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Hey there, fellow data enthusiasts! It’s Gabe A., and I’ve got something bold to share with you today. As a passionate data scientist, educator, and lifelong learner, I’ve had the privilege of witnessing the remarkable evolution of coding over the past decade. But now, I encourage you to fasten your seatbelts because we’re about to embark on a journey that challenges conventional wisdom.
Over the years, I’ve immersed myself in the world of data analysis, visualization, and Python. My love for SQL, Python, Tableau, Power BI, and my Masters’s degree in statistics have shaped my perspective on the future of coding. As technology continues to advance and shape our world, I’m convinced that coding, as we know it, won’t exist in ten years. Here’s why:
I’ve witnessed a significant rise in the adoption of no-code and low-code platforms, which empowers individuals with little to no programming experience to build robust applications.
These platforms democratize technology and level the playing field for non-technical users. As a data educator, I see this trend as a sign of progress, making data science more accessible to a broader audience.
With AI’s incredible advancements, we’re already seeing AI-generated code snippets and entire programs. As a data scientist, I recognize the potential of AI to automate repetitive coding tasks, freeing up valuable time for more creative problem-solving and analysis.
For instance, AI algorithms can now generate Python code for data cleaning, feature engineering, and even model selection. This is a game-changer in the world of coding and data analysis.
I’ve witnessed a shift towards modularization and the creation of reusable components in programming. This approach allows developers to build upon existing codebases and accelerates software development.
As a consultant, I encourage my clients to embrace this practice, saving time and resources while building robust systems.