and the co-founder & CEO of Ternary Data. Joe's newest course Fundamentals of Data Engineering Book Follow Joe on LinkedIn

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In this episode you'll hear best practices for building and leading analytics teams, the impact AI is already making on the industry, and how data teams should be thinking about the future.   Director of Analytics & Data Science Joe Squire will share practical tips for data leaders looking to build effective teams and navigate through today's rapidly changing environment, and give his thoughts on where things are headed.   What You'll Learn: Best practices for building and leading strong analytics teams The ways AI is changing analytics and where the data industry is headed How leaders need to be thinking AI and the long-term impact on their teams   Register for free to be part of the next live session: https://bit.ly/3XB3A8b   About our guest: Joe Squire is a Director of Analytics & Data Science in the healthcare industry. Joe helps companies like UPMC manage and use their data in a meaningful way to improve their healthcare outcomes. Follow Joe on LinkedIn

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In Analytics and Data Science departments, we've got a pretty good sense for why investing in data is important for any organization.   But how well could you pitch your company to spend its precious resources on improving data quality or better data management practices? Could you tell that data story to the right stakeholders when it matters?   In this episode, you'll hear from The Data Whisperer, Scott Taylor, sharing his best advice and practical tips for becoming a better storyteller and getting people to take action.   What You'll Learn: Why storytelling is a key skill for anyone who works in data The importance of data management, and what that really means Practical tips and frameworks for telling an effective data story   Register for free to be part of the next live session: https://bit.ly/3XB3A8b   About our guest: Scott Taylor The Data Whisperer, Scott Taylor, has helped countless companies by enlightening business executives to the strategic value of master data and proper data management. He focuses on business alignment and the "strategic WHY" rather than system implementation and the "technical HOW." At MetaMeta Consulting he works with Enterprise Data Leadership teams and Innovative Tech Brands to tell their data story. Get Scott's book: Telling Your Data Story: Data Storytelling for Data Management Follow Scott on LinkedIn

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Being able to present your analysis and convince your teammates to take action is a huge part of the job for any Data Analyst or Data Scientist. But for many of us, delivering effective presentations isn't something that comes naturally. Fortunately, everyone (including you) can improve their communication skills if they know what to focus on. In this session, we'll be sharing some of the best strategies and actionable advice to help you capture your audience, tell a story with your data, and most importantly, drive impact for your organization. You'll leave with specific tips that you'll be able to use immediately to take your presentation game to the next level.   What You'll Learn Why most presentations flop and how you can succeed How to stop sharing data and start telling stories instead The scientific approach to getting your audience to listen   Register for free to be part of the next live session: https://bit.ly/3XB3A8b   About our guest: Christopher Chin is a techie-turned leadership communication coach. He previously worked for Fortune 500 tech companies like Thermo Fisher Scientific, Humana, and Fannie Mae in the specialties of data journalism, data science, data visualization, and business intelligence. Each time, he saw extremely talented colleagues struggle to get the opportunities they deserved because they couldn't present, tell a story, and speak with confidence. Now he works as Founder & CEO of The Hidden Speaker, a training consultancy that puts tech professionals on the path to confident communication. He has returned to Fortune 500 companies to train their technical teams with highly specialized communication workshops, as well as taught for companies and universities around the world. As a speaker, coach, and trainer, Christopher's work has helped thousands demonstrate leadership through communication and he is passionate about convincing every introverted, techie out there that they, too, can bring out their hidden speaker. Check out Christopher's free e-book + Newsletter: The Ultimate Data Storytelling and Presentation Guide   Follow us on Socials: LinkedIn YouTube Instagram (Mavens of Data) Instagram (Maven Analytics) TikTok Facebook Medium X/Twitter  

Having a strong personal brand is one of the best things you can do to stand out from your competition in today's difficult job market.    In this episode, you'll learn why brand building should be at the top of your list, and more importantly, hear actionable tips that you can use to make progress right away.    We'll be sharing some of the best strategies, actionable advice, and personal anecdotes from two of the best personal brand builders in data, Kate Strachnyi and Kristen Kehrer.

You'll leave with a concrete path to building your brand and accelerating your career, starting today. What You'll Learn: Why personal brands matter more than ever in 2024 What a strong personal brand looks like How to start building your personal brand online   Register for free to be part of the next live session: https://bit.ly/3XB3A8b   About our guests: As the founder of DATAcated, Kate Strachnyi helps companies amplify their brand and expertise in artificial intelligence, machine learning, and data science. Kate is a content creator with over 200k followers across LinkedIn, YouTube, Instagram, and other platforms. She also runs a DATAcated Plus program with 25+ influencers that can be hired to 'make a spash' on social media.  As a marketing and branding expert, Kate has been recognized as a LinkedIn Top Voice in Data Science and Analytics for 2018 and 2019, and as a DataIQ USA100 for 2022. Kate is also the author of ColorWise: A Data Storyteller's Guide to the Intentional Use of Color.  https://www.datacated.com/brand-builder     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.

https://www.datamovesme.com/   Follow us on Socials: LinkedIn YouTube Instagram (Mavens of Data) Instagram (Maven Analytics) TikTok Facebook Medium X/Twitter