Скачать или смотреть Potential Takeaway’s for a 2025 Data Roadmap

Let’s discuss, Potential Takeaway’s for a 2025 Data Roadmap-

Math's vs Statistics- Statistics is the applied branch of mathematics focused on data; math is more abstract/theoretical
Emphasize data literacy and practical interpretation as essential for modern analysts.
Python vs SQL- Python (~90%) dominates among data professionals; SQL (~53%) remains indispensable
Highlight the complementary nature — Python for analysis/ML, SQL for data retrieval.
Excel & Core Tools- Excel remains massively used (1.1–1.5B users) and required in ~82% of analytics jobs.
Stress that mastery of fundamentals is still valuable even in an AI-heavy era.
Machine Learning (ML)- ML market reaching ~$49.6B (G7) / ~$55.8B (global) in 2024 with fast growth.
Strong indication of sustained industry integration; ML literacy is baseline now.
Deep Learning (DL)- Exponential growth shows increasing adoption of neural-network-based solutions.
DL market to grow from ~$96.8B (2024) → ~$526.7B (2030).
Generative AI (LLMs)- Adoption up from ~55% (2023) to ~75% (2024).
Emerging field moving toward mainstream — crucial for 2025–2030 skill planning.

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