for Emerging Data Scientists

New Year Resolutions

Image Credit: Analytics Drift


Embark on a journey of growth and expertise in 2024 with these essential resolutions for every data science aspirant.

Mastering MLOps

Learning MLOps: Commit to understanding Machine Learning Operations to streamline and scale your AI and machine learning projects efficiently.

Fine-Tuning Open Source LLMs

Learning to fine-tune open-source LLMs: Dive deep into the art of fine-tuning Large Language Models to tailor them to specific needs and tasks.

Deploying Open Source LLMs

Learning to deploy open-source LLMs: Gain hands-on experience in deploying these powerful models, making them accessible and functional for real-world applications.

Optimizing Models to Outperform GPT-4

Learning to optimize open-source LLMs: Focus on enhancing and tweaking models to outperform GPT-4 in specific tasks, pushing the boundaries of what's possible.

Building a Strong Foundation in Math and Statistics

Invest time in strengthening your understanding of the mathematical and statistical concepts that underpin machine learning and AI.

Engaging with the Data Science Community

Resolve to connect with fellow data science professionals and enthusiasts. Participate in forums, attend webinars, and contribute to open-source projects.

Staying Updated with Latest Trends and Research

Keep abreast of the latest developments, research papers, and trends in AI and machine learning to ensure your skills remain relevant and cutting-edge.

Focusing on Ethical AI Practices

Commit to understanding and advocating for ethical AI practices, ensuring the responsible and fair use of technology.


Make 2024 a year of significant growth and achievement. With these resolutions, you're not just preparing for the future; you're shaping it.

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Produced by: Analytics Drift Designed by: Prathamesh