Learning Through Mistakes: My Personal Data Story
Leon Gordon
Founder / CEO of Onyx Data | Forbes Tech Council | Microsoft MVP | Global Keynote Speaker | Gartner Ambassador
Happy Wednesday
In today's newsletter, I will share some of my observations on Big Data and AI, past present and future.
Lessons Learned: My Data Journey
In this week's newsletter, I'm pulling back the curtain on my journey in the data world. I'll be sharing some of the mistakes I've made along the way - because let's face it, we all stumble sometimes! But don't worry, it's not all about my blunders. I've also got the latest scoop on AI updates and some juicy data news that you won't want to miss.
If this week’s topic resonates with you please repost to share with your connections.
Quality Over Quantity
In my journey as a data professional, I've discovered a crucial insight: success isn't about mastering every tool in the box. It's about finding what works best for you and becoming an expert in those areas.While many tout Excel as the must-have skill for data work, I've found my strength lies elsewhere. I've honed my expertise in SQL, Python, and Power BI, making these my go-to tools for delivering valuable insights to clients at Onyx Data.
The lesson? Don't spread yourself thin trying to excel at everything.
Instead:
Remember that it's not about trying to do it all in the tech space. Instead, focus on what you love and excel at—becoming a true expert in your chosen area can be far more rewarding.
Embracing the Mess of Real-World Analytics
As we all know, real-life data can be incredibly messy.
In academic settings, we often work with clean datasets that feature straightforward correlations. These idealised examples can create a sense of confidence, suggesting that data analysis is a smooth, predictable process. However, the reality outside the classroom is quite different. When you step into the real world, you’re confronted with data that is far from perfect. You’ll encounter noisy datasets filled with irregularities, inconsistencies, and outliers that seem to defy explanation.
This chaotic nature of real-world data can be daunting. You might find yourself saying goodbye to the comfort of linear regression and other straightforward models that worked well in theory. Instead, you’ll need to develop a more flexible mindset and be prepared to navigate the complexities of the data landscape. This shift requires a willingness to embrace uncertainty and adapt your analytical techniques to better fit the messiness at hand.
Embracing this complexity is not just a challenge; it’s an essential part of the learning journey. Engaging with messy data forces us to think critically about our assumptions and methodologies. It pushes us to explore new strategies and tools that can handle variability and unpredictability. This process of grappling with imperfections ultimately fosters growth, enabling us to become more skilled and adaptable analysts.
Remember, the journey through imperfect data is where the real learning happens. It’s about developing resilience and creativity as we work through challenges. Embracing the mess can lead to unexpected insights and a deeper understanding of the complexities of the world around us.
Read more here.
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TREND SPOTLIGHT FOR THIS WEEK
Coding in Canvas OpenAI
OpenAI has introduced Canvas, a new interface for ChatGPT that enhances collaboration on writing and coding projects.
Currently available to ChatGPT Plus and Team users, with plans to extend access to Enterprise and Edu users soon, Canvas allows for a more interactive experience by enabling users to work alongside ChatGPT in a separate window.
This feature optimises:
The underlying model, GPT-4o, has been trained to recognise when to activate Canvas based on user prompts, demonstrating significant improvements in editing behaviour and content generation accuracy. OpenAI plans to refine Canvas further based on user feedback, marking it as a major update since the platform's launch two years ago.
Read the full article here.
Finding Community with DataDNA
If you're a data enthusiast or an aspiring data analyst, finding a supportive community can make all the difference in your journey.
The Data DNA group is a fantastic opportunity for you to engage with like-minded individuals who understand the unique challenges we face in the field.
In this group, you’ll not only have the chance to participate in exciting challenges, but you’ll also connect with others who share your passion for data. It’s a vibrant space for networking, sharing experiences, and learning from one another, all while building lasting professional relationships.
Joining this community can help you break through feelings of isolation and inspire you to explore new ideas and opportunities. Don’t miss out on the chance to grow and thrive alongside fellow data enthusiasts!
Ready to take the next step? Join the Data DNA group!
This edition is sponsored by Onyx Data .
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