This article highlights the innovative roles AI will usher in in the upcoming years. — Table of Contents Job #1: AI Security Analyst & AI Defense Engineer Job #2: AI Data Engineer & Data Curator Job #3: AI Data Compliance Specialist Job #4: AI Policy Regulator Job #5: Chief AI Ethics Officer and Quantitative AI Ethicist Job #6: Prompt Engineer Job #7: AI Experience Engineer Conclusion ChatGPT has…

I don’t think the Code Interpreter is as big a leap as people are hyping it up to be. Data professionals should beware of these problems. Can there be a workaround for them? — Table of Contents • The Power of the Code Interpreter • The Limitations of the Code Interpreter • • • Database Inaccessibility • • • Python Versioning Inhibitions • • • Unavailable Libraries • • • GPU Constraint • Getting Around These Issues

Discussing the relevance of data science in the AI-driven future and providing a step-by-step guide on how to learn data science effectively by leveraging AI tools — Table of Contents • Will Data Science Still Be Relevant? • Why Should You Use AI to Learn Data Science? • How to Actually Go About Learning Data Science with AI Step 1: Develop A Roadmap Step 2: Design ChatGPT to Be My Tutor Step 3: Develop a Course of Study

As artificial intelligence exerts a groundbreaking impact on our daily lives, we are at a crossroads: adapt to create new opportunities or risk falling behind. What kinds of challenges does this new reality potentially pose? — The Paradigm Shift Upon the first moment I used GPT-4, I knew something was different. This might make me sound old, but it felt the same as when the first smartphone was released. When that happened, there was a rapid and irreversible integration of technology into our daily lives. I can probably count…

With GPT-4 out, I’ll never code the same again. The good news is that I’m 5 hours faster each week. The bad news is that I may forget how to code altogether. — Table of Contents No. 1: The Cold Start Problem No. 2: Conversational Coding No. 3: ChatGPT Like A Function GPT-4 Vs. Previous Versions I’ve been working with ChatGPT for the last few months and GPT-4 for the last month. I can honestly say, the way I approach writing code has been forever changed…

The 8 recommended ways ChatGPT helped improve my data science agility. And is this technology primed for replacing data scientists? — I’ve found ChatGPT useful, and I feel like it is important to share how this tool has benefited me in my work as a data scientist. This technology has saved me at least 4–5 hours per week over the last 3 months, and I’m excited to share how I do…

Why my favorite tool is better than dual booting and virtual machines — I am excited to write about one of my favorite tools. This is something that has made a tangible impact on my data science work and content creation. What is this magical tool you might ask? Well, it is the WSL 2. …

Are you curious about data science? Are you interested in the work of your data scientist coworker? Do you want to become a data scientist? This is your primer into this exciting field! — Table Of Contents A (Very Brief) History How Data Scientists Create Value With Data Tools Data Scientists Use What Problems Do Data Scientists Solve? How Do Machines Learn? What Is A Data Science Project Like? Conclusion

I show you how to map out your journey from scratch so you hopefully can unlock your potential — Table of Contents Is It Possible To Learn Data Science? Where To Start Learning How To Create A Learning Map What Would My Learning Map Look Like? Before You Start With Projects… Statistics??? Project Obsession How To Leverage Projects Effectively How Long Will This Take? An Important Note On Goals Appendix