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.

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

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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.

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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