Hello IBM TechXchange Community,
I'm excited to be part of this group and wanted to start a discussion around AI and Data Science learning paths, especially from an industry and practical perspective.
I'd love to hear from community members on:
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Which core skills are most important for beginners in AI & Data Science?
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Recommended tools, frameworks, or platforms (Python, SQL, ML libraries, IBM tools, etc.)
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How IBM technologies (like watsonx, LinuxONE, IBM Z) fit into real-world AI/Data Science workflows
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Tips for students or early professionals to build hands-on projects and gain experience
This discussion could really help learners understand how to move from theory to practical implementation.
Looking forward to your insights and experiences.
Thanks!
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Gunjan Ghangare
Student | AI & Data Science Enthusiast
B.Tech (Computer Science)
IBM TechXchange Community Member
India
📧
gunjanghangare590@gmail.comGunjan | IBM TechXchange | Student
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