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.

• 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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Interested in learning more about GenAI? 👉 https://lu.ma/oss4ai

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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!

• 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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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.

• 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.

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

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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!

• 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.

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

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

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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.

• 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.

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

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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!

• 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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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.

• 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.

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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.

• 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.

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