Mavens of Data

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

Analytics Engineering is one of the hottest career paths in data today, but many struggle to understand how to break in and where they should focus. In this episode, we demystify Analytics Engineering. Madison Schott talks about the career path of an Analytics Engineer, what they do for companies, and the tools they use. She also shares some of the best strategies and actionable advice for those looking to break into Analytics Engineering or take their career to the next level.   What You'll Learn: The day-to-day responsibilities and potential career paths of an Analytics Engineer The skills you should focus on if you want to break into Analytics Engineering Tips for networking, finding jobs, and acing the Analytics Interview   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 Sign up for Madison's newsletter The ABCs of Analytics Engineering E-Book Follow Madison on LinkedIn   Follow us on Socials: LinkedIn YouTube Instagram (Mavens of Data) Instagram (Maven Analytics) TikTok Facebook Medium X/Twitter

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

Microsoft Excel is the most widely used data analysis tool on the planet, but somehow it doesn’t get the love it deserves.   In this episode, Sonali and Chris talk about how they leverage Excel in their data roles at prominent companies, and share practical tips you can use to add more value to your own organization.   You’ll leave the show with an insider’s look at where Excel can make a big impact, and actionable advice about what to learn next to take your game to the next level.   What You'll Learn: What makes Excel the most versatile tool used by data professionals How Chris and Sonali are leveraging Excel to drive value at their organizations Tips for where to focus to get the most out of Excel   Register for free to be part of the next live session: https://bit.ly/3XB3A8b   About our guests: Sonali Kumar works as a Data Analyst specializing in HR Analytics. She is also a podcast host of “Success Beyond Our Greatest Fears.” Follow Sonali on LinkedIn   Chris French is a Data Advisor, LinkedIn Learning Instructor, and founder of DataFrenchy Academy Follow Chris on LinkedIn   Follow us on Socials: LinkedIn YouTube Instagram (Mavens of Data) Instagram (Maven Analytics) TikTok Facebook Medium X/Twitter

Data governance is more important than ever today, but it’s something a lot of companies still struggle with.  During this live show, George Firican will demystify data governance, breaking down its core components and sharing practical advice that you can use to make improvements at your organization.    What You'll Learn: Why data governance is more important than ever in 2024 The core pillars of a strong data governance program  Practical tips for launching a new data governance program   Register for free to be part of the next live session: https://bit.ly/3XB3A8b   About our guest: George Firican is the Founder of LightsOnData, and a Data Governance expert and course creator. The Practical Data Governance: Implementation Course  Subscribe to George's YouTube Channel Follow George on LinkedIn   Follow us on Socials: LinkedIn YouTube Instagram (Mavens of Data) Instagram (Maven Analytics) TikTok Facebook Medium X/Twitter

Megan Bowers has had a fascinating career path. She studied Industrial Engineering before landing in data where she’s held roles as an Analyst, Senior Analyst, Data Journalist, and is now the host of the Alter Everything podcast by Alteryx.  In this episode, Megan shares practical tips and useful anecdotes from her journey, and talks about some of the best lessons she’s learned as a Data Journalist and from hosting a data-focused podcast.    What You'll Learn: How data professionals need to be thinking about AI and considerations for building trust in the technology Takeaways from thought leaders on the podcast on AI strategy, analytics excellence, and data storytelling How building your professional brand can change your career trajectory and create opportunities   Register for free to be part of the next live session: https://bit.ly/3XB3A8b   About our guest: Megan Bowers is the Senior Content Manager at Alteryx and host of the Alter Everything podcast by Alteryx Alter Everything Podcast Building Your Professional Brand Megan's Medium Blog Follow Megan on LinkedIn   Follow us on Socials: LinkedIn YouTube Instagram (Mavens of Data) Instagram (Maven Analytics) TikTok Facebook Medium X/Twitter

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

Are you ready to elevate your career and advance from Analyst to Sr. Analyst and beyond?   In this episode, you’ll hear from two fantastic Analytics Managers who each lead their own data teams, and know exactly what it takes to get to the next level.   We’ll be sharing some of their best strategies and actionable advice that will help you understand where to focus if you want to advance your career.   What You'll Learn: The skills Analysts should be focusing on to move to the next level What the promotion process looks like on the Manager side Tips for fast-tracking yourself, and career-limiting pitfalls to avoid   Register for free to be part of the next live session: https://bit.ly/3XB3A8b   About our guests: Drew Mooney is an Analytics Manager and Founder at Data Analyst Coaching. Follow Drew on LinkedIn   Katie Underwood is an Analytics Manager at Cree LED. Follow Katie on LinkedIn   Follow us on Socials: LinkedIn YouTube Instagram (Mavens of Data) Instagram (Maven Analytics) TikTok Facebook Medium X/Twitter

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  

Data quality is the foundation of everything we do as Data Analysts and Data Scientists. So why do so many organizations suffer from dirty data? And what can you do to clean it up? In this session, we’ll share some of the best data cleaning strategies and real actionable advice from The Classification Guru, Susan Walsh. You’ll leave with a solid plan to start identifying problems with your data, and most importantly, to start fixing them on the path to clean data. What You'll Learn: Why dirty data is such a big problem, and the benefits of cleaning it up The most common types of dirty data you should be on the lookout for Where you should focus your data cleaning efforts to make the biggest impact   Register for free to be part of the next live session: https://bit.ly/3XB3A8b   About our guest: Susan Walsh is a specialist in data classification, taxonomy customisation and data cleansing. She also created the COAT philosophy, which is at the core of The Classification Guru's work. By bringing clarity and accuracy to data and procurement, Susan helps teams work more effectively and efficiently More than a numbers gal, Susan’s also an industry thought leader, TEDx speaker and author of the published ‘Between the Spreadsheets: Classifying and Fixing Dirty Data’. She’s also spoken globally at events such as ProcureCon, Big Data LDN, Big Data & AI World and she cuts through the jargon to address the issues of dirty data and its consequences in an entertaining and engaging way. Fix your dirty data now: www.theclassificationguru.co   Follow us on Socials: LinkedIn YouTube Instagram (Mavens of Data) Instagram (Maven Analytics) TikTok Facebook Medium X/Twitter