Data Science Learning Path
All you need to be a Data Scientist.
Welcome to the world of data science — a dynamic field at the intersection of statistics, computer science, and domain expertise. Whether you’re embarking on a career change or enhancing your skills, navigating the vast landscape of resources can be daunting. There are many data science resources available online, and it’s easy for newcomers to feel overwhelmed and unsure where to begin. Fear not! This guide aims to streamline your journey by curating essential tools, courses, and communities to accelerate your growth as a data scientist.
DS Resources
I would recommend to follow the same order. I am open to suggestions and learnings for other’s experience
1.Python
5.NLP, Transformers
6.GenAI
7.Mlops
8.SQL
9.Pyspark
Additional Resources:
1.Analytics Vidya for blogs/Hackathons.
2.Follow Statquest if you want to visualize any data science concept topic
3.Solve Easy/Medium Leetcode for python
4.Krish Naik for simplified explanation and new Data Science topics
5.My Blog on RAG, Reinforcement Learning etc.
As you venture into the realm of data science, remember that learning is a continuous journey. Embrace curiosity, stay resilient through challenges, and leverage the diverse resources available to you. While the abundance of resources can be overwhelming at first, trust in your ability to navigate and use this guide as a compass. Whether you’re analyzing data to uncover insights, building machine learning models, or driving impactful decisions, your dedication to mastering this field will shape the future of technology and innovation.
Best of luck on your path to becoming a proficient data scientist!
I would like to express my gratitude to all the authors, bloggers, and publishers mentioned above for generously sharing their knowledge publicly. Their contributions have been invaluable in shaping my journey in data science.
